Name
Abstract | ||
|---|---|---|
We address the problem of enhancement layer drift estimation for fine granular scalable video. An optimal per-pixel drift estimation algorithm is introduced. The encoder assumes that there is some truncation of the enhancement layer, which does not allow the enhancement layer reference to be properly reconstructed, and the encoder recursively estimates the associated drift and chooses coding modes accordingly. The approach yields performance gains of about 1 dB across low to medium rates. In addition, we investigate dual frame prediction, for both base and enhancement layer, with pulsed-quality allocation in the base |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TIP.2006.877412 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
approach yields performance gain,base layer,dual frame prediction,optimal per-pixel drift estimation,enhancement layer,encoder recursively,associated drift,fine granular scalable video,enhancement layer reference,drift-resistant snr scalable video,enhancement layer drift estimation,video compression,indexing terms,scalable video coding,engineering | Truncation,Computer vision,Computer science,Signal-to-noise ratio,Image processing,Encoder,Artificial intelligence,Data compression,Image compression,Scalable Video Coding,Scalability | Journal |
Volume | Issue | ISSN |
15 | 8 | 1057-7149 |
Citations | PageRank | References |
3 | 1.02 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Leontaris | 1 | 47 | 3.65 |
| P. C. Cosman | 2 | 256 | 18.49 |