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Improved rate-distortion optimized video coding using non-integer bit estimation and multiple Lambda search

Improved rate-distortion optimized video coding using non-integer bit estimation and multiple Lambda search

作     者:Sio Kei IM Mohammad Mahdi GHANDI 

作者机构:MPI-QMUL Information Systems Research Centre Macao Polytechnic Institute Macao China Department of Electronic Systems Engineering University of Essex Colchestey CO4 3SQ UK 

出 版 物:《Frontiers of Computer Science》 (中国计算机科学前沿(英文版))

年 卷 期:2016年第10卷第1期

页      面:157-166页

核心收录:

学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 081001[工学-通信与信息系统] 0701[理学-数学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

主  题:rate distortion optimization Lambda adjust-ment non-integer bit estimation H.264/AVC H265/HEVCvideo coding 

摘      要:Many modern video encoders use the Lagrangian rate-distortion optimization (RDO) algorithm for mode deci- sions during the compression procedure. For each encoding stage, this approach involves minimizing a cost, which is a function of rate, distortion and a multiplier called Lambda. This paper proposes to improve the RDO process by applying two modifications. The first modification is to increase the ac- curacy of rate estimation, which is achieved by computing a non-integer number of bits for arithmetic coding of the syntax elements. This leads to a more accurate cost computation and therefore a better mode decision. The second modification is to search and adjust the value of Lambda based on the char- acteristics of each coding stage. For the encoder used, this paper proposes to search multiple values of Lambda for the intra-4x4 mode decision. Moreover, a simple shift in Lambda value is proposed for motion estimation. Each of these modi- fications offers a certain gain in RDO performance, and, when all are combined, an average bit-rate saving of up to 7.0% can be achieved for the H.264/AVC codec while the same concept is applicable to the H.265/HEVC codec as well. The extra added complexity is contained to a certain level, and is also adjustable according to the processing resources available.

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