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 :
بازگشت