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
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