NDLI: Human visual system aware decoding strategies for Distributed Video Coding

Content Provider	IEEE Xplore Digital Library
Author	Sofke, Soren Hansel, Ralph Muller, Erika
Copyright Year	2009
Description	Author affiliation: University of Rostock, Institute of Communications Engineering, Germany (Sofke, Soren; Hansel, Ralph; Muller, Erika)
Abstract	Distributed Video Coding (DVC) is a recent paradigm that offers emerging capabilities in contradiction to the established conventional video coding techniques. Based on the Slepian-Wolf (SW) and Wyner-Ziv (WZ) theorems, a DVC system has an outstanding low encoding complexity, by shifting the computational complex process of correlation exploration to the decoder. The fundamental DVC architecture is organized to reach a competitive Rate-Distortion (RD) performance in terms of PSNR, despite its low correlation with the human visual system (HSV). In contrast, this paper addresses the problem by proposing three image processing tools for exploiting spatio-temporal correlations to reduce the perceptual distortion of WZ frames. The proposed WZ pixel domain framework offers a comparable RD-performance referring to H.264 AVC intra coding.
Starting Page	1
Ending Page	4
File Size	341212
Page Count	4
File Format	PDF
ISBN	9781424445936
DOI	10.1109/PCS.2009.5167434
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding PSNR Image processing Humans Human Visual System Decoding Visual system Image coding Perceptual Wyner-Ziv Coding Rate-distortion Computer architecture Distributed Video Coding Automatic voltage control
Content Type	Text
Resource Type	Article

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