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Temporal Error Concealment Algorithm Using Fuzzy Metric

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Book cover Computational Intelligence (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4114))

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Abstract

To efficiently recover the lost motion vectors of corrupt macro- blocks, we introduce a new fuzzy metric based on Sugeno fuzzy integral as distortion metric in temporal error concealment. The proposed fuzzy metric can suit the HVS (human visual system) fairly well. Also, we integrate the proposed algorithm into H.264/AVC decoder. Experimental results from decoding several types of video sequences have shown that our scheme can considerably improve the visual quality of reconstructed images and achieve the PSNR gain at different frame.

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© 2006 Springer-Verlag Berlin Heidelberg

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Lai, C., Hao, C., Shen, X. (2006). Temporal Error Concealment Algorithm Using Fuzzy Metric. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_23

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  • DOI: https://doi.org/10.1007/978-3-540-37275-2_23

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37274-5

  • Online ISBN: 978-3-540-37275-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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