2015•Unpublished venueRequires access

A Fast CU Decision Algorithm for MV-HEVC

Peicheng Wang, Xingang Liu, Binfei Shao

Open publisher page 5 citations

Abstract

MV-HEVC is a 3D extension of the High Efficiency Video Coding (HEVC) standard, which is developed to improve the coding efficiency of multi-view video. However, this improved efficiency leads to greater computational complexity. Recently, how to reduce the encoding time for multi-view coding is becoming a hot issue in real-time applications. In this paper, a fast coding unit (CU) decision algorithm is proposed by utilizing spatiotemporal and inter-view information, including the maximum depth level of related CUs and motion vectors. Firstly, the maximum depth level of current CU is predicted by using spatiotemporal and inter-view CUs. Then, it will be adjusted by checking whether the current CU has the same motion feature with nearby spatial CUs. Experimental results show that our proposed algorithm can achieve up to 67.16 % time reduction with a little degradation in encoding efficiency.

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What this paper is about

MV-HEVC is a 3D extension of the High Efficiency Video Coding (HEVC) standard, which is developed to improve the coding efficiency of multi-view video. However, this improved efficiency leads to greater computational complexity. Recently, how to reduce the encoding time for multi-view coding is becoming a hot issue in real-time applications. In this paper, a fast coding unit (CU) decision algorithm is proposed by utilizing spatiotemporal and inter-view information, including the maximum depth level of related CUs and motion vectors. Firstly, the maximum depth level of current CU is predicted by using spatiotemporal and inter-view CUs. Then, it will be adjusted by checking whether the current CU has the same motion feature with nearby spatial CUs. Experimental results show that our proposed algorithm can achieve up to 67.16 % time reduction with a little degradation in encoding efficiency.

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Available abstract

MV-HEVC is a 3D extension of the High Efficiency Video Coding (HEVC) standard, which is developed to improve the coding efficiency of multi-view video. However, this improved efficiency leads to greater computational complexity. Recently, how to reduce the encoding time for multi-view coding is becoming a hot issue in real-time applications. In this paper, a fast coding unit (CU) decision algorithm is proposed by utilizing spatiotemporal and inter-view information, including the maximum depth level of related CUs and motion vectors. Firstly, the maximum depth level of current CU is predicted by using spatiotemporal and inter-view CUs. Then, it will be adjusted by checking whether the current CU has the same motion feature with nearby spatial CUs. Experimental results show that our proposed algorithm can achieve up to 67.16 % time reduction with a little degradation in encoding efficiency.

Key concepts: Coding (social sciences), Computer science, Algorithmic efficiency, Algorithm, Computational complexity theory, Coding tree unit, Encoding (memory), Real-time computing

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