Abstract | ||
---|---|---|
An efficient algorithm for inter-frame coding in the H.264/AVC standard is extended to provide more significant speedup in computational performance for sequences containing high spatial correlation and motion. The proposed scheme features a more sophisticated search process and robust predictions to achieve better PSNR- rate performance for a large range of compression levels. Extensive simulation results demonstrate speedups of between 41% and 68%, with no noticeable deterioration in picture quality or compression ratio, even for the coding of complex video sequences. |
Year | DOI | Venue |
---|---|---|
2005 | 10.1109/ICIP.2005.1530202 | Image Processing, 2005. ICIP 2005. IEEE International Conference |
Keywords | Field | DocType |
data compression,image sequences,video coding,H.264-AVC standard,inter-frame coding,search process,video coding,video sequences | Computer vision,Quarter-pixel motion,Coding tree unit,Computer science,Context-adaptive variable-length coding,Motion compensation,Artificial intelligence,Inter frame,Video compression picture types,Scalable Video Coding,Context-adaptive binary arithmetic coding | Conference |
Volume | ISSN | ISBN |
2 | 1522-4880 | 0-7803-9134-9 |
Citations | PageRank | References |
1 | 0.47 | 1 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andy C. Yu | 1 | 36 | 6.14 |
Graham R. Martin | 2 | 54 | 11.60 |
Heechan Park | 3 | 55 | 7.18 |