Name
Abstract | ||
|---|---|---|
As an extension of H.264/AVC, Scalable Video Coding (SVC) provides the ability to adapt to heterogeneous requirements. However, transcoding between SVC and AVC becomes necessary due to the existence of legacy AVC-based systems. The straightforward full re-encoding method requires great computational cost, and fast SVC-to-AVC spatial transcoding techniques have not been thoroughly investigated yet. This paper proposes a low-complexity SVC-to-AVC spatial transcoder in hybrid domain (pixel domain & transform domain) with drift compensation. In the pixel-domain transcoding, a fast re-encoding method is proposed based on mode mapping and MV refinement. In the transform-domain transcoding, the quantized transform coefficients together with motion data are reused directly to avoid re-quantization loss. At last, the drift problem in proposed transcoder is solved. Simulation results show that proposed transcoder achieves averagely 96.4% time reduction compared with the full re-encoding method, and outperforms the reference methods in coding efficiency. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-34778-8_12 | PCM |
Keywords | Field | DocType |
videoconferencing-oriented hybrid-domain h.264,pixel domain,straightforward full re-encoding method,transform-domain transcoding,low-complexity svc-to-avc spatial transcoder,pixel-domain transcoding,full re-encoding method,proposed transcoder,hybrid domain,reference method,fast re-encoding method,videoconferencing | Transcoding,Computer vision,Algorithmic efficiency,Spatial scalability,Computer science,Real-time computing,Artificial intelligence,Pixel,Videoconferencing,Computer engineering,Scalable Video Coding | Conference |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Sun | 1 | 26 | 15.36 |
| Zhenyu Liu | 2 | 172 | 23.22 |
| Takeshi Ikenaga | 3 | 618 | 125.50 |