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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chong Wang Li Zhao Lin Luo Xin Wei |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Radio Eng., Southeast Univ., Nanjing (Chong Wang; Li Zhao; Lin Luo; Xin Wei) |
| Abstract | A new method for stereo video encoder based-on AVS is presented in this paper. In the system, an AVS encoder encodes the left-view sequence. For the right-view sequence, combined predictions from the temporal or disparity domains are exploited, with a hierarchical two-stage neural classifier for fast mode decision. The result of first-stage classifier produces different candidates for variable block partitions of each macro-block (MB). The second-stage classifier chooses the most suitable prediction sources between forward motion and disparity frames. The input of two-stage classifier is the simple calculation between current and its reference. Experiment results show that the proposed method can achieve up to 80% of time savings with nearly ignored quality degradation and only 7% of bit-rate increase. |
| Starting Page | 373 |
| Ending Page | 376 |
| File Size | 283763 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769533360 |
| DOI | 10.1109/CSSE.2008.356 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Video coding Motion estimation Stereo video coding Encoding Videoconference Computer science Degradation Neural networks Video compression neural classifier Motion compensation disparity estimation AVS Software engineering |
| Content Type | Text |
| Resource Type | Article |
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