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@Article{Ageenko:1999:FAM,
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++rL&("E
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ҍZ5
@Article{AlHafeedh:2012:CIB,
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@Article{Alameldeen:2004:ACC,
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note = "Also published in/as: File Organization, Siwerts and
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abstract = "The ``information explosion'' noted in recent years
makes it essential that storage requirements for all
information be kept to a minimum. A fully automatic and
rapid threepart compressor which can be used with
``any'' body of information to greatly reduce slow
external storage requirements and to increase the rate
of information transmission through a computer is
described in this paper. The system will also
automatically decode the compressed information on an
itembyitem basis when it is required. The three
component compressors, which can be used separately to
accomplish their specific tasks, are discussed: NUPAK
for the automatic compression of numerical data, ANPAK
for the automatic compression of ``any'' information,
and IOPAK for further compression of information to be
stored on tape or cards.",
acknowledgement = acknhfb,
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>Y '3'1 {5E1;1 mastersthesisdatacompression.bibTsui:1972:DCPStephen S. T. TsuiData Compression with Particular Applications to Video SignalsM.Eng.Department of Electrical Engineering, McGill UniversityMontreal, QC, Canadaiii + 151dec121972Mon Jan 28 15:10:29 MST 2013amicus.nlcbnc.ca:210/NL; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.28 15:10:29 MSThttp://digitool.library.mcgill.ca/thesisfiȋ3=V 33;I;a57E};[;Iaarticledatacompression.bibSchalkwijk:1972:ASCJ. Pieter M. SchalkwijkAn Algorithm for Source CodingjIEEETRANSINFTHEORY183395399may51972IETTAWhttp://dx.doi.org/10.1109/TIT.1972.105483200189448 (print), 15579654 (electronic) OR 00189448 (print), 15579654 (electronic)00189448 OR 00189448Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tession with Particular Applications to Video
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volume = "15",
number = "4",
pages = "308313",
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;o?EWc!#oWo%articledatacompression.bibJordan:1974:CORB. W. Jordan, Jr. and R. C. BarrettA Cell Organized Raster Display for Line DrawingsjCACM1727077feb21974CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Sat Jan 26 12:46:16 MST 2013Compendex database; htt~K\ 3'!s57E;U?uEc!AU!sarticledatacompression.bibHahn:1974:NTCBruce HahnA New Technique for Compression and Storage of DatajCACM178434436aug81974CACMA200010782 (print), 15577317 (electronic) OR 0 "A Cell Organized Raster Display for Line Drawings",
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abstract = "Raster scan computer graphics displays with ``real
time'' character generators have previously been
limited to alphanumeric characters. A display is
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organization to include general graphics. The
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minimum number of patterns required in the read only
memory of the character generator to synthesize an
arbitrary line. The synthesis process does not
compromise picture quality, since the resulting dot
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}ge data compression by predictive coding. {I}.
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ck and white) digital images are dealt with.H. Kobayashi and L. R. BahlImage data compression by predictive coding. {I}. Prediction algorithms
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RRS\3'?Y57E;[k=A'G?YiarticledatRV 35g%O5C7;e95q7phdthesisdatacompression.bibHilbert:1975:JCSEdward Erwin HilbertA Joint Clustering / Data Compression ConceptPh.D. thesisUniversity of Southern CaliforniaLos Ange6QY'3/9;K'E};9;Kinproceedingsdatacompression.bibGottlieb:1975:CCMD. Gottlieb and othersProceedings of the National Computer Conference, May 1922, 1975, Anaheim, California.A Classification of Compression Methods and their Usefulness for a Large Data Processing Center44pubAFIPSpubAFIPS:adr4534581975Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsD. Gottlieb and othersProceedings of the National Computer Conference, May 19ustering \slash Data Compression Concept",
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bibdate = "Fri Feb 1 09:20:36 MST 2013",
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}nted Information Compression",
journal = jIBMJRD,
volume = "19",
number = "2",
pages = "141145",
month = mar,
year = "1975",
CODEN = "IBMJAE",
ISSN = "00188646 (print), 21518556 (electronic)",
ISSNL = "00188646",
bibdate = "Tue Mar 25 14:26:59 MST 1997",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib",
abstract = "A new scheme is presented for information compression
that does not use information statistics. Each
information block is represented by two subblocks
called the alphabet and the generator. The alphabet
contains the linearly independent elements; the
generator is computed through the linear combination of
the linearly dependent elements. The total length of
these two subblocks is generally shorter (never
greater) than the original block.",
acknowledgement = acknhfb,
classcodes = "B6110 (Information theory); C1260 (Information
theory); C6130 (Data handling techniques)",
classification = "723",
corpsource = "IBM, White Plains, NY, USA",
fjournal = "IBM Journal of Research and Development",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520",
journalabr = "IBM J Res Dev",
keywords = "binary; binary number compression; CPUs; data base;
data bases; data compression; data processing;
information block; information compression; information
statistics; information theory; information theory 
Data Compression; number reconstruction; one pass
algorithm; statistical analysis; statistics",
treatment = "T Theoretical or Mathematical",
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abstract = "A new scheme is presented for information compression
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information block is represented by two subblocks
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http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_02/tiff/159.tif;
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@Article{Razzaque:2013:CWS,
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@Article{Qu:2012:ISD,
author = "Zhenhua Qu and Weiqi Luo and Jiwu Huang",
title = %F
@Article{Raita:1987:ASF,
author = "T. Raita",
title = "An Automatic System for FiP!
@Article{Ramabadran:1988:TCC,
author = "Tenkasi V. Ramabadran and Sunil S. Gaitonde",
ti<
@Article{Ranganathan:1991:VAD,
author = "N. Ranganathan and Amar Mukherjee and M. Bassiouni",
title = "{VLSI} t
@Article{Ratcliff:1992:AC,
author = "John W. Ratcliff",
title = "Audio compression",
journal = jDDJ,
volume = t
@Article{Razzaque:2013:CWS,
author = "M. A. Razzaque and Chris Bleakley and Simon Dobson",
title = "Compression in wireless senso%·gO
@Article{Reddy:1988:DCT,
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tiD._03/tiff/243.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/244.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/245.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/246.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/247.tifThe Computer Journalaerospace applications of computers; data compression; ESRO 1; Hadamard; information theory; on ground compression; Run length method; satellite data; satellites; Shannon Fano method; transformationacknhfbB6140 (Signal processing and detection); C1260 (Information theory); C7490 (Computing in other engineering fields)Electrical Engng. Dept., Imperial Coll. of Sci. and Technol., London, UKhttp://comjnl.oxfordjournals.org/A Application; P PracticalL. F. TurnerThe `onground' compression of satellite data
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classification = "0544: Electrical engineering",
dissertationthesisnumber = "NK28592",
subject = "Electrical engineering",
xxpages = "xiv [i.e., xv] + 153",
xxyear = "1977",
}
WW4ZZ3)Cc_57CS;c5[O#Cck articledatacompression.bibDance:1976:ALDD. L. Dance and U. W. PoochAn adaptive on line data compression systemjCOMPJ193216224aug81976CMPJA6http://dx.doi.org/10.1093/comjnl/19.3.21600104620 (print), 14602067 (electronic) OR 001>SYY 33=5Ck;%e9=%phdthesisdatacompression.bibBudihardjo:1976:DCAPeter Setiadi BudihardjoData Compression Algorithms for Encoding of Digital Sources[unknown]Computer Communications Network Group, University of WaterlooWaterloo, ON, Canadaxii + 1521976Fri Feb 1 09:20:32 MST 2013amicus.nlcbnc.ca:210/NL; http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSTReport E69.http://search.proquest.com/docview/302833917Electrical engineeringacknhfbPeter Setiadi BudihardjoRepo9U'3)CE'C};CEw inproceedingsdatacompression.bibGamal:1984:IDCA. El Gamal and A. OrlitskyInteractive Data CompressionIEEE:1984:ASF1001081984Thu Apr 5 06:13:39 MDT 2001http://www.math.utah.edu/pub/tex/bib/datacompression.bib2001.04.05 06:13:39 MDTacknhfbA. El Gamal and A. OrlitskyInteractive Data Compression
@InProceedings{Gamal:1984:IDC,
author = "A. El Gamal and A. Orlitsky",
title = "Interactive Data Compression",
crossref = "IEEE:1984:ASF",
pages = "100108",
year = "1984",
bibdate = "Thu Apr 5 06:13:39 MDT 2001",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
}ength coding for graylevel
pictures",
journal = jATTBELLLABTECHJ,
volume = "63",
number = "2",
pages = "249260",
year = "1984",
CODEN = "ABLJER",
ISSN = "0748612X",
bibdate = "Fri Nov 12 09:17:39 2010",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/bstj1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
