2014•Unpublished venueRequires access

Fast Coding Tree Unit depth decision for high efficiency video coding

Zhaoqing Pan, Sam Kwong, Yun Zhang, Jianjun Lei, Hui Yuan

Open publisher page 14 citations

Abstract

High Efficiency Video Coding (HEVC) is the latest video coding standard, which adapts quadtree structure based Coding Tree Unit (CTU) to improve the coding efficiency. In HEVC encoding process, the CTU is recursively partitioned into coding units according to the quadtree depth. This technique increases the coding efficiency of HEVC, however, the achieved coding efficiency comes at the cost of high computational complexity. In this paper, we propose a fast C-TU quadtree depth decision algorithm to reduce the computational complexity of HEVC. Firstly, based on the best C-TU depth correlation among spatial and temporal neighboring CTUs, an early quadtree depth 0 decision algorithm is proposed. Then, according to the correlation between the prediction unit mode and the best CTU depth selection, a quadtree depth 3 skipped decision algorithm is proposed. Experimental results show that the proposed algorithm can achieve 40% on average encoding time saving, while maintaining a comparable rate-distortion performance.

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What this paper is about

High Efficiency Video Coding (HEVC) is the latest video coding standard, which adapts quadtree structure based Coding Tree Unit (CTU) to improve the coding efficiency. In HEVC encoding process, the CTU is recursively partitioned into coding units according to the quadtree depth. This technique increases the coding efficiency of HEVC, however, the achieved coding efficiency comes at the cost of high computational complexity. In this paper, we propose a fast C-TU quadtree depth decision algorithm to reduce the computational complexity of HEVC. Firstly, based on the best C-TU depth correlation among spatial and temporal neighboring CTUs, an early quadtree depth 0 decision algorithm is proposed. Then, according to the correlation between the prediction unit mode and the best CTU depth selection, a quadtree depth 3 skipped decision algorithm is proposed. Experimental results show that the proposed algorithm can achieve 40% on average encoding time saving, while maintaining a comparable rate-distortion performance.

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

High Efficiency Video Coding (HEVC) is the latest video coding standard, which adapts quadtree structure based Coding Tree Unit (CTU) to improve the coding efficiency. In HEVC encoding process, the CTU is recursively partitioned into coding units according to the quadtree depth. This technique increases the coding efficiency of HEVC, however, the achieved coding efficiency comes at the cost of high computational complexity. In this paper, we propose a fast C-TU quadtree depth decision algorithm to reduce the computational complexity of HEVC. Firstly, based on the best C-TU depth correlation among spatial and temporal neighboring CTUs, an early quadtree depth 0 decision algorithm is proposed. Then, according to the correlation between the prediction unit mode and the best CTU depth selection, a quadtree depth 3 skipped decision algorithm is proposed. Experimental results show that the proposed algorithm can achieve 40% on average encoding time saving, while maintaining a comparable rate-distortion performance.

Key concepts: Quadtree, Coding tree unit, Coding (social sciences), Computer science, Algorithmic efficiency, Computational complexity theory, Algorithm, Context-adaptive binary arithmetic coding

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