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Texture-intensity-based fast coding unit size determination method for high-efficiency video coding intracoding

[+] Author Affiliations
Xiangqun Li

Sichuan University, Image Information Institute, College of Electronics and Information Engineering, No. 29 Jiuyanqiao Wangjiang Road, Chengdu 610064, China

Northwest University for Nationalities, College of Electrical Engineering, Lanzhou 730030, China

Xiaohai He

Sichuan University, Image Information Institute, College of Electronics and Information Engineering, No. 29 Jiuyanqiao Wangjiang Road, Chengdu 610064, China

Xiaohong Wu

Sichuan University, Image Information Institute, College of Electronics and Information Engineering, No. 29 Jiuyanqiao Wangjiang Road, Chengdu 610064, China

Zhengyong Wang

Sichuan University, Image Information Institute, College of Electronics and Information Engineering, No. 29 Jiuyanqiao Wangjiang Road, Chengdu 610064, China

J. Electron. Imaging. 23(5), 053005 (Sep 15, 2014). doi:10.1117/1.JEI.23.5.053005
History: Received April 15, 2014; Revised July 7, 2014; Accepted August 28, 2014
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Abstract.  The quad-tree-based picture partition scheme in high-efficiency video coding (HEVC) provides significant coding efficiency improvements, particularly for high-resolution videos. However, its flexible block partitions and numerous intraprediction modes result in a substantial increase in computational complexity compared with previous video coding standards because of the necessity of determining the best coding unit (CU) partitions. A fast HEVC intracomputation method that uses image textural feature information instead of the traditional rate-distortion (R-D) cost value is proposed. This information is used to control the CU partition at the exterior of the xCompressCU function in the HEVC model coding framework. The method is comprised of two key steps: (1) simulation of the CU partition of the current frame image and calculation of the strength value of the textural features of each sub-block; and (2) disregard of some CU partition depths in the xCompressCU function, with no R-D cost calculation being required in the corresponding prediction mode. By leveraging these two steps, the computational complexity of the encoder is effectively lowered. Experimental results indicate that the proposed method reduces the coding time computational complexity of the current HEVC model by approximately 39.08% with negligible loss of coding efficiency.

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© 2014 SPIE and IS&T

Citation

Xiangqun Li ; Xiaohai He ; Xiaohong Wu and Zhengyong Wang
"Texture-intensity-based fast coding unit size determination method for high-efficiency video coding intracoding", J. Electron. Imaging. 23(5), 053005 (Sep 15, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.5.053005


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