abstract = "This paper presents a new variablelength coding
algorithm for bitrate reduction of digital images. The
coding scheme is based on the fact that by taking into
account the local conditional statistics of the
picture, the coding efficiency can be improved
considerably. Results of computer simulations are
presented in terms of picture quality and required bit
rate. Simulations show that for various Differential
Pulse Code Modulation (DPCM) coded pictures, coding
efficiency is such that a bit rate below the entropy of
the DPCM quantizer output is attained. For a 3bit DPCM
encoded picture, a bit rate of 1.64 bits/picture
element is achieved.",
acknowledgement = acknhfb,
fjournal = "AT\&T Bell Laboratories Technical Journal",
keywords = "data processing  code converters; pulse code
modulation",
subject = "conditional variablelength coding; digital image
reduction; graylevel picture coding",
topic = "image processing",
}mulations are presented in terms of picture quality and required bit rate. Simulations show that for various Differential Pulse Code Modulation (DPCM) coded pictures, coding efficiency is such that a bit rate below the entropy of the DPCM quantizer output is attained. For a 3bit DPCM encoded picture, a bit rate of 1.64 bits/picture element is achieved.AT&T Bell Laboratories Technical Journaldata processing  code converters; pulse code modulationconditional variablelength coding; digital image reduction; graylevel picture codingacknhfbThis paper presents a new variablelength coding algorithm for bitrate reduction of digital images. The coding scheme is based on the fact that by taking into account the local conditional statistics of the picture, the coding efficiency can be improved considerably. Results of computer simulations are presented in terms of picture quality and required bit rate. Simulations show that for various Differential Pulse Code Modulation (DPCM) coded pictures, coding efficiency is such that a bit rate below the entropy of the DPCM quantizer output is attained. For a 3bit DPCM encoded picture, a bit rate of 1.64 bits/picture element is achieved.H. GharaviConditional variablelength coding for graylevel pictures
@Article{Gharavi:1984:CVL,
author = "H. Gharavi",
title = "Conditional variablelength coding for graylevel
pictures",
journal = jATTBELLLABTECHJ,
volume = "63",
number = "2",
pages = "249260",
year = "1984",
CODEN = "ABLJER",
ISSN = "0748612X",
bibdate = "Fri Nov 12 09:17:39 2010",
bibsource = "Compendex database;
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http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
abstract = "This paper presents a new variablelength coding
algorithm for bitrate reduction of digital images. The
coding scheme is based on the fact that by taking into
account the local conditional statistics of the
picture, the coding efficiency can be improved
considerably. Results of computer simulations are
presented in terms of picture quality and required bit
rate. Simulations show that for various Differential
Pulse Code Modulation (DPCM) coded pictures, coding
efficiency is such that a bit rate below the entropy of
the DPCM quantizer output is attained. For a 3bit DPCM
encoded picture, a bit rate of 1.64 bits/picture
element is achieved.",
acknowledgement = acknhfb,
fjournal = "AT\&T Bell Laboratories Technical Journal",
keywords = "data processing  code converters; pulse code
modulation",
subject = "conditional variablelength coding; digital image
reduction; graylevel picture coding",
topic = "image processing",
}
uu@W 3%wE};{omiscdatacompression.bibISO:1984:IPSISOInformation Processing Systems  O?\ 3!77=;]9!articledatacompression.bibGharavi:1984:CVLH. GharaviConditional variablelength coding for graylevel picturesjATTBELLLABTECHJ6322492601984ABLJER0748612X OR 0748612XFri Nov 12 09:17:39 2010Compendex database; http://www.math.utah.edu/pub/tex/bib/bstj1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2010.11.12 09:17:39 ???This paper presents a new variablelength coding algorithm for bitrate reduction of digital images. The coding scheme is based on the fact that by taking into account the local conditional statistics of the picture, the coding efficiency can be improved considerably. Results of computer siata Communication
HighLevel Data Link Control ProcedureFrame Structure:
{IS 3309}",
edition = "Third",
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acknowledgement = ackds,
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@Misc{ISO:1984:IPS,
author = "ISO",
title = "Information Processing Systems  Data Communication
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} MixedOrder Model Structures for Data
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type = "IBM research report",
number = "RJ4163 (46091)",
institution = pubIBM,
address = pubIBM:adr,
pages = "??",
day = "18",
month = jan,
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acknowledgement = ackds,
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research report RJ4163 (46091), January 18, 1984, San
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}RJ4163 (46091)pubIBMpubIBM:adr18jan11984Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsGlen G. LangdonOn Parsing vs. MixedOrder Model Structures for Data Compression
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]BY 3)3O1m/=c;3#%3Ophdthesisdatacompression.bibLiang:1984:WHPFranklin Mark LiangWord Hyphenation by ComputerPh.D. dissertationComputer Science Department, Stanford UniversityStanford, CA, USA92mar31984Fri Jul 08 14:48:58 2005http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/texbook3.bib2005.07.08 14:48:58 ???http://www.tug.org/docs/liang/; http://wwwlib.umi.com/dissertations/fulbAW !3+
3+#E};+
/techreportdatacompression.bibLangdon:1984:PVMGlen G. LangdonOn Parsing vs. MixedOrder Model Structures for Data CompressionIBM research reportation by Computer",
type = "{Ph.D.} dissertation",
school = "Computer Science Department, Stanford University",
address = "Stanford, CA, USA",
pages = "92",
month = mar,
year = "1984",
bibdate = "Fri Jul 08 14:48:58 2005",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/texbook3.bib",
URL = "http://www.tug.org/docs/liang/;
http://wwwlib.umi.com/dissertations/fullcit/8329742",
abstract = "This thesis describes research leading to an improved
word hyphenation algorithm for the T(,E)X82 typesetting
system. Hyphenation is viewed primarily as a data
compression problem, where we are given a dictionary of
words with allowable division points, and try to devise
methods that take advantage of the large amount of
redundancy present. The new hyphenation algorithm is
based on the idea of hyphenating and inhibiting
patterns. These are simply strings of letters that,
when they match in a word, give us information about
hyphenation at some point in the pattern. For example,
`tion' and `cc' are good hyphenating patterns. An
important feature of this method is that a suitable set
of patterns can be extracted automatically from the
dictionary. In order to represent the set of patterns
in a compact form that is also reasonably efficient for
searching, the author has developed a new data
structure called a packed trie. This data structure
allows the very fast search times characteristic of
indexed tries, but in many cases it entirely eliminates
the wasted space for null links usually present in such
tries. We demonstrate the versatility and practical
advantages of this data structure by using a variant of
it as the critical component of the program that
generates the patterns from the dictionary. The
resulting hyphenation algorithm uses about 4500
patterns that compile into a packed trie occupying 25K
bytes of storage. These patterns find 89\% of the
hyphens in a pocket dictionary word list, with
essentially no error. By comparison, the uncompressed
dictionary occupies over 500K bytes.",
acknowledgement = acknhfb,
}lcit/8329742This thesis describes research leading to an improved word hyphenation algorithm for the T(,E)X82 typesetting system. Hyphenation is viewed primarily as a data compression problem, where we are given a dictionary of words with allowable division points, and try to devise methods that take advantage of the large amount of redundancy present. The new hyphenation algorithm is based on the idea of hyphenating and inhibiting patterns. These are simply strings of letters that, when they match in a word, give us information about hyphenation at some point in the pattern. For example, `tion' and `cc' are good hyphenating patterns. An important feature of this method is that a suitable set of patterns can be extracted automatically from the dictionary. In order to represent the set of patterns in a compact form that is also reasonably efficient for searching, the author has developed a new data structure called a packed trie. This data structure allows the very fast search times characteristic of indexed tries, but in many cases it entirely eliminates the wasted space for null links usually present in such tries. We demonstrate the versatility and practical advantages of this data structure by using a variant of it as the critical component of the program that generates the patterns from the dictionary. The resulting hyphenation algorithm uses about 4500 patterns that compile into a packed trie occupying 25K bytes of storage. These patterns find 89% of the hyphens in a pocket dictionary word list, with essentially no error. By comparison, the uncompressed dictionary occupies over 500K bytes.acknhfbThis thesis describes research leading to an improved word hyphenation algorithm for the T(,E)X82 typesetting system. Hyphenation is viewed primarily as a data compression problem, where we are given a dictionary of words with allowable division points, and try to devise methods that take advantage of the large amount of redundancy present. The new hyphenation algorithm is based on the idea of hyphenating and inhibiting patterns. These are simply strings of letters that, when they match in a word, give us information about hyphenation at some point in the pattern. For example, `tion' and `cc' are good hyphenating patterns. An important feature of this method is that a suitable set of patterns can be extracted automatically from the dictionary. In order to represent the set of patterns in a compact form that is also reasonably efficient for searching, the author has developed a new data structure called a packed trie. This data structure allows the very fast search times characteristic of indexed tries, but in many cases it entirely eliminates the wasted space for null links usually present in such tries. We demonstrate the versatility and practical advantages of this data structure by using a variant of it as the critical component of the program that generates the patterns from the dictionary. The resulting hyphenation algorithm uses about 4500 patterns that compile into a packed trie occupying 25K bytes of storage. These patterns find 89\% of the hyphens in a pocket dictionary word list, with essentially no error. By comparison, the uncompressed dictionary occupies over 500K bytes.Franklin Mark LiangWord Hyphenation by Computer
