TY - GEN
T1 - Adaptive rate-distortion prediction for multiple reference selection and inter-mode decision
AU - ZHAO, Tiesong
AU - ZHANG, Yun
AU - KWONG, Sam
AU - WANG, Hanli
AU - CHEN, Qian
N1 - This work was supported in part by the Hong Kong Research Grants Council General Research Fund, under Project 9041495 (CityU 115109) and City University of Hong Kong Grant 9610025, the National Natural Science Foundation of China under Grant 61070147/61102088, Basic Research Program of Shenzhen (JC2010052703), and the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning, the Program for New Century Excellent Talents in University of China under Grant NCET-10-0634, the Shanghai Pujiang Program under Grant 11PJ1409400, the National Natural Science Foundation of China under Grant 61102059, the Fundamental Research Funds for the Central Universities under Grant 0800219158.
PY - 2012
Y1 - 2012
N2 - To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mode decision. In this paper, a Gaussian model based adaptive RD cost prediction method is developed to jointly speed up multiple reference selection and inter-mode decision. Besides the ability of achieving good coding efficiency with much reduced computational power, our method is also with two major advantages. First, it can achieve robust performance, including computational complexity reduction and almost intact video quality, with a wide range of video sequences resolutions and even for various scene changes; second, it could be either individually used or combined with the other efficient mode decision algorithms, and in both cases, our method could achieve remarkable performance, which is revealed by exhaustive experimental results. © 2012 Springer-Verlag.
AB - To minimize Rate-Distortion (RD) cost in video coding, RD Optimization (RDO) technique is adopted, which also brings increasingly computational complexity in Motion Estimation (ME), multiple reference selection and mode decision. In this paper, a Gaussian model based adaptive RD cost prediction method is developed to jointly speed up multiple reference selection and inter-mode decision. Besides the ability of achieving good coding efficiency with much reduced computational power, our method is also with two major advantages. First, it can achieve robust performance, including computational complexity reduction and almost intact video quality, with a wide range of video sequences resolutions and even for various scene changes; second, it could be either individually used or combined with the other efficient mode decision algorithms, and in both cases, our method could achieve remarkable performance, which is revealed by exhaustive experimental results. © 2012 Springer-Verlag.
KW - early termination
KW - Rate-Distortion estimation
KW - video coding
UR - http://www.scopus.com/inward/record.url?scp=84871447799&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-34778-8_45
DO - 10.1007/978-3-642-34778-8_45
M3 - Conference paper (refereed)
SN - 9783642347771
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 484
EP - 491
BT - Advances in Multimedia Information Processing, PCM 2012: 13th Pacific-Rim Conference on Multimedia, Singapore, December 4-6, 2012, Proceedings
A2 - LIN, Weisi
A2 - XU, Dong
A2 - HO, Anthony
A2 - WU, Jianxin
A2 - HE, Ying
A2 - CAI, Jianfei
A2 - KANKANHALLI, Mohan
A2 - SUN, Ming-Ting
PB - Springer Berlin Heidelberg
T2 - 13th Pacific-Rim Conference on Multimedia
Y2 - 4 December 2012 through 6 December 2012
ER -