Abstract
High Efficiency Video Coding (HEVC), a successor to H.264, is the next generation video compression standard. To enhance the coding efficiency of video frames, 35 intra prediction modes adopted in Prediction Unit (PU) from 4×4 to 64×64 of HEVC. However, the improvement is based on the cost of rapid increased complexity performance loss. This paper proposed a Pixel Gradient Statistics (PGS) and Mode Refinement (MR) based fast mode decision algorithm. PGS use pixel gradient information to assist prediction mode selection after Rough Mode Decision (RMD). MR utilizes neighboring mode information to select most probable mode (MPM). Experiment result shows that the proposed method performs about 28% time saving with little degradation (BD-rate increase 0.53% and BDPSNR reduce 0.038) in the coding gain.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings |
| Pages | 514-517 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Beijing Duration: 2013 Jul 6 → 2013 Jul 10 |
Other
| Other | 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 |
|---|---|
| City | Beijing |
| Period | 13/7/6 → 13/7/10 |
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Keywords
- gradient
- HEVC
- Intra prediction
- mode decision
ASJC Scopus subject areas
- Information Systems
- Signal Processing
Cite this
Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement. / Chen, Gaoxing; Pei, Zhenyu; Sun, Lei; Liu, Zhenyu; Ikenaga, Takeshi.
2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings. 2013. p. 514-517 6625393.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement
AU - Chen, Gaoxing
AU - Pei, Zhenyu
AU - Sun, Lei
AU - Liu, Zhenyu
AU - Ikenaga, Takeshi
PY - 2013
Y1 - 2013
N2 - High Efficiency Video Coding (HEVC), a successor to H.264, is the next generation video compression standard. To enhance the coding efficiency of video frames, 35 intra prediction modes adopted in Prediction Unit (PU) from 4×4 to 64×64 of HEVC. However, the improvement is based on the cost of rapid increased complexity performance loss. This paper proposed a Pixel Gradient Statistics (PGS) and Mode Refinement (MR) based fast mode decision algorithm. PGS use pixel gradient information to assist prediction mode selection after Rough Mode Decision (RMD). MR utilizes neighboring mode information to select most probable mode (MPM). Experiment result shows that the proposed method performs about 28% time saving with little degradation (BD-rate increase 0.53% and BDPSNR reduce 0.038) in the coding gain.
AB - High Efficiency Video Coding (HEVC), a successor to H.264, is the next generation video compression standard. To enhance the coding efficiency of video frames, 35 intra prediction modes adopted in Prediction Unit (PU) from 4×4 to 64×64 of HEVC. However, the improvement is based on the cost of rapid increased complexity performance loss. This paper proposed a Pixel Gradient Statistics (PGS) and Mode Refinement (MR) based fast mode decision algorithm. PGS use pixel gradient information to assist prediction mode selection after Rough Mode Decision (RMD). MR utilizes neighboring mode information to select most probable mode (MPM). Experiment result shows that the proposed method performs about 28% time saving with little degradation (BD-rate increase 0.53% and BDPSNR reduce 0.038) in the coding gain.
KW - gradient
KW - HEVC
KW - Intra prediction
KW - mode decision
UR - http://www.scopus.com/inward/record.url?scp=84889597799&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84889597799&partnerID=8YFLogxK
U2 - 10.1109/ChinaSIP.2013.6625393
DO - 10.1109/ChinaSIP.2013.6625393
M3 - Conference contribution
AN - SCOPUS:84889597799
SN - 9781479910434
SP - 514
EP - 517
BT - 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings
ER -