@PhdThesis{Liang:1984:WHP,
author = "Franklin Mark Liang",
title = "Word Hyphenation by Computer",
type = "{Ph.D.} dissertation",
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month = mar,
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URL = "http://www.tug.org/docs/liang/;
http://wwwlib.umi.com/dissertations/fullcit/8329742",
abstract = "This thesis describes research leading to an improved
word hyphenation algorithm for the T(,E)X82 typesetting
system. Hyphenation is viewed primarily as a data
compression problem, where we are given a dictionary of
words with allowable division points, and try to devise
methods that take advantage of the large amount of
redundancy present. The new hyphenation algorithm is
based on the idea of hyphenating and inhibiting
patterns. These are simply strings of letters that,
when they match in a word, give us information about
hyphenation at some point in the pattern. For example,
`tion' and `cc' are good hyphenating patterns. An
important feature of this method is that a suitable set
of patterns can be extracted automatically from the
dictionary. In order to represent the set of patterns
in a compact form that is also reasonably efficient for
searching, the author has developed a new data
structure called a packed trie. This data structure
allows the very fast search times characteristic of
indexed tries, but in many cases it entirely eliminates
the wasted space for null links usually present in such
tries. We demonstrate the versatility and practical
advantages of this data structure by using a variant of
it as the critical component of the program that
generates the patterns from the dictionary. The
resulting hyphenation algorithm uses about 4500
patterns that compile into a packed trie occupying 25K
bytes of storage. These patterns find 89\% of the
hyphens in a pocket dictionary word list, with
essentially no error. By comparison, the uncompressed
dictionary occupies over 500K bytes.",
acknowledgement = acknhfb,
}ls, and Formal Languages",
journal = jCOMPUTERSANDGRAPHICS,
volume = "18",
number = "3",
pages = "110",
month = jul,
year = "1984",
CODEN = "CGRADI, CPGPBZ",
ISSN = "00978930 (print), 15584569 (electronic)",
ISSNL = "00978930",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "Ai/alife.bib;
http://www.math.utah.edu/pub/bibnet/authors/m/mandelbrotbenoit.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "Applications of formal grammars for generating graphic
fractals  ``graftals''  in the modeling of
plants.",
acknowledgement = ackds,
annote = "Graftals. Methods for displaying natural objects based
on formal language models are presented. In particular,
deterministic models are shown to exhibit sufficient
variety to be used in production graphic systems.",
fjournal = "Computer Graphics",
journalURL = "http://www.sciencedirect.com/science/journal/00978493",
keyword = "fractals; modelsgraphics; plants; automatatheory",
rawdata = "Smith, Alvy Ray (1984) ``Plants, Fractals and Formal
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{\bf18}(3):110.",
xxauthor = "Alvy Ray Smith",
}graphic fractals  ``graftals''  in the modeling of plants.Computer GraphicsackdsGraftals. Methods for displaying natural objects based on formal language models are presented. In particular, deterministic models are shown to exhibit sufficient variety to be used in production graphic systems.http://www.sciencedirect.com/science/journal/00978493Alvy Ray {Smith III}Applications of formal grammars for generating graphic fractals  ``graftals''  in the modeling of plants.Plants, Fractals, and Formal Languages
@Article{Smith:1984:PFF,
author = "Alvy Ray {Smith III}",
title = "Plants, Fractals, and Formal Languages",
journal = jCOMPUTERSANDGRAPHICS,
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note = "Applications of formal grammars for generating graphic
fractals  ``graftals''  in the modeling of
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acknowledgement = ackds,
annote = "Graftals. Methods for displaying natural objects based
on formal language models are presented. In particular,
deterministic models are shown to exhibit sufficient
variety to be used in production graphic systems.",
fjournal = "Computer Graphics",
journalURL = "http://www.sciencedirect.com/science/journal/00978493",
keyword = "fractals; modelsgraphics; plants; automatatheory",
rawdata = "Smith, Alvy Ray (1984) ``Plants, Fractals and Formal
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22WDY 3))o!57Ek;S)oarticledatacompression.bibWelch:1984:THPTerry A. WelchA Technique for HighPerformance Data CompressionjCOMPUTER176819jun61984CPTRB4http://doi.ieeecomputersociety.org/10.1109/MC.1984.165915800189162 (print), 15580814 (electronic) OR 00189162 (print), 15580814 (electronic)0018916?CZ 3)1Y=)57E#;k/7w5kYi
articledatacompression.bibSmith:1984:PFFAlvy Ray Smith IIIPlants, Fractals, and Formal LanguagesjCOMPUTERSANDGRAPHICS183110jul71984CGRADI, CPGPBZ00978930 (print), 15584569 (electronic) OR 00978930 (print), 15584569 (electronic)00978930 OR 00978930Sat Jan 26 12:46:16 MST 2013Ai/alife.bib; http://www.math.utah.edu/pub/bibnet/authors/m/mandelbrotbenoit.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTApplications of formal grammars for generating Performance Data Compression",
journal = jCOMPUTER,
volume = "17",
number = "6",
pages = "819",
month = jun,
year = "1984",
CODEN = "CPTRB4",
DOI = "http://doi.ieeecomputersociety.org/10.1109/MC.1984.1659158",
ISSN = "00189162 (print), 15580814 (electronic)",
ISSNL = "00189162",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/computer1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "Computer",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2",
rawdata = "Welch, T. A. (1984) ``A Technique for HighPerformance
Data Compression,'' {\it IEEE Computer},
{\bf17}(6):819, June.",
remark = "This is the paper with the LempelZivWelch (LZW)
algorithm that led to the famous Unix
compress/decompress programs (and the {.Z} file
extension), written by Spence Thomas at the University
of Utah in June 1984. It builds on prior work by Ziv
and Lempel \cite{Ziv:1977:UAS,Ziv:19778CIS} in
19771978.\par
Welch (the inventor) and Sperry Corporation (the
employer) applied for (on 20 June 1983), and received
(on 10 December 1985), a United States Patent (No.
4,558,302) on the algorithm (see
\pathhttp://patft.uspto.gov/netacgi/nphParser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=/netahtml/srchnum.htm&r=1&f=G&l=50&s1=4,558,302.WKU.&OS=PN/4,558,302&RS=PN/4,558,302),
and Unisys (which acquired Sperry in 1986) has since
regulated its use through licensing fees, notably from
Compuserv for its use in the GIF image format
compression.\par
The LZW decoding algorithm is widely held to be
unencumbered by patents.\par
About 1990, Adobe Systems licensed the LZW compression
algorithm from Unisys for use in the LZWEncode operator
in the Level 2 of the PostScript page description
language, so PostScriptproducing programs are required
to have a Unisys license in order to produce data for
that operator. Aladdin Software, the creators of
ghostscript, chose not to license the patent, and
instead, developed a completely different compression
algorithm that just happens to be decompressable with
the LZW decompression algorithm.\par
According to Salomon \cite[p.~216]{Salomon:2000:DCC},
``The patent expires on 10 December 2002, or 20 June
2003, depending on whether the GATT agreements
grandfather in existing patents or no. The first date
is 17 years from issuance of the patent (old U.S. law),
and the second is 20 years from the date of first
filing (a GATT requirement).''\par
In 1992, the GNU Project countered with gzip/gunzip
(and the {.gz} file extension), based on patentfree
algorithms, with better compression performance, and by
2000, those utilities had largely replaced
compress/decompress for Internet archives. gunzip will
uncompress a {.Z} file, but gzip will not create such a
file because of the patent.\par
In 1996, Julian R. Seward developed the bzip2/bunzip2
programs (and the .bz2 file extension), believed to be
patent free, based on the BurrowsWheeler
blocksorting text compression algorithm, and Huffman
coding, obtaining even better compression than gzip,
but at the expense of considerably longer running
times. The Unisys patent (United States Patent No.
