Name
Abstract | ||
|---|---|---|
This study presents an intensity gradient approach for intra-prediction in H.264 encoding system, which enhances the performance and efficiency of previous fast algorithms. We propose a preprocessing stage in which eight orientation features are extracted from a macro block by the intensity gradient filters. The orientation features are utilized to select a subset of prediction modes to be involved in the rate-distortion calculation so that the encoding time can be reduced. The simulation results indicate that the intensity gradient based algorithm for intra-prediction contributes better tradeoff between rate-distorion performance and encoding complexity than the previous algorithms. Compared to H.264 reference software, the proposed algorithm introduces slight PSNR degradation and bit rate increase but saves around 76% of the total encoding time with all intra-frame coding. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TCSVT.2008.919113 | IEEE Trans. Circuits Syst. Video Techn. |
Keywords | Field | DocType |
total encoding time,efficient intra-prediction,intensity gradient technique,h.264 reference software,encoding complexity,intensity gradient approach,h.264 encoding system,encoding time,previous algorithm,intensity gradient,intensity gradient filter,orientation feature,psnr,encoding,entropy coding,block codes,feature extraction,orientation | Gradient method,Signal processing,Entropy encoding,Pattern recognition,Computer science,Signal-to-noise ratio,Block code,Feature extraction,Artificial intelligence,Rate–distortion theory,Encoding (memory) | Journal |
Volume | Issue | ISSN |
18 | 5 | 1051-8215 |
Citations | PageRank | References |
50 | 2.64 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| An-Chao Tsai | 1 | 161 | 13.67 |
| Anand Paul | 2 | 527 | 46.32 |
| Jia-Ching Wang | 3 | 515 | 58.13 |
| Jhing-fa Wang | 4 | 982 | 114.31 |