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The L∞-constrained image coding is a technique to achieve substantially lower bit rate than strictly (mathematically) lossless image coding while still imposing a tight error bound at each pixel (colloquially referred to as near-lossless image coding). However, this technique becomes inferior in the L2 distortion metric if the bit rate decreases further. We propose a new soft decoding approach to...
Error concealment at the video decoder is to recover erroneous picture region based on correctly decoded region in the same frame or the neighboring frames. However, error concealment cannot give satisfactory result in some cases, e.g. when a whole frame is lost. In this paper, we propose a novel backward error concealment method. While the existing temporal error concealment methods recover an erroneous...
A variety of techniques have been proposed to enhance the error robustness of the video streaming system. However, most of them improves the error resilience during compression rather than after compression. In this paper, we propose a novel transcoding based scheme called lossless inter frame transcoding (LIFT) scheme to improve the error resilience of existing compressed video stream. In the LIFT...
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