4,558,302 (1985), Japanese Patent Numbers 2,123,602 and
2,610,084, and patents in Canada, France, Germany,
Italy and the United Kingdom) and license is discussed
at \path=http://www.unisys.com/about__unisys/lzw/= (URL
accurate on 16Jan2003).\par
In 1995, a collaborative group developed the Portable
Network Graphics (PNG) image file format in reaction to
the patent restrictions on the GIF format; see
\cite{Crocker:1995:PPN,Roelofs:1999:PDG}.",
}2 OR 00189162Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/computer1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTComputerThis is the paper with the LempelZivWelch (LZW) algorithm that led to the famous Unix compress/decompress programs (and the .Z file extension), written by Spence Thomas at the University of Utah in June 1984. It builds on prior work by Ziv and Lempel cite Ziv:1977:UAS,Ziv:19778CIS in 19771978.par Welch (the inventor) and Sperry Corporation (the employer) applied for (on 20 June 1983), and received (on 10 December 1985), a United States Patent (No. 4,558,302) on the algorithm (see path http://patft.uspto.gov/netacgi/nphParser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=/netahtml/srchnum.htm&r=1&f=G&l=50&s1=4,558,302.WKU.&OS=PN/4,558,302&RS=PN/4,558,302), and Unisys (which acquired Sperry in 1986) has since regulated its use through licensing fees, notably from Compuserv for its use in the GIF image format compression.par The LZW decoding algorithm is widely held to be unencumbered by patents.par About 1990, Adobe Systems licensed the LZW compression algorithm from Unisys for use in the LZWEncode operator in the Level 2 of the PostScript page description language, so PostScriptproducing programs are required to have a Unisys license in order to produce data for that operator. Aladdin Software, the creators of ghostscript, chose not to license the patent, and instead, developed a completely different compression algorithm that just happens to be decompressable with the LZW decompression algorithm.par According to Salomon cite [p.~216]Salomon:2000:DCC, ``The patent expires on 10 December 2002, or 20 June 2003, depending on whether the GATT agreements grandfather in existing patents or no. The first date is 17 years from issuance of the patent (old U.S. law), and the second is 20 years from the date of first filing (a GATT requirement).''par In 1992, the GNU Project countered with gzip/gunzip (and the .gz file extension), based on patentfree algorithms, with better compression performance, and by 2000, those utilities had largely replaced compress/decompress for Internet archives. gunzip will uncompress a .Z file, but gzip will not create such a file because of the patent.par In 1996, Julian R. Seward developed the bzip2/bunzip2 programs (and the .bz2 file extension), believed to be patent free, based on the BurrowsWheeler blocksorting text compression algorithm, and Huffman coding, obtaining even better compression than gzip, but at the expense of considerably longer running times. The Unisys patent (United States Patent No. 4,558,302 (1985), Japanese Patent Numbers 2,123,602 and 2,610,084, and patents in Canada, France, Germany, Italy and the United Kingdom) and license is discussed at path =http://www.unisys.com/about__unisys/lzw/= (URL accurate on 16Jan2003).par In 1995, a collaborative group developed the Portable Network Graphics (PNG) image file format in reaction to the patent restrictions on the GIF format; see cite Crocker:1995:PPN,Roelofs:1999:PDG.ackdshttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2Terry A. WelchA Technique for HighPerformance Data Compression
@Article{Welch:1984:THP,
author = "Terry A. Welch",
title = "A Technique for HighPerformance Data Compression",
journal = jCOMPUTER,
volume = "17",
number = "6",
pages = "819",
month = jun,
year = "1984",
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ISSN = "00189162 (print), 15580814 (electronic)",
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/computer1980.bib;
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acknowledgement = ackds # " and " # acknhfb,
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rawdata = "Welch, T. A. (1984) ``A Technique for HighPerformance
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remark = "This is the paper with the LempelZivWelch (LZW)
algorithm that led to the famous Unix
compress/decompress programs (and the {.Z} file
extension), written by Spence Thomas at the University
of Utah in June 1984. It builds on prior work by Ziv
and Lempel \cite{Ziv:1977:UAS,Ziv:19778CIS} in
19771978.\par
Welch (the inventor) and Sperry Corporation (the
employer) applied for (on 20 June 1983), and received
(on 10 December 1985), a United States Patent (No.
4,558,302) on the algorithm (see
\pathhttp://patft.uspto.gov/netacgi/nphParser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=/netahtml/srchnum.htm&r=1&f=G&l=50&s1=4,558,302.WKU.&OS=PN/4,558,302&RS=PN/4,558,302),
and Unisys (which acquired Sperry in 1986) has since
regulated its use through licensing fees, notably from
Compuserv for its use in the GIF image format
compression.\par
The LZW decoding algorithm is widely held to be
unencumbered by patents.\par
About 1990, Adobe Systems licensed the LZW compression
algorithm from Unisys for use in the LZWEncode operator
in the Level 2 of the PostScript page description
language, so PostScriptproducing programs are required
to have a Unisys license in order to produce data for
that operator. Aladdin Software, the creators of
ghostscript, chose not to license the patent, and
instead, developed a completely different compression
algorithm that just happens to be decompressable with
the LZW decompression algorithm.\par
According to Salomon \cite[p.~216]{Salomon:2000:DCC},
``The patent expires on 10 December 2002, or 20 June
2003, depending on whether the GATT agreements
grandfather in existing patents or no. The first date
is 17 years from issuance of the patent (old U.S. law),
and the second is 20 years from the date of first
filing (a GATT requirement).''\par
In 1992, the GNU Project countered with gzip/gunzip
(and the {.gz} file extension), based on patentfree
algorithms, with better compression performance, and by
2000, those utilities had largely replaced
compress/decompress for Internet archives. gunzip will
uncompress a {.Z} file, but gzip will not create such a
file because of the patent.\par
In 1996, Julian R. Seward developed the bzip2/bunzip2
programs (and the .bz2 file extension), believed to be
patent free, based on the BurrowsWheeler
blocksorting text compression algorithm, and Huffman
coding, obtaining even better compression than gzip,
but at the expense of considerably longer running
times. The Unisys patent (United States Patent No.
4,558,302 (1985), Japanese Patent Numbers 2,123,602 and
2,610,084, and patents in Canada, France, Germany,
Italy and the United Kingdom) and license is discussed
at \path=http://www.unisys.com/about__unisys/lzw/= (URL
accurate on 16Jan2003).\par
In 1995, a collaborative group developed the Portable
Network Graphics (PNG) image file format in reaction to
the patent restrictions on the GIF format; see
\cite{Crocker:1995:PPN,Roelofs:1999:PDG}.",
}ory of Codes",
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acknowledgement = ackds,
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oEU3+O+%E};O+bookdatacompression.bibBerstel:1985:TCJean Berstel and Dominique PerrinTheory of CodespubACADEMICpubACADEMIC:adr1985Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsJean Berstel and Dominique PerrinTheory of Codes
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author = "A. S. Lewis and G. Knowles",
title = "A ={
@InProceedings{Lewis:1991:KVC,
author = "A. S. Lewis and G. Knowles",
title = "A S'
@InProceedings{Lexa:2007:JOD,
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title = "J
@InProceedings{Li:1999:JIC,
author = "J. Li and R. M. Gray and R. Olshen",
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author = "A. H. Li and S. Kittitornkun and YuHen Hu and
%K
@InProceedings{Li:2002:ECP,
author = "Xin Li",
title = "Embedded coding of palettp
@InProceedings{Li:2002:LBR,
author = "Xin Li",
title = "Low bit rate image codingt5k
@InProceedings{Li:2002:LCI,
author = "Fei Li and J. Nieh",
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title = "A source coding approach tyaaCrTju6m
@Article{DiazGutierrez:2005:GIH,
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@Article{Duvanenko:1988:ICC,
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@Article{Ernvall:1984:ELM,
author = "J. Ernvall and O. Nevalainen",
title = "Estimating the length of minimal spanning trees in
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@Article{Fenwick:1995:DZL,
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@Article{Fetik:1996:MXG,
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title = "Multimedia {X}: Gener$T7
@Article{Fout:2012:APB,
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@Article{Franti:1994:CDI,
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Kaukoranta",
title = "Compression of digit fSTData compression (Telecommunication); Coding theory; Errorcorrecting codes (Information theory)acknhfbVito CappelliniData compression and error control techniques with applications
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@InProceedings{Choueka:1985:EVH,
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}s and Gray Codes",
journal = jINTJCOMPUTMATH,
volume = "18",
pages = "313",
year = "1985",
CODEN = "IJCMAT",
ISSN = "00207160",
ISSNL = "00207160",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
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acknowledgement = ackds,
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title = "A Note on {Peano} Polygons and Gray Codes",
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acknowledgement = ackds,
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#S# I[ 3/W!57E;?+!Ec/Wmarticledatacompression.bibCormack:1985:DCDGordon V. CormackData compression on a database systemjCACM281213361342dec121985CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Thu May 30 09:41:10 MDT 1996ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib; ftp://ftp.ira.uka.de/pub/bibliography/Database/Graefe.bib; http://www.acm.org/pubs/toc/; http://www.math.utah.edu/pub/tex/bib/cacm198̉!HU 3'![377E};g!_5articledatacompression.bibCole:1985:NPPA. J. ColeA Note on Peano Polygons and Gn on a database system",
journal = jCACM,
volume = "28",
number = "12",
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month = dec,
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bibdate = "Thu May 30 09:41:10 MDT 1996",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib;
ftp://ftp.ira.uka.de/pub/bibliography/Database/Graefe.bib;
http://www.acm.org/pubs/toc/;
http://www.math.utah.edu/pub/tex/bib/cacm1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://www.acm.org/pubs/toc/Abstracts/00010782/214963.html",
acknowledgement = acknhfb,
annote = "first partition into IMS based types, then Huffman.
