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Proceedings Paper

Video error concealment based on implicit motion models
Author(s): Yunfei Zheng; Xin Li; Congxia Dai
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Paper Abstract

Motion plays a fundamental role in coding and processing of video signals. Existing approaches of modeling video source are mostly based on explicitly estimating motion information from intensity values. Despite its conceptual simplicity, motion estimation (ME) is a long-standing open problem itself and accordingly the performance of a system operated on inaccurate motion information is unlikely to be optimal. In this paper, we present a novel approach of modeling video signals without explicit ME. Instead, motivated by a duality between edge contour of image and motion trajectory of video, we demonstrate that the spatio-temporal redundancy in video can be exploited by Least-Square(LS) based adaptive filtering techniques. We consider the application of such implicit motion models into the problem of error concealment or more generally known as video inpainting. Our experimental results have shown the excellent performance of the proposed LS-based error concealment techniques under a variety of information loss conditions.

Paper Details

Date Published: 25 October 2005
PDF: 10 pages
Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60150F (25 October 2005); doi: 10.1117/12.631029
Show Author Affiliations
Yunfei Zheng, West Virginia Univ. (United States)
Xin Li, West Virginia Univ. (United States)
Congxia Dai, West Virginia Univ. (United States)


Published in SPIE Proceedings Vol. 6015:
Multimedia Systems and Applications VIII
Anthony Vetro; Chang Wen Chen; C.-C. J. Kuo; Tong Zhang; Qi Tian; John R. Smith, Editor(s)

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