DocumentCode :
2830713
Title :
Probability interval partitioning entropy coding using systematic variable-to-variable length codes
Author :
Kirchhoffer, Heiner ; Marpe, Detlev ; Bartnik, Christian ; Henkel, Anastasia ; Siekmann, Mischa ; Stegemann, Jan ; Schwarz, Heiko ; Wiegand, Thomas
Author_Institution :
Image Process. Dept., Fraunhofer Inst. for Telecommun., Berlin, Germany
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
333
Lastpage :
336
Abstract :
The recently emerging probability interval partitioning entropy (PIPE) coding scheme offers high coding efficiency at a comparably low complexity level. In this paper, a new set of systematic variable-to-variable length (v2v) codes is proposed for use within the PIPE coding concept that allows the complexity requirements to be reduced even further. The proposed systematic v2v codes can be efficiently implemented by using simple counters instead of memory consuming tables. At the same time, the average number of operations per decoded binary symbol can be reduced by more than a factor of 2 relative to a fast multiplication-free binary arithmetic decoder. In terms of coding efficiency, experimental results show that in a typical video coding environment the average Bjontegaard delta (BD) rate increase is typically less than 0.5% when compared to the use of nearly optimal binary arithmetic codes.
Keywords :
arithmetic codes; binary codes; entropy; video coding; PIPE coding; binary arithmetic decoder; probability interval partitioning entropy coding; systematic v2v codes; systematic variable-to-variable length codes; video coding; Complexity theory; Decoding; Delay; Entropy coding; Image coding; Systematics; Entropy coding; PIPE coding; v2v codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6116387
Filename :
6116387
Link To Document :
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