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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lei Sun Zhenyu Liu Ikenaga, T. |
| Copyright Year | 2012 |
| Description | Author affiliation: National Laboratory for Information Science and Technology, Tsinghua University, China (Zhenyu Liu) || Graduate School of Information, Production and Systems, Waseda University, Japan (Lei Sun; Ikenaga, T.) |
| Abstract | As an extension of AVC, SVC provides the ability to adapt to heterogeneous environments. However, transcoding between SVC and AVC becomes necessary due to the existence of legacy AVC-based systems. This paper proposes a low-complexity SVC-to-AVC CGS transcoder in the pixel domain, which achieves approximately the same coding efficiency as the full re-encoding method. The output AVC bitstream modes are deduced by the proposed mode-mapping strategy. Different from previous works which simply use full search for SVC modes, the SVC modes are also examined and refined to generate suitable AVC modes in the proposed method. Simulation results show that proposed transcoder achieves 10 times speed-up with only 2% BDBR increase and 0.08 dB BDPSNR loss, compared with the full re-encoding method. |
| Starting Page | 939 |
| Ending Page | 942 |
| File Size | 306897 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467322164 |
| ISSN | 10514651 |
| e-ISBN | 9784990644109 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-11 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | ICPR Org Committee |
| Subject Keyword | Static VAr compensators Transcoding Scalability Video coding Standards Accuracy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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