Title :
High Compression Rate and Ratio Using Predefined Huffman Dictionaries
Author :
Golander, A. ; Tahar, Sofiene ; Glass, L. ; Biran, G. ; Manole, S.
Author_Institution :
Tonian, Netanya, Israel
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.
Keywords :
Huffman codes; data compression; dictionaries; Huffman coding modes; data types; high-compression rate; high-compression ratio; legacy decompression implementation; predefined Huffman dictionaries; Data compression; Dictionaries; Dynamics; Force; XML;
Conference_Titel :
Data Compression Conference (DCC), 2013
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-4673-6037-1
DOI :
10.1109/DCC.2013.119
