Robust Predictive Coding and the Wyner-Ziv