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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ping An Qiuyan Guo Tao Mi Li Zhou Zhaoyang Zhang |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai (Ping An; Qiuyan Guo; Tao Mi; Li Zhou; Zhaoyang Zhang) |
| Abstract | Multiple view video coding (MVC) is key technology that serves a wide variety of applications, including FTV (free-viewpoint television), 3DTV (three dimensional television) and surveillance. Multi-view video consists of multiple views of the same scene in which there is a high degree of correlation between inter views and intra views. In this paper, a multi-view video coding method based on a new view prediction structure is proposed which makes full use of the spatial redundancy in addition to exploiting the temporal redundancy by performing spatial prediction across different views. A multi-reference disparity prediction method based on variable size block matching is used to get better disparity compensation effect in the proposed structure. Besides, by omitting transmission some B frames, the coding bit-rate is further reduced. Experimental results show that compared to general GoGOP algorithm, the proposed multi-reference prediction algorithm can reconstruct the target images with higher quality, and the MVC scheme based on the new view prediction structure can obtain a coding gain with about 1.4 dB. |
| Starting Page | 1481 |
| Ending Page | 1485 |
| File Size | 890138 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424417230 |
| DOI | 10.1109/ICALIP.2008.4590138 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Video coding Image segmentation Redundancy Estimation Prediction algorithms Encoding Image reconstruction |
| Content Type | Text |
| Resource Type | Article |
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