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2010 Asia-Pacific Conference on Information Theory (APCIT 2010 E-BOOK)

Xi'an,China,10.1-10.2,2010

ISBN: 978-1-935068-47-1 Scientific Research Publishing, USA

E-Book 506pp Pub. Date: November 2010

Category: Computer Science & Communications

Price: $80

Title: Rate-Distortion Model with Visual Perception for Multi-View Video Coding
Source: 2010 Asia-Pacific Conference on Information Theory (APCIT 2010 E-BOOK) (pp 35-39)
Author(s): Shihua Pi, Faculty of Information Science and Engineering, Ningbo University, Ningbo, China
Gangyi Jiang, Faculty of Information Science and Engineering, Ningbo University, Ningbo, China
Zongju Peng, Faculty of Information Science and Engineering, Ningbo University, Ningbo, China
Feng Shao, Faculty of Information Science and Engineering, Ningbo University, Ningbo, China
Songyin Fu, Faculty of Information Science and Engineering, Ningbo University, Ningbo, China
Fucui Li, Faculty of Information Science and Engineering, Ningbo University, Ningbo, China
Abstract: Multi-view video coding achieves higher compression efficiency by employing rate-distortion op- timization (RDO) mechanism and other new techniques. However， objective distortion metric such as the sum of absolute differences and the sum of square differences traditionally used in RDO are poorly correlated with human perception. Structural similarity (SSIM) is a new image quality assessment method, which is more consistent with human vision systems (HVS).In this paper, we incorporate the SSIM as distortion metric in the rate-distortion optimization framework, called visual perception-based rate-distortion optimization (VPRDO) algorithm. Simulation results show that the proposed VPRDO can averagely save bit rate more than 12% while maintaining almost the same video quality with QP=10, 20 and 30.
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