Name
Abstract | ||
|---|---|---|
In H.264/AVC, the bits used for the Intra_4x4 prediction mode information usually occupy a high percentage in intra coding. Towards this issue, we present an efficient coding method for the Intra_4x4 prediction mode information. Firstly, a 3-order Markov random field is introduced to model the correlation among neighboring 4x4 blocks at picture level. Secondly, based on the conditional probabilities learned in this model, we build up a context adaptive coding scheme to code the Intra_4x4 prediction mode information. Although the probabilities and the coding scheme are initialized off-line, they can be revised by automatic adjustments. Thus the proposed algorithm is robust to a variety of video sequences. Experimental results demonstrate that the proposed method can obtain a gain up to 0.3 dB in all I-frames coding without involving any serious computational burden. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISCAS.2009.5118387 | ISCAS: 2009 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-5 |
Keywords | Field | DocType |
Image/video coding, H.264/AVC, Intra prediction | Markov process,Pattern recognition,Coding tree unit,Markov random field,Context-adaptive variable-length coding,Computer science,Coding (social sciences),Context model,Robustness (computer science),Artificial intelligence,Adaptive coding | Conference |
Citations | PageRank | References |
1 | 0.40 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai Zhang | 1 | 4 | 1.17 |
| Xiangyang Ji | 2 | 533 | 73.14 |
| Qian Huang | 3 | 45 | 4.96 |
| Debin Zhao | 4 | 3010 | 206.12 |
| Wen Gao | 5 | 11374 | 741.77 |