DocumentCode
3012880
Title
Complexity-reduced geometry partition search and high efficiency prediction for video coding
Author
Wang, Qifei ; Sun, Ming-Ting ; Sullivan, Gary J. ; Li, Jin
Author_Institution
TNList and Dept. of Automation, Tsinghua University, Beijing, China
fYear
2012
fDate
20-23 May 2012
Firstpage
133
Lastpage
136
Abstract
To reduce the complexity of searching for wedge-based geometry partitions in video coding, we propose a texture-difference based partition line selection approach with a skipping strategy. Applying this approach can reduce the encoding time by 90% while retaining the similar rate-distortion performance to that of exhaustive searching. We also propose a background-compensated prediction scheme to improve the rate-distortion performance of the geometry partitioning prediction by reducing its motion vector overhead. Incorporating our proposed approach into object-boundary-based geometry partitioning can achieve about 10% bit-rate savings relative to the full-search approach while keeping the complexity at about the same level as our proposed complexity-reduced wedge-based geometry partitioning.
Keywords
Computational complexity; Encoding; Gain; Geometry; PSNR; Vectors; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location
Seoul, Korea (South)
ISSN
0271-4302
Print_ISBN
978-1-4673-0218-0
Type
conf
DOI
10.1109/ISCAS.2012.6271486
Filename
6271486
Link To Document