Gives factor two space, adds 17pct time.",
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "design; IMS compression one (entire) record at a
time.; management; performance",
subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY, Data
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Systems, DATABASE MANAGEMENT, General.",
}0.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1996.05.30 09:41:10 MDThttp://www.acm.org/pubs/toc/Abstracts/00010782/214963.htmlCommunications of the ACMdesign; IMS compression one (entire) record at a time.; management; performancebf E.4: Data, CODING AND INFORMATION THEORY, Data compaction and compression. bf H.2.0: Information Systems, DATABASE MANAGEMENT, General.acknhfbfirst partition into IMS based types, then Huffman. Gives factor two space, adds 17pct time.http://portal.acm.org/browse_dl.cfm?idx=J79Gordon V. CormackData compression on a database system
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subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY, Data
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}sed Data Structure for Surface
Representation",
journal = jCGF,
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number = "3",
pages = "217228",
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year = "1985",
CODEN = "CGFODY",
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treatment = "P Practical",
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@Article{Knutsson:1999:AEE,
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@Article{Konstantinides:1992:MAI,
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title = "Compn; ray casting; sculptured surface; shaded image; smooth image; solid object; solids  Mathematical Models; surface patches; surface representation; surfaces  Mathematical Models; topological information; verticesI.3 Computing Methodologies, COMPUTER GRAPHICS, Miscellaneous I.3.5 Computing Methodologies, COMPUTER GRAPHICS, Computational Geometry and Object Modeling, Curve, surface, solid, and object representationsacknhfbUniv of Glasgow, Computing Science Dep, Glasgow, ScotlUniv of Glasgow, Computing Science Dep, Glasgow, ScotlDept. of Comput. Sci., Glasgow Univ., UKhttp://onlinelibrary.wiley.com/journal/10.1111/(ISSN)14678659/P PracticalMarion S. CottinghamA Compressed Data Structure for Surface Representation
@Article{Cottingham:1985:CDS,
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subject = "I.3 Computing Methodologies, COMPUTER GRAPHICS,
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rawdata1 = "Knuth, Donald E. (1985) ``Dynamic Huffman Coding,''
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} "Data compression using static {Huffman} codedecode
tables",
journal = jCACM,
volume = "28",
number = "6",
institution = "Cleveland St U",
pages = "612616",
month = jun,
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bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib;
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acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "algorithms; experimentation; image information;
measurement; performance; statistics",
subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY, Data
compaction and compression. {\bf D.3.m}: Software,
PROGRAMMING LANGUAGES, Miscellaneous.",
}:41:10 MDT 1996ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib; http://www.acm.org/pubs/toc/; http://www.math.utah.edu/pub/tex/bib/cacm1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1996.05.30 09:41:10 MDThttp://www.acm.org/pubs/toc/Abstracts/00010782/3815.htmlCommunications of the ACMalgorithms; experimentation; image information; measurement; performance; statisticsbf E.4: Data, CODING AND INFORMATION THEORY, Data compaction and compression. bf D.3.m: Software, PROGRAMMING LANGUAGES, Miscellaneous.acknhfbhttp://portal.acm.org/browse_dl.cfm?idx=J79David R. McIntyre and Michael A. PechuraData compression using static {Huffman} codedecode tables
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author = "David R. McIntyre and Michael A. Pechura",
title = "Data compression using static {Huffman} codedecode
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URL = "http://www.acm.org/pubs/toc/Abstracts/00010782/3815.html",
acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "algorithms; experimentation; image information;
measurement; performance; statistics",
subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY, Data
compaction and compression. {\bf D.3.m}: Software,
PROGRAMMING LANGUAGES, Miscellaneous.",
} "A. Apostolico and Z. Galil",
booktitle = "Combinatorial Algorithms on Words",
title = "Variations On a Theme by {Ziv} and {Lempel}",
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pp. 131140.",
}d M. N. WegmanCombinatorial Algorithms on WordsA. Apostolico and Z. GalilVariations On a Theme by {Ziv} and {Lempel}
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author = "V. S. Miller and M. N. Wegman",
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pp. 131140.",
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inproceedingsdatacompression.bibMiller:1985:VTZV. S. Miller and M. N. WegmanA. Apostolico and Z. GalilCombinatorial Algorithms on WordsVariations On a Theme by Ziv and LempelF12pubSVpubSV:adr1311401985Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTNATO ASI seriesackdsV. S. Miller anAudio",
publisher = pubSAMS,
address = pubSAMS:adr,
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acknowledgement = ackds,
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}
FVU 3/%C%E};%Cqbookdatacompression.bibPohlmann:1985:PDAKen PohlmannPrinciples of Digital AudiopubSAMSpubSAMS:adr1985Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsKen PohlmannPrinciples of Digital Audio
@Book{Pohlmann:1985:PDA,
author = "Ken Pohlmann",
title = "Principles of Digital Audio",
publisher = pubSAMS,
address = pubSAMS:adr,
pages = "??",
year = "1985",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Pohlmann, Ken (1985) {\it Principles of Digital
Audio}, Indianapolis, IN, Howard Sams \& Co.",
}antization of Images Based on a Composite
Source Model (Coding, Data Compression, Picture)",
type = "{Ph.D.} thesis",
school = "University of California, Santa Barbara",
address = "Santa Barbara, USA",
pages = "377",
year = "1985",
bibdate = "Fri Feb 1 08:42:55 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/303336232",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "8605950",
subject = "Electrical engineering",
}ression.bib2013.02.01 08:42:55 MSThttp://search.proquest.com/docview/303336232Electrical engineeringacknhfbBhaskar RamamurthiVector Quantization of Images Based on a Composite Source Model (Coding, Data Compression, Picture)
@PhdThesis{Ramamurthi:1985:VQI,
author = "Bhaskar Ramamurthi",
title = "Vector Quantization of Images Based on a Composite
Source Model (Coding, Data Compression, Picture)",
type = "{Ph.D.} thesis",
school = "University of California, Santa Barbara",
address = "Santa Barbara, USA",
pages = "377",
year = "1985",
bibdate = "Fri Feb 1 08:42:55 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/303336232",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "8605950",
subject = "Electrical engineering",
}
,K,YZ 3)#57=%;?[c#%articledatac$XV 3'K77Ea;w'UOarticledatacompression.bibRokicki:1985:PPFTomas RokickiPacked (tt PK) Font File FormatjTUGboat63115120nov11198508963207 OR 0896320708963207 OR 08963207Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/tugboat.bib2013.01.26 12:46:16 MSThttp://www.tug.org/TUGbo)WX 331S%[1C7;e91SCphdthesisdatacompression.bibRamamurthi:1985:VQIBhaskar RamamurthiVector Quantization of Images Based on a Composite Source Model (Coding, Data Compression, Picture)Ph.D. thesisUniversity of California, Santa BarbaraSanta Barbara, USA3771985Fri Feb 1 08:42:55 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacomp Font File Format",
journal = jTUGboat,
volume = "6",
number = "3",
pages = "115120",
month = nov,
year = "1985",
CODEN = "????",
ISSN = "08963207",
ISSNL = "08963207",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/tugboat.bib",
URL = "http://www.tug.org/TUGboat/Articles/tb063/tb13pk.pdf",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "TUGboat",
rawdata = "Rokicki, Tomas (1985) ``Packed (PK) Font File
Format,'' {\it TUGboat}, {\bf6}(3):115120. Available
at
http://www.tug.org/TUGboat/Articles/tb063/tb13pk.pdf.",
}at/Articles/tb063/tb13pk.pdfTUGboatackdsTomas RokickiPacked ({{\tt PK}}) Font File Format
@Article{Rokicki:1985:PPF,
author = "Tomas Rokicki",
title = "Packed ({{\tt PK}}) Font File Format",
journal = jTUGboat,
volume = "6",
number = "3",
pages = "115120",
month = nov,
year = "1985",
CODEN = "????",
ISSN = "08963207",
ISSNL = "08963207",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/tugboat.bib",
URL = "http://www.tug.org/TUGboat/Articles/tb063/tb13pk.pdf",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "TUGboat",
rawdata = "Rokicki, Tomas (1985) ``Packed (PK) Font File
Format,'' {\it TUGboat}, {\bf6}(3):115120. Available
at
http://www.tug.org/TUGboat/Articles/tb063/tb13pk.pdf.",
}dtree approximation and
compression",
journal = jCACM,
volume = "28",
number = "9",
institution = "U Md",
pages = "973993",
month = sep,
year = "1985",
CODEN = "CACMA2",
ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
bibdate = "Mon Jan 27 13:21:19 1997",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib;
ftp://ftp.ira.uka.de/pub/bibliography/Graphics/siggraph/84.bib;
http://www.acm.org/pubs/toc/;
http://www.math.utah.edu/pub/tex/bib/cacm1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://www.acm.org/pubs/toc/Abstracts/00010782/4290.html",
acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "algorithms; image approximation; theory",
subject = "{\bf E.1}: Data, DATA STRUCTURES, Trees. {\bf E.4}:
Data, CODING AND INFORMATION THEORY, Data compaction
and compression. {\bf I.2.10}: Computing Methodologies,
ARTIFICIAL INTELLIGENCE, Vision and Scene
Understanding, Representations, data structures, and
transforms. {\bf I.4.2}: Computing Methodologies, IMAGE
PROCESSING, Compression (Coding), Approximate methods.
