DocumentCode
3409968
Title
Fast motion estimation with inter-view motion vector prediction for stereo and multiview video coding
Author
Ding, Li-Fu ; Tsung, Pei-Kuei ; Wei-Yin Chen ; Chien, Shao-Yi ; Chen, Wei-Yin
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ. Taipei, Taipei
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
1373
Lastpage
1376
Abstract
3-D video will become one of the most important video technologies in the next generation of television. Due to ultra high data bandwidth requirement for 3-D video, effective compression technology becomes an essential part in the infrastructure. Thus stereo and multiview video coding (MVC) plays a critical role. However, MVC systems require much more computational complexity relative to mono-view video coding systems. Therefore, an efficient prediction scheme is necessary for encoding. In this paper, a new fast motion estimation (ME) algorithm is proposed. By utilizing disparity estimation (DE) to find corresponding blocks between different views, the coding information such as motion vectors can be effectively shared and reused from the coded view channel. Therefore, the computation for ME in most view channels can be greatly reduced. Experimental results show that compared with the full search block matching algorithm applied to both ME and DE, the proposed algorithm saves 95% computation with near-FSBMA quality.
Keywords
motion compensation; motion estimation; video coding; 3D video; block matching algorithm; computational complexity; disparity estimation; interview motion vector prediction; motion estimation algorithm; motion vectors; video coding; Automatic voltage control; Cameras; Computational complexity; Engines; Entropy coding; Layout; Motion estimation; TV; Video coding; Video compression; 3D-video; H.264/AVC; MVC; video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4517874
Filename
4517874
Link To Document