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High Compression Rate and Ratio Using Predefined Huffman Dictionaries

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Mar 2013Publisher:IEEEJournal:2013 Data Compression Conference
Authors: Amit Golander; Shai Tahar; Lior Glass; Giora Biran; Sagi Manole;

doi: 10.1109/dcc.2013.119

High Compression Rate and Ratio Using Predefined Huffman Dictionaries

Abstract

Current Huffman coding modes are optimal for a single metric: compression ratio (quality) or rate (performance). We recognize that real life data can usually be classified to families of data types and thus the Huffman dictionary can be reused instead of recalculated. In this paper, we show how to balance the trade-off between compression ratio and rate, without modifying existing standards and legacy decompression implementations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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