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Proceedings Paper

An improved spatio-temporal video error concealment algorithm using partial differential equation
Author(s): Yang Hu; Yan Chen; Houqiang Li; Chang Wen Chen
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Paper Abstract

The application of error concealment in video communication is very important when compressed video sequences are transmitted over error-prone networks and erroneously received. In this paper, we propose a novel error concealment scheme, in which the concealment problem is formulated as minimizing, in a weighted manner, the difference between the gradient of the reconstructed data and a prescribed vector field under given boundary condition. Instead of using the motion compensated block as the final recovered pixel values, we use the gradient of the motion compensated block together with the surrounding correctly decoded pixels of the damaged block to reconstruct the lost data. Both temporal and spatial correlations of the video signals are exploited in the proposed scheme. A well designed weighting factor is used to control the regulation level at a desired direction according to the local blockiness degree at the boundaries of the recovered block. The experimental results show that the proposed algorithm is able to achieve higher PSNR as well as better visual quality in comparison with the error concealment feature implemented in the H.264 reference software. The blocking effects are greatly alleviated while the structural information in the interior of the recovered block is well preserved.

Paper Details

Date Published: 24 October 2005
PDF: 11 pages
Proc. SPIE 6015, Multimedia Systems and Applications VIII, 60150G (24 October 2005); doi: 10.1117/12.634342
Show Author Affiliations
Yang Hu, Univ. of Science and Technology of China (China)
Yan Chen, Univ. of Science and Technology of China (China)
Houqiang Li, Univ. of Science and Technology of China (China)
Chang Wen Chen, Florida Institute of Technology (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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