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Mixture Model- and Least Squares-Based Packet Video Error Concealment
Chalmers University, Department of Signals and Systems. (Communication Systems)
Chalmers University, Department of Signals and Systems. (Communication Systems)
2009 (English)In: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 19, no 5, 1048-1054 p.Article in journal (Refereed) Published
Abstract [en]

A Gaussian mixture model (GMM)-based spatio-temporal error concealment approach has recently been proposed for packet video. The method improves peak signal-to-noise ratio (PSNR) compared to several famous error concealment methods, and it is asymptotically optimal when the number of mixture components goes to infinity. There are also drawbacks, however.The estimator has high online computational complexity, which implies that fewer surrounding pixels to the lost area than desired are used for error concealment. Moreover, GMM parameters are estimated without considering maximization of the error concealment PSNR. In this paper, we propose a mixture-based estimator and a least squares approach for solving the spatio-temporal error concealment problem. Compared to the GMM scheme, the new method may base error concealment on more surrounding pixels to the loss, while maintaining low computational complexity,and model parameters are found by an algorithm that increases PSNR in each iteration. The proposed method outperforms the GMM-based scheme in terms of computation-performance tradeoff.

Place, publisher, year, edition, pages
2009. Vol. 19, no 5, 1048-1054 p.
Keyword [en]
Block-based packet video, spatio-temporal error concealment, least squares (LS) estimation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-53663DOI: 10.1109/TIP.2009.2014261OAI: oai:DiVA.org:liu-53663DiVA: diva2:290873
Note
©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Daniel Persson and Thomas Eriksson, Mixture Model- and Least Squares-Based Packet Video Error Concealment, 2009, IEEE Transactions on Image Processing, (19), 5, 1048-1054. http://dx.doi.org/10.1109/TIP.2009.2014261 Available from: 2010-01-28 Created: 2010-01-28 Last updated: 2017-12-12

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