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Shape Coding Using Perceptual Relevance Distortion Measure
Lai Zhongyuan * #,Zuo Zhen,Wang Zhe,Liu Wenyu
Department of Electronics and Information Engineering, Huazhong University of Science and Technology
*Correspondence author
#Submitted by
Subject:
Funding: Education Ministry Doctoral Research Foundation of China （No.No. 20070487028）
Opened online:20 January 2011
Accepted by: none
Citation: Lai Zhongyuan,Zuo Zhen,Wang Zhe.Shape Coding Using Perceptual Relevance Distortion Measure[OL]. [20 January 2011] http://en.paper.edu.cn/en_releasepaper/content/4406421
 
 
We address a fundamental problem in subjective reconstruction quality by introducing a perceptual relevance measure for generic vertex-based shape coding. Different from traditional absolute distance measure, our proposed measure systemically considers the turn angel and two adjacent segments for corresponding vertex visual significance calculation. We embed our proposed measure into top-down and button-up frameworks, stages of both vertex selection and adjustments, and class one and class two distortion measure definitions. The experiment results show that our proposed measure can significantly improve the subjective reconstruction quality as well as the objective rate-distortion performance, especially for the object shape with sharp salience.
Keywords:computer application technology; data compression; shape coding; distorsion mesurement; peceptual relevance
 
 
 

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