Paper
24 October 2005 Video error concealment based on implicit motion models
Yunfei Zheng, Xin Li, Congxia Dai
Author Affiliations +
Proceedings Volume 6015, Multimedia Systems and Applications VIII; 60150F (2005) https://doi.org/10.1117/12.631029
Event: Optics East 2005, 2005, Boston, MA, United States
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yunfei Zheng, Xin Li, and Congxia Dai "Video error concealment based on implicit motion models", Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60150F (24 October 2005); https://doi.org/10.1117/12.631029
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Video

Motion models

Error analysis

Motion estimation

Cameras

Signal processing

3D image processing

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