Name
Abstract | ||
|---|---|---|
This paper jointly considers the mechanisms of rate control and the rate-distortion optimization (RDO) for the H.264/AVC hardware encoder. The proposed architecture performs intra prediction and inter prediction with our rate control mechanism in the first two stages. In addition, a low complexity macroblock (MB)-level mean absolute difference (MAD) prediction algorithm which considers both the motion information and the MAD value in the neighboring and current MBs is proposed. The proposed rate control algorithm can reduce the computational complexity and does not suffer from data dependency problems which may decrease the rate-distortion performance, thus it is suitable for H.264/AVC hardware encoders. Furthermore, the RDO-based architecture for the H.264/AVC encoder reduces the number of accurate rate-distortion cost calculators while maintaining the high rate-distortion performance. Experimental results show that the proposed rate control algorithm with the RDO-based architecture can improve the rate-distortion performance of H.264/AVC. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TCSVT.2011.2129770 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
h.264/avc,optimisation,low complexity macroblock level,rate control,rate-distortion cost calculators,motion information,rdo-based architecture,proposed rate control algorithm,avc encoder,mad value,inter prediction,high rate-distortion performance,avc hardware encoder,data compression,h.264/avc hardware encoder,accurate rate-distortion cost calculator,proposed architecture,avc encoders,computational complexity,mean absolute difference prediction algorithm,rate-distortion optimization,intra prediction,video coding,rdo-based h.264,two-stage rate control mechanism,rate distortion theory,rate-distortion performance,avc hardware encoders,image motion analysis,encoding,prediction algorithms,discrete cosine transform,mean absolute difference,hardware,rate distortion optimization,computer architecture | Data dependency,Computer science,Real-time computing,Artificial intelligence,Rate–distortion theory,Rate–distortion optimization,Macroblock,Pattern recognition,Algorithm,Encoder,Data compression,Encoding (memory),Computational complexity theory | Journal |
Volume | Issue | ISSN |
21 | 5 | 1051-8215 |
Citations | PageRank | References |
6 | 0.71 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li-Chuan Chang | 1 | 13 | 2.05 |
| Chih-Hung Kuo | 2 | 86 | 14.77 |
| Bin-da Liu | 3 | 563 | 66.56 |