{\bf I.4.2}: Computing Methodologies, IMAGE PROCESSING,
Compression (Coding), Exact coding.",
} ompression.bibSamet:1985:DSQHanan SametData structures for quadtree approximation and compressionjCACM289U Md973993sep91985CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Mon Jan 27 13:21:19 1997ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib; ftp://ftp.ira.uka.de/pub/bibliography/Graphics/siggraph/84.bib; http://www.acm.org/pubs/toc/; http://www.math.utah.edu/pub/tex/bib/cacm1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1997.01.27 13:21:19 ???http://www.acm.org/pubs/toc/Abstracts/00010782/4290.htmlCommunications of the ACMalgorithms; image approximation; theorybf E.1: Data, DATA STRUCTURES, Trees. bf E.4: Data, CODING AND INFORMATION THEORY, Data compaction and compression. bf I.2.10: Computing Methodologies, ARTIFICIAL INTELLIGENCE, Vision and Scene Understanding, Representations, data structures, and transforms. bf I.4.2: Computing Methodologies, IMAGE PROCESSING, Compression (Coding), Approximate m
ethods. bf I.4.2: Computing Methodologies, IMAGE PROCESSING, Compression (Coding), Exact coding.acknhfbhttp://portal.acm.org/browse_dl.cfm?idx=J79Hanan SametData structures for quadtree approximation and compression
@Article{Samet:1985:DSQ,
author = "Hanan Samet",
title = "Data structures for quadtree approximation and
compression",
journal = jCACM,
volume = "28",
number = "9",
institution = "U Md",
pages = "973993",
month = sep,
year = "1985",
CODEN = "CACMA2",
ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
bibdate = "Mon Jan 27 13:21:19 1997",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib;
ftp://ftp.ira.uka.de/pub/bibliography/Graphics/siggraph/84.bib;
http://www.acm.org/pubs/toc/;
http://www.math.utah.edu/pub/tex/bib/cacm1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://www.acm.org/pubs/toc/Abstracts/00010782/4290.html",
acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "algorithms; image approximation; theory",
subject = "{\bf E.1}: Data, DATA STRUCTURES, Trees. {\bf E.4}:
Data, CODING AND INFORMATION THEORY, Data compaction
and compression. {\bf I.2.10}: Computing Methodologies,
ARTIFICIAL INTELLIGENCE, Vision and Scene
Understanding, Representations, data structures, and
transforms. {\bf I.4.2}: Computing Methodologies, IMAGE
PROCESSING, Compression (Coding), Approximate methods.
{\bf I.4.2}: Computing Methodologies, IMAGE PROCESSING,
Compression (Coding), Exact coding.",
}fferent Methods Based on the {KarhunenLoeve}
Expansion and Used in Image Analysis",
journal = jCVGIP,
volume = "29",
number = "2",
pages = "259269",
month = feb,
year = "1985",
CODEN = "CVGPDB",
ISSN = "0734189X",
ISSNL = "0734189X",
bibdate = "Thu Feb 6 18:44:11 MST 1997",
bibsource = "Compendex database; Graphics/rosenfeld/1985.bib;
http://www.math.utah.edu/pub/tex/bib/cvgip.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
affiliation = "U London",
affiliationaddress = "Queen Elizabeth Coll, Dep of Physics, London,
Engl",
classification = "716; 718; 723",
fjournal = "Computer Vision, Graphics, and Image Processing",
journalURL = "http://www.sciencedirect.com/science/journal/0734189X",
journalabr = "Comput Vision Graphics Image Process",
keywords = "data compression; eigendata problem; image analysis;
image processing; image transformation, space
frequency, digital; KarhunenLoeve expansion; pattern
recognition; signal processing",
}9XThu Feb 6 18:44:11 MST 1997Compendex database; Graphics/rosenfeld/1985.bib; http://www.math.utah.edu/pub/tex/bib/cvgip.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1997.02.06 18:44:11 MSTComputer Vision, Graphics, and Image Processingdata compression; eigendata problem; image analysis; image processing; image transformation, space frequency, digital; KarhunenLoeve expansion; pattern recognition; signal processingacknhfbU LondonQueen Elizabeth Coll, Dep of Physics, London, Englhttp://www.sciencedirect.com/science/journal/0734189XComput Vision Graphics Image ProcessM. H. Savoji and R. E. BurgeOn Different Methods Based on the {KarhunenLoeve} Expansion and Used in Image Analysis
@Article{Savoji:1985:DMB,
author = "M. H. Savoji and R. E. Burge",
title = "On Different Methods Based on the {KarhunenLoeve}
Expansion and Used in Image Analysis",
journal = jCVGIP,
volume = "29",
number = "2",
pages = "259269",
month = feb,
year = "1985",
CODEN = "CVGPDB",
ISSN = "0734189X",
ISSNL = "0734189X",
bibdate = "Thu Feb 6 18:44:11 MST 1997",
bibsource = "Compendex database; Graphics/rosenfeld/1985.bib;
http://www.math.utah.edu/pub/tex/bib/cvgip.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
affiliation = "U London",
affiliationaddress = "Queen Elizabeth Coll, Dep of Physics, London,
Engl",
classification = "716; 718; 723",
fjournal = "Computer Vision, Graphics, and Image Processing",
journalURL = "http://www.sciencedirect.com/science/journal/0734189X",
journalabr = "Comput Vision Graphics Image Process",
keywords = "data compression; eigendata problem; image analysis;
image processing; image transformation, space
frequency, digital; KarhunenLoeve expansion; pattern
recognition; signal processing",
}
22i[_3'})57E;[)wwEQ'G)1articledatacompression.bibTodd:1985:PRCStephen Todd and Glen G. Langdon, Jr. and Jorma RissanenParameter Reduction and Context Selection for Compression of GrayScale ImagesjIBMJRD292188193mar31985IBMJAE00188646 (print), 21518556 (electronic) OR 00188646 (print), 21518556 (electronic)00188646 OR 00188646Tue Mar 25 14:26:59 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib1997.03.25 14:26:59 MSTIn the compression of multilevel (color or gray) image d5ZY3+E777C?;k{qwUE;{articledatacompression.bibSavoji:1985:DMBM. H. Savoji and R. E. BurgeOn Different Methods Based on the KarhunenLoeve Expansion and Used in Image AnalysisjCVGIP292259269feb21985CVGPDB0734189X OR 0734189X0734189X OR 073418
nd Context Selection for
Compression of GrayScale Images",
journal = jIBMJRD,
volume = "29",
number = "2",
pages = "188193",
month = mar,
year = "1985",
CODEN = "IBMJAE",
ISSN = "00188646 (print), 21518556 (electronic)",
ISSNL = "00188646",
bibdate = "Tue Mar 25 14:26:59 MST 1997",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib",
abstract = "In the compression of multilevel (color or gray) image
data, effective compression is obtained economically by
judicial selection of the predictor and the
conditioning states or contexts which determine what
probability distribution to use for the prediction
error. The authors provide a costeffective approach to
the following two problems: (1) to reduce the number of
coding parameters to describe a distribution when
several contexts are involved, and (2) to choose
contexts for which variations in prediction error
distributions are expected. They solve Problem 1
(distribution description) by a partition of the range
of values of the outcomes into equivalence classes,
called buckets. The result is a special decomposition
of the error range. Costeffectiveness is achieved by
using the many contexts only to predict the bucket
(equivalence class) probabilities. They solve Problem 2
(economical contexts) by using the buckets of the
surrounding pixels as components of the conditioning
class. The bucket values have the desirable properties
needed for the error distributions.",
acknowledgement = acknhfb,
affiliation = "IBM, United Kingdom Scientific Cent, Winchester,
Engl",
affiliationaddress = "IBM, United Kingdom Scientific Cent, Winchester,
Engl",
classcodes = "B6140C (Optical information, image and video signal
processing); C1250 (Pattern recognition)",
classification = "723; 741",
corpsource = "IBM UK Sci. Centre, Winchester, UK",
fjournal = "IBM Journal of Research and Development",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520",
journalabr = "IBM J Res Dev",
keywords = "Analysis; buckets; classes; coding; compression;
conditioning class; context selection; data
compression; encoding; equivalence; error
distributions; grayscale images; image processing;
parameter reduction; parameters; picture processing;
prediction error distributions",
treatment = "T Theoretical or Mathematical",
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Transaction management / Hector GarciaMolina \\
Fundamental database issues / Barry E. Jacobs \\
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@Article{Anonymous:1992:FDC,
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Tarjan and Victor K. Wei",
title = "A Locally Adaptive Data Compression Scheme",
journal = jCACM,
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib;
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abstract = "A data compression scheme that exploits locality of
reference, such as occurs when words are 1used
frequently over short intervals and then fall into long
periods of disuse, is described. The scheme is based on
a simple heuristic for selforganizing sequential
search and on variablelength encodings of integers. We
prove that it never performs much worse than Huffman
coding and can perform substantially better;
experiments on real files show that its performance is
usually quite close to that of Huffman coding. Our
scheme has many implementation advantages: it is
simple, allows fast encoding and decoding, and requires
only one pass over the data to be compressed (static
Huffman coding takes two passes).",
acknowledgement = ackds # " and " # acknhfb,
