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Optimization algorithm based on texture feature and frame correlation in HEVC

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Abstract

Newly proposed video standard High Efficiency Video Coding (HEVC) achieves higher compression performance than previous ones. In this paper, we propose a novel algorithm for intra prediction, which scales the complexity of pictures’ texture to perform different levels of simplification on Most Probable Mode(MPM) selection. And the proposed algorithm for inter prediction initializes current Coding Unit(CU) depth information with that information of temporally adjacent frame’s co-located CU. These two proposed algorithms, utilizing the texture feature and correlation of adjacent frames, reduce the computational complexity to improve the efficiency of encoder. The proposed algorithms decrease more than 30 % of encoding time with nearly negligible increment in bit-rate, especially work well when encoding sequences with high definition.

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Authors and Affiliations

  1. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, China

    Hongcheng Liu, Hang Lei & Yunbo Rao

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  1. Hongcheng Liu
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  2. Hang Lei
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  3. Yunbo Rao
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Correspondence to Hongcheng Liu.

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Liu, H., Lei, H. & Rao, Y. Optimization algorithm based on texture feature and frame correlation in HEVC. Multimed Tools Appl 76, 1959–1981 (2017). https://doi.org/10.1007/s11042-015-3029-z

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  • DOI: https://doi.org/10.1007/s11042-015-3029-z

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