Perceptual Distortion Measure for Polygon-Based Shape Coding-Reference-Cited by-同舟云学术

Perceptual Distortion Measure for Polygon-Based Shape Coding

Published:2013 Issue:3 Volume:E96.D Page:750-753
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LAI Zhongyuan¹,LIU Wenyu¹,ZHANG Fan²,CHENG Guang³

Affiliation:

1. Department of Electronics and Information Engineering, Huazhong University of Science and Technology

2. Technicolor (Beijing) Company

3. Department of Electronic Engineering, Tsinghua University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E96.D/3/E96.D_750/_pdf

Reference10 articles.

1. [1] A.K. Katsaggelos, L.P. Kondi, F.W. Meier, J. Ostermann, and G.M. Schuster, “MPEG-4 and rate-distortion-based shape-coding techniques,” Proc. IEEE, vol.86, no.6, pp.1126-1154, June 1998.

2. [2] B.-J. Yun, J.-S. Cho, and Y.-H. Ko, “A new vertex adjustment method for polygon-based shape coding,” IEICE Trans. Inf. & Syst., vol.E89-D, no.10, pp.2693-2695, Oct. 2006.

3. [3] C.-M. Kuo, C.-H. Hsieh, and Y.-R. Huang, “A new adaptive vertex-based binary shape coding technique,” Image Vis. Comput., vol.25, no.6, pp.863-872, June 2007.

4. [4] Z. Lai, W. Liu, and Y. Zhang, “Perceptual relevance measure for generic shape coding,” Proc. IEEE Data Compression Conf., p.453, 2009.

5. [5] F.A. Sohel, G.C. Karmakar, L.S. Dooley, and M. Bennamoun, “Geometric distortion measurement for shape coding: A contemporary review,” ACM Comput. Surveys, vol.43, no.4, pp.29: 1-29: 22, Oct. 2011.

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