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}3/toc/Abstracts/00010782/5688.htmlA data compression scheme that exploits locality of reference, such as occurs when words are used frequently over short intervals and then fall into long periods of disuse, is described. The scheme is based on a simple heuristic for selforganizing sequential search and on variablelength encodings of integers. We prove that it never performs much worse than Huffman coding and can perform substantially better; experiments on real files show that its performance is usually quite close to that of Huffman coding. Our scheme has many implementation advantages: it is simple, allows fast encoding and decoding, and requires only one pass over the data to be compressed (static Huffman coding takes two passes).Communications of the ACMalgorithms; experimentation; image information; measurement; performance; statistics; theorybf E.4: Data, CODING AND INFORMATION THEORY, Data compaction and compression. bf E.1: Data, DATA STRUCTURES, Lists.ackdsExploits locality of reference when w4ords are used frequently over short intervals; is based on a selforganizing search and on variablelength encodings of integers. Its performance is close to that of Huffman coding. Requires only one pass over the data.http://portal.acm.org/browse_dl.cfm?idx=J79A data compression scheme that exploits locality of reference, such as occurs when words are used frequently over short intervals and then fall into long periods of disuse, is described. The scheme is based on a simple heuristic for selforganizing sequential search and on variablelength encodings of integers. We prove that it never performs much worse than Huffman coding and can perform substantially better; experiments on real files show that its performance is usually quite close to that of Huffman coding. Our scheme has many implementation advantages: it is simple, allows fast encoding and decoding, and requires only one pass over the data to be compressed (static Huffman coding takes two passes).Jon Louis Bentley and Daniel D. Sleator and Rob5ert E. Tarjan and Victor K. WeiA Locally Adaptive Data Compression Scheme
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URL = "http://www.acm.o6rg/pubs/toc/Abstracts/00010782/5688.html",
abstract = "A data compression scheme that exploits locality of
reference, such as occurs when words are used
frequently over short intervals and then fall into long
periods of disuse, is described. The scheme is based on
a simple heuristic for selforganizing sequential
search and on variablelength encodings of integers. We
prove that it never performs much worse than Huffman
coding and can perform substantially better;
experiments on real files show that its performance is
usually quite close to that of Huffman coding. Our
scheme has many implementation advantages: it is
simple, allows fast encoding and decoding, and requires
only one pass over the data to be compressed (static
Huffman coding takes two passes).",
acknowledgement = ackds # " and " # acknhfb,
annote = "Exploits locality of reference when words are used
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review = "ACM CR 86100918",
subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY, Data
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http://www.math.utah.edu/pub/tex/bib/compj1980.bib;
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==CyW31Ia=57=W;5)wIaWarticledatacompression.bibEinarsson:1987:DCDGoran Einarsson and Goran RothData compression of digital color picturesjCOMPUTERSANDGRAPHICS1144094261987COGRD200978493 (print), 18737684 (electronic) OR 00978493 (print), 18737684 (electronic)00978493 OR 00978493Mon Feb 13 17:22:01 2012Graphics/imager/imager.87.bib; Graphics/siggraph/87.bib; http://www.math.utah.edu/pub/tex/bib/compgraph.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2012.02.13 17:22:01 ???Computers & GrapXxZ3Sk_57E;{5gUUssOGSsG
articledatacompression.bibCormack:1987:DCUG. V. Cormack and R. N. S. HorspoolData Compression Using Dynamic Markov ModellingjCOMPJ306541550dec121987CMPJA6http://dx.doi.org/10.1093/comjnl/30.6.54100104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (Data compression of digital color pictures",
journal = jCOMPUTERSANDGRAPHICS,
volume = "11",
number = "4",
pages = "409426",
year = "1987",
CODEN = "COGRD2",
ISSN = "00978493 (print), 18737684 (electronic)",
ISSNL = "00978493",
bibdate = "Mon Feb 13 17:22:01 2012",
bibsource = "Graphics/imager/imager.87.bib;
Graphics/siggraph/87.bib;
http://www.math.utah.edu/pub/tex/bib/compgraph.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
fjournal = "Computers \& Graphics",
journalURL = "http://www.sciencedirect.com/science/journal/00978493",
keywords = "color encoding",
}hicscolor encodingacknhfbhttp://www.sciencedirect.com/science/journal/00978493Goran Einarsson and Goran RothData compression of digital color pictures
@Article{Einarsson:1987:DCD,
author = "Goran Einarsson and Goran Roth",
title = "Data compression of digital color pictures",
journal = jCOMPUTERSANDGRAPHICS,
volume = "11",
number = "4",
pages = "409426",
year = "1987",
CODEN = "COGRD2",
ISSN = "00978493 (print), 18737684 (electronic)",
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bibdate = "Mon Feb 13 17:22:01 2012",
bibsource = "Graphics/imager/imager.87.bib;
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acknowledgement = acknhfb,
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} and VariableLength Coding of
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journal = jIEEETRANSCOMM,
volume = "COM35",
number = "6",
pages = "671677",
month = jun,
year = "1987",
CODEN = "IECMBT",
ISSN = "00906778 (print), 15580857 (electronic)",
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
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acknowledgement = ackds,
fjournal = "IEEE Transactions on Communications",
rawdata = "Gharavi, H. (1987) ``Conditional RunLength and
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@Article{Gharavi:1987:CRL,
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title = "Conditional RunLength and VariableLength Coding of
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volume = "COM35",
number = "6",
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month = jun,
year = "1987",
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acknowledgement = ackds,
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'{X3'e3'CQ3EI;Se3Abookdatacompression.bibHeld:1987:DCTGilbert Held and Thomas (Thomas R.) MarshallData compression: techniques and applications: hardware and software considerationspubWILEYpubWILEY:adrSecondxii + 20619870471912808 OR 04719128089780471912804 OR 9780471912804QA76.9.D33 H44 1987Mon Jan 28 15:18:45 MST 2MzX 3!/57E};S!articledatacompression.bibGharavi:1987:CRLH. GharaviConditional RunLength and VariableLength Coding of Digital PicturesjIEEETRANSCOMMCOM356671677jun61987IECMBT00906778 (print), 15580857 (electronic) OR 00906778 (print), 15580857 (electronic)00906778 OR 00906778Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 "Data compression: techniques and applications:
hardware and software considerations",
publisher = pubWILEY,
address = pubWILEY:adr,
edition = "Second",
pages = "xii + 206",
year = "1987",
ISBN = "0471912808",
ISBN13 = "9780471912804",
LCCN = "QA76.9.D33 H44 1987",
bibdate = "Mon Jan 28 15:18:45 MST 2013",
bibsource = "cliodb.cc.columbia.edu:7090/Voyager;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
subject = "Data compression (Computer science)",
}013cliodb.cc.columbia.edu:7090/Voyager; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.28 15:18:45 MSTData compression (Computer science)acknhfbGilbert Held and Thomas (Thomas R.) MarshallData compression: techniques and applications: hardware and software considerations
@Book{Held:1987:DCT,
author = "Gilbert Held and Thomas (Thomas R.) Marshall",
title = "Data compression: techniques and applications:
hardware and software considerations",
publisher = pubWILEY,
address = pubWILEY:adr,
edition = "Second",
pages = "xii + 206",
year = "1987",
ISBN = "0471912808",
ISBN13 = "9780471912804",
LCCN = "QA76.9.D33 H44 1987",
bibdate = "Mon Jan 28 15:18:45 MST 2013",
bibsource = "cliodb.cc.columbia.edu:7090/Voyager;
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acknowledgement = acknhfb,
subject = "Data compression (Computer science)",
} "Data Compression",
journal = jCOMPSURV,
volume = "19",
number = "3",
pages = "261296",
month = sep,
year = "1987",
CODEN = "CMSVAN",
DOI = "http://doi.acm.org/10.1145/45072.45074",
ISSN = "03600300 (print), 15577341 (electronic)",
ISSNL = "03600300",
bibdate = "Sat Jan 26 12:46:09 MST 2013",
bibsource = "ACM Computing Archive;
ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib;
ftp://ftp.ira.uka.de/pub/bibliography/Database/Graefe.bib;
http://www.acm.org/pubs/contents/journals/surveys/;
http://www.math.utah.edu/pub/tex/bib/compsurv.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "Reprinted in Japanese BIT Special issue in Computer
Science (1989), 16195.",
URL = "http://www.acm.org/pubs/toc/Abstracts/03600300/45074.html;
http://www.ics.uci.edu/~dan/pubs/DataCompression.html",
abstract = "This paper surveys a variety of data compression
methods spanning almost 40 years of research, from the
work of Shannon, Fano, and Huffman in the late 1940s to
a technique developed in 1986. The aim of data
compression is to reduce redundancy in stored or
communicated data, thus increasing effective data
density. Data compression has important application in
the areas of file storage and distributed systems.
