Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement

Gaoxing Chen; Zhenyu Pei; Lei Sun; Zhenyu Liu; Takeshi Ikenaga

doi:10.1109/ChinaSIP.2013.6625393

Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement

Gaoxing Chen, Zhenyu Pei, Lei Sun, Zhenyu Liu, Takeshi Ikenaga

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

25 Citations (Scopus)

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	https://doi.org/10.1109/ChinaSIP.2013.6625393
Publication status	Published - 2013 Dec 11
Event	2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Beijing, China Duration: 2013 Jul 6 → 2013 Jul 10

Publication series

Name	2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings

Conference

Conference	2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013
Country	China
City	Beijing
Period	13/7/6 → 13/7/10

Fingerprint

Keywords

HEVC
Intra prediction
gradient
mode decision

ASJC Scopus subject areas

Information Systems
Signal Processing

Cite this

Chen, G., Pei, Z., Sun, L., Liu, Z., & Ikenaga, T. (2013). Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement. In 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings (pp. 514-517). [6625393] (2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings). https://doi.org/10.1109/ChinaSIP.2013.6625393

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 (2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, G, Pei, Z, Sun, L, Liu, Z & Ikenaga, T 2013, Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement. in 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings., 6625393, 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings, pp. 514-517, 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013, Beijing, China, 13/7/6. https://doi.org/10.1109/ChinaSIP.2013.6625393

Chen G, Pei Z, Sun L, Liu Z, Ikenaga T. Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement. In 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings. 2013. p. 514-517. 6625393. (2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings). https://doi.org/10.1109/ChinaSIP.2013.6625393

Chen, Gaoxing ; Pei, Zhenyu ; Sun, Lei ; Liu, Zhenyu ; Ikenaga, Takeshi. / Fast intra prediction for HEVC based on pixel gradient statistics and mode refinement. 2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings. 2013. pp. 514-517 (2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings).

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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.",

keywords = "HEVC, Intra prediction, gradient, mode decision",

author = "Gaoxing Chen and Zhenyu Pei and Lei Sun and Zhenyu Liu and Takeshi Ikenaga",

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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.

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Access to Document

10.1109/ChinaSIP.2013.6625393