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An effective temporal error concealment in H.264 video sequences based on scene change detection-PCA model

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Abstract

This paper proposes a new temporal error concealment algorithm in H.264 video sequences based on scene change detection and PCA model. In order to detect scene change, dynamic threshold and image similarity metric are presented using coding prediction mode and DCT AC energy in H.264 baseline. UPCA (Updated PCA) model is presented by combining the scene change feature with Index transformation-Buffer updating approach. The lost images are concealed by Projection onto Convex Sets algorithm with UPCA model. Experimental results show that the proposed algorithm can achieve better error concealment performance for the higher motion and the frequent scene change, compared with the related method.

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Authors and Affiliations

  1. Visual Information Processing Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea

    Gwangmin Choe

  2. Information and Communication Laboratory, School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People’s Republic of Korea

    Cholman Nam & Changgon Chu

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  1. Gwangmin Choe
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  2. Cholman Nam
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  3. Changgon Chu
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Correspondence to Gwangmin Choe.

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Choe, G., Nam, C. & Chu, C. An effective temporal error concealment in H.264 video sequences based on scene change detection-PCA model. Multimed Tools Appl 77, 31953–31967 (2018). https://doi.org/10.1007/s11042-018-6184-1

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  • DOI: https://doi.org/10.1007/s11042-018-6184-1

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