Title :
High precision probability estimation for CABAC
Author :
Alshin, Alexander ; Alshina, Elena ; JeongHoon Park
Author_Institution :
DMC Res. Center, Samsung Electron., Suwon, South Korea
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;
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2013
Conference_Location :
Kuching
Print_ISBN :
978-1-4799-0288-0
DOI :
10.1109/VCIP.2013.6706454