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CLC number: TN919.8

On-line Access: 2011-12-29

Received: 2011-07-27

Revision Accepted: 2011-11-28

Crosschecked: 2011-12-08

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Journal of Zhejiang University SCIENCE C 2012 Vol.13 No.1 P.71-82

http://doi.org/10.1631/jzus.C1100218


Video coding using geometry based block partitioning and reordering discrete cosine transform


Author(s):  Yi-xiong Zhang, Jiang-hong Shi, Wei-dong Wang

Affiliation(s):  Department of Communication Engineering, Xiamen University, Xiamen 361005, China, Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   zyx@xmu.edu.cn

Key Words:  Geometry based block partitioning, Reordering DCT, Motion compensation, Video coding


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Yi-xiong Zhang, Jiang-hong Shi, Wei-dong Wang. Video coding using geometry based block partitioning and reordering discrete cosine transform[J]. Journal of Zhejiang University Science C, 2012, 13(1): 71-82.

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Abstract: 
geometry based block partitioning (GBP) has been shown to achieve better performance than the tree structure based block partitioning (TSBP) of H.264. However, the residual blocks of GBP mode after motion compensation still present some non-vertical/non-horizontal orientations, and the conventional discrete cosine transform (DCT) may generate many high-frequency coefficients. To solve this problem, in this paper we propose a video coding approach by using GBP and reordering DCT (RDCT) techniques. In the proposed approach, GBP is first applied to partition the macroblocks. Then, before performing DCT, a reordering operation is used to adjust the pixel positions of the residual macroblocks based on the partition information. In this way, the partition information of GBP can be used to represent the reordering information of RDCT, and the bitrate can be reduced. Experimental results show that, compared to H.264/AVC, the proposed method achieves on average 6.38% and 5.69% bitrate reductions at low and high bitrates, respectively.

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