An On-line Variable Length Binary Encoding

We present a methodology of an on-line variable-length binary encoding of a set of integers. The basic principle of this methodology is to maintain the prefix property amongst the codes assigned on-line to a set of integers growing dynamically. The prefix property enables unique decoding of a string...

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Main Author: Tinku Acharya Joseph
Other Authors: The Pennsylvania State University CiteSeerX Archives
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Language:English
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.7965
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.30.7965 2023-05-15T18:32:40+02:00 An On-line Variable Length Binary Encoding Tinku Acharya Joseph The Pennsylvania State University CiteSeerX Archives application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.7965 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.7965 Metadata may be used without restrictions as long as the oai identifier remains attached to it. ftp://ftp.cs.umd.edu/pub/papers/papers/ncstrl.umcp/CS-TR-3442/CS-TR-3442.ps.Z text ftciteseerx 2016-01-07T22:01:44Z We present a methodology of an on-line variable-length binary encoding of a set of integers. The basic principle of this methodology is to maintain the prefix property amongst the codes assigned on-line to a set of integers growing dynamically. The prefix property enables unique decoding of a string of elements from this set. To show the utility of this on-line variable length binary encoding, we apply this methodology to encode the LZW codes. Application of this encoding scheme significantly improves the compression achieved by the standard LZW scheme. This encoding can be applied in other compression schemes to encode the pointers using variable-length binary codes. 1 Introduction The basic idea behind any lossless data compression technique [1] is to reduce the redundancy in data representation. The two general categories of text compression techniques are statistical coding and dictionary coding. The statistical coding is based on the statistical probability of occurrence of the c. Text The Pointers Unknown
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description We present a methodology of an on-line variable-length binary encoding of a set of integers. The basic principle of this methodology is to maintain the prefix property amongst the codes assigned on-line to a set of integers growing dynamically. The prefix property enables unique decoding of a string of elements from this set. To show the utility of this on-line variable length binary encoding, we apply this methodology to encode the LZW codes. Application of this encoding scheme significantly improves the compression achieved by the standard LZW scheme. This encoding can be applied in other compression schemes to encode the pointers using variable-length binary codes. 1 Introduction The basic idea behind any lossless data compression technique [1] is to reduce the redundancy in data representation. The two general categories of text compression techniques are statistical coding and dictionary coding. The statistical coding is based on the statistical probability of occurrence of the c.
author2 The Pennsylvania State University CiteSeerX Archives
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author Tinku Acharya Joseph
spellingShingle Tinku Acharya Joseph
An On-line Variable Length Binary Encoding
author_facet Tinku Acharya Joseph
author_sort Tinku Acharya Joseph
title An On-line Variable Length Binary Encoding
title_short An On-line Variable Length Binary Encoding
title_full An On-line Variable Length Binary Encoding
title_fullStr An On-line Variable Length Binary Encoding
title_full_unstemmed An On-line Variable Length Binary Encoding
title_sort on-line variable length binary encoding
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.7965
genre The Pointers
genre_facet The Pointers
op_source ftp://ftp.cs.umd.edu/pub/papers/papers/ncstrl.umcp/CS-TR-3442/CS-TR-3442.ps.Z
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