Concepts from information theory as they relate to the
goals and evaluation of data compression methods are
discussed briefly. A framework for evaluation and
comparison of methods is constructed and applied to the
algorithms presented. Comparisons of both theoretical
and empirical natures are reported, and possibilities
for future research are suggested.",
acknowledgement = ackds # " and " # acknhfb,
annote = "Reviews techniques that are reversible.",
fjournal = "ACM Computing Surveys",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J204",
keywords = "adaptive coding; algorithms; data compression; Huffman
coding; text compression; theory",
rawdata = "Lelewer, D. A., and D. S. Hirschberg (1987) ``Data
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261297. Reprinted in Japanese BIT Special issue in
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http://www.ics.uci.edu/~dan/pubs/DataCompression.html.",
review = "ACM CR 89020069",
subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY, Data
compaction and compression. {\bf H.3.2}: Information
Systems, INFORMATION STORAGE AND RETRIEVAL, Information
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&&rL&N
@Article{Bjorklund:2014:CFS,
author = "Henrik Bj{\"o}rklund and Johanna Bj{\"o}rklund and
&eK
@Article{Bille:2009:IAS,
author = "Philip Bille and Rolf Fagerberg and Inge Li G{\o}rtz",
khQ
@Article{Blinn:1993:WDD,
author = "J. F. Blinn",
title = "{What}'s the Deal with the {҅7o
@Article{Bocharova:1994:TCL,
author = "I. E. Bocharova and V. D. Kolesnik and V. {Yu
];
@Article{Bodlaender:1995:CAT,
author = "Hans L. Bodlaender and Teofilo F. Gonzalez and Ton
vm
@Article{Boldi:2005:CWW,
author = "Paolo Boldi and Sebastiano Vigna",
title = "Coԅ5k
@Article{Bonneau:1995:UCO,
author = "Robert Bonneau",
title = "Using the centroid
\9
@Article{Bonny:2010:HBC,
author = "Talal Bonny and J{\"o}rg Henkel",
title = "{Hu!ʇ/_
@Article{Bonyadi:2011:NHQ,
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title = "A multipurpose {VLSI} chip for adaptive data
compression of bilevel images",
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pages = "775795 (or 775794??)",
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compression systems. The specific version of the
adapter\slash coder used is the `QCoder'. The hardware
implementation is in a single HCMOS chip, to maximize
speed and minimize cost. The primary purpose of the
chip is to provide superior data compression
performance for bilevel image data by using conditional
binary source models together with adaptive arithmetic
coding. The coding scheme implemented is called the
Adaptive Bilevel Image Compression (ABIC) algorithm. On
business documents, it outperforms such nonadaptive
algorithms as the CCITT Group 4 (T.6) Standard and
comes into its own when adapting to documents scanned
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different data such as digital halftones.",
acknowledgement = acknhfb,
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@Article{Arps:1988:MPV,
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bibdate = "Tue Mar 25 14:26:59 MST 1997",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib",
abstract = "A VLSI chip for data compression has been implemented
based on a generalpurpose adaptive binary arithmetic
coding (ABAC) architecture. The architecture permits
the reuse of adapter and arithmetic coder logic in a
universal way, which together with application
specific model logic can create a variety of powerful
compression systems. The specific version of the
adapter\slash coder used is the `QCoder'. The hardware
implementation is in a single HCMOS chip, to maximize
speed and minimize cost. The primary purpose of the
chip is to provide superior data compression
performance for bilevel image data by using conditional
binary source models together with adaptive arithmetic
coding. The coding scheme implemented is called the
Adaptive Bilevel Image Compression (ABIC) algorithm. On
business documents, it outperforms such nonadaptive
algorithms as the CCITT Group 4 (T.6) Standard and
comes into its own when adapting to documents scanned
at different resolutions or which include significantly
different data such as digital halftones.",
acknowledgement = acknhfb,
affiliation = "IBM Res. Div., Almaden Res. Center",
affiliationaddress = "San Jose, CA, USA",
classcodes = "B6120B (Codes); B6110 (Information theory); B6140C
(Optical information and image processing); C5230
(Digital arithmetic methods); C1260 (Information
theory); C4220 (Automata theory)C1250 (Pattern
recognition)",
classification = "713; 714; 721; 723; 741; 921; B6110 (Information
theory); B6120B (Codes); B6140C (Optical information
and image processing); C1250 (Pattern recognition);
C1260 (Information theory); C4220 (Automata theory);
C5230 (Digital arithmetic methods)",
corpsource = "IBM Res. Div., Almaden Res. Center, San Jose, CA,
USA",
fjournal = "IBM Journal of Research and Development",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520",
journalabr = "IBM J Res Dev",
keywords = "Adapter; adapter; Adaptive arithmetic coding; adaptive
arithmetic coding; Adaptive binary arithmetic coding;
adaptive binary arithmetic coding; Adaptive Binary
Arithmetic Coding (ABAC); Adaptive data compression;
Adaptive Data Compression; adaptive data compression;
Arithmetic coder logic; arithmetic coder logic;
Arithmetic Coder Logic; Bilevel Images; bilevel images;
Bilevel images; binary source; Binary source models;
Control Systems, Adaptive; Design; digital arithmetic;
encoding; finite automata; hardware coding; Hardware
coding; HCMOS chip; Image Processing; information;
Information TheoryData Compression; Integrated
Circuits, VLSI; models; picture processing;
probability; QCoder; Qcoder; theory; VLSI; VLSI chip;
VLSI Chip",
thesaurus = "Digital arithmetic; Encoding; Finite automata;
Information theory; Picture processing; Probability;
VLSI",
treatment = "A Application; P Practical; T Theoretical or
Mathematical",
xxlibnote = "Issue missing from UofUtah Marriott Library",
}
>a3'U=57E;/[WQ//w']7U#garticledatacompression.bibArps:1988:MPVRonald B. Arps and Thomas K. Truong and David J. Lu and Richard C. Pasco and Theodore David FriedmanA multipurpose VLSI chip for adaptive data compression of bilevel imagesjIBMJRD326775795 (or 775794??)nov111988IBMJAE00188646 (print), 21518556 (electronic) OR 00188646 (print), 21518556 (electronic)00188646 OR 00188646Tue Mar 25 14:26:59 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bompress Images",
journal = jBYTE,
volume = "13",
number = "??",
pages = "215222",
month = jan,
year = "1988",
CODEN = "BYTEDJ",
ISSN = "03605280 (print), 10827838 (electronic)",
ISSNL = "03605280",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "/usr/local/src/bib/bibliography/Graphics/imager/imager.88.bib;
http://www.math.utah.edu/pub/bibnet/authors/m/mandelbrotbenoit.bib;
http://www.math.utah.edu/pub/bibnet/subjects/fractalimagecomp.bib;
http://www.math.utah.edu/pub/tex/bib/byte1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "BYTE Magazine",
rawdata = "Barnsley, M. F., and Sloan, A. D. (1988) ``A Better
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acknowledgement = ackds # " and " # acknhfb,
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ssW3/WK57Eu;'WKuarticledatacompression.bibBarnsley:1988:BWCMichael F. Barnsley and Alan D. SloanA Better Way to Compress ImagesjBYTE13215222jan11988BYTEDJ03605280 (print), 10827838 (electronic) OR 03605280 (print), 10827838 (electronic)03605280 OR 03605280Sat Jan 26 12:46:16 MST 2013/usr/local/src/bib/bibliography/Graphics/imager/imager.88.bib; http://www.math.utah.edu/pub/bibnet/authors/m/mandelbrotbenoit.bib; http://www.math.utah.edu/pub/bibnet/subjects/fractalimagecomp.bib; http://www.math.utah.edu/pub/tex/bib/byte1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTBYTE MagazineackdsMichael F. Barnsley and Alan D. SloanA Better Way to Compress Images
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11W'31sk'E};U #skinproceedingsdatacompression.bibBassiouni:1988:SDCM. A. Bassiouni and N. Ranganathan and A. MukherjeeA scheme for data compression in supercomputersIEEE:1988:PSN12722781988Thu Apr 16 07:55:03 MDT 1998http://www.math.utah.edu/pub/tex/bib/datacompression.bib1998.04.16 07:55:03 MDTcommunication bandwidth; communication controllers; data compression; encoding; enhanced arithmetic coding scheme; parallel processing; supercomputers; VLSI designsacknhfbDept. of Comput. Sci., Central Florida Univ., Orlando, FL, USAP PracticalM. A. Bassiouni and N. Ranganath4V 333%CQ1Ei;33!bookdatacompression.bibBarnsley:1988:FEMichael F. BarnsleyFractals EverywherepubACADEMICpubACADEMIC:adrxii + 39419880120790629 OR 01207906299780120790623 OR 9780120790623QA614.86 .B37 1988Sat Jan 26 12:46:16 MST 201herjee",
title = "A scheme for data compression in supercomputers",
crossref = "IEEE:1988:PSN",
volume = "1",
pages = "272278",
year = "1988",
bibdate = "Thu Apr 16 07:55:03 MDT 1998",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
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bibdate = "Thu Apr 16 07:55:03 MDT 1998",
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}Bases of Compactly Supported Wavelets",
journal = jCOMMPUREAPPLMATH,
volume = "41",
pages = "909996",
year = "1988",
CODEN = "CPAMAT, CPMAMV",
ISSN = "00103640 (print), 10970312 (electronic)",
ISSNL = "00103640",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
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rawdata = "Daubechies, Ingrid (1988) ``Orthonormal Bases of
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