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HEVC intra coding using vote-based optimization algorithm

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Abstract

We present a voted optimization algorithm utilizing correlation of adjacent frames’ texture feature and thoughts of voted selection for newly proposed video standard High Efficiency Video Coding (HEVC). In addition, a voted algorithm based on original candidate mode collection is developed, which use the candidate modes, to resolve HEVC Most Probable Mode (MPM) mechanism for intra prediction problem. Meanwhile, we perform the vote rules to cut down on candidate collection, which is based on our proposed voted method. Experimental results show that proposed voted algorithm improves the efficiency of encoder by decreasing encoding time with more than 20% and causes nearly negligible increment in bit-rate.

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Authors and Affiliations

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

    Ping Kuang & Jianhua Deng

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  1. Ping Kuang
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  2. Jianhua Deng
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Correspondence to Ping Kuang.

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Kuang, P., Deng, J. HEVC intra coding using vote-based optimization algorithm. Aut. Control Comp. Sci. 51, 254–262 (2017). https://doi.org/10.3103/S014641161704006X

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  • DOI: https://doi.org/10.3103/S014641161704006X

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