DocumentCode
671124
Title
High precision probability estimation for CABAC
Author
Alshin, Alexander ; Alshina, Elena ; JeongHoon Park
Author_Institution
DMC Res. Center, Samsung Electron., Suwon, South Korea
fYear
2013
fDate
17-20 Nov. 2013
Firstpage
1
Lastpage
6
Abstract
Entropy coding is the main important part of all advanced video compression schemes. Context-adaptive binary arithmetic coding (CABAC) is entropy coding used in H.264/MPEG-4 AVC and H.265/HEVC standards. Probability estimation is the key factor of CABAC performance efficiency. In this paper high accuracy probability estimation for CABAC is presented. This technique is based on multiple estimations using different models. Proposed method was efficiently realized in integer arithmetic. High precision probability estimation for CABAC provides up-to 1,4% BD-rate gain.
Keywords
adaptive codes; arithmetic codes; binary codes; data compression; entropy codes; probability; video coding; CABAC; H.264 MPEG4 AVC; H.265 HEVC standards; advanced video compression schemes; context adaptive binary arithmetic coding; entropy coding; high precision probability estimation; integer arithmetic; multiple estimations; Abstracts; Accuracy; Ear; Indexes; Entropy coding; probability estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Communications and Image Processing (VCIP), 2013
Conference_Location
Kuching
Print_ISBN
978-1-4799-0288-0
Type
conf
DOI
10.1109/VCIP.2013.6706454
Filename
6706454
Link To Document