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International Conference on Multimedia Modeling

MMM 2008: Advances in Multimedia Modeling pp 402–412Cite as

Temporal Error Concealment for H.264 Using Optimum Regression Plane

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4903))

Abstract

Highly compressed video bitstreams transmitted over error-prone communications networks can suffer from packet erasures. In order to avoid error-catalyzed artifacts from producing visible corruption of affected video frames, the use of error concealment at the video decoder becomes essential, especially in regard to wireless video transmission which can suffer packet loss more easily due to fluctuating channel conditions. Temporal error concealment techniques are usually successful when there is continuous high correlation between the frames of the coded sequence. The proposed temporal error concealment techniques consist of a novel and unique mathematical model, the optimum regression plane, developed for the repair of damaged motion vectors, and the creation of a framework to perform the variable block size motion compensation based on predictive motion vectors in Laplacian distribution model space for H.264 decoder. Experiments performed using the proposed temporal error concealment method resulted in excellent gains of up to 3.89 dB compared to those of the Joint Model (JM) method for a wide range of benchmark sequences.

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Authors and Affiliations

  1. Fellow IEEE, Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

    Shih-Chia Huang & Sy-Yen Kuo

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  1. Shih-Chia Huang
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  2. Sy-Yen Kuo
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Shin’ichi Satoh Frank Nack Minoru Etoh

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© 2008 Springer-Verlag Berlin Heidelberg

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Huang, SC., Kuo, SY. (2008). Temporal Error Concealment for H.264 Using Optimum Regression Plane. In: Satoh, S., Nack, F., Etoh, M. (eds) Advances in Multimedia Modeling. MMM 2008. Lecture Notes in Computer Science, vol 4903. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77409-9_38

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  • DOI: https://doi.org/10.1007/978-3-540-77409-9_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77407-5

  • Online ISBN: 978-3-540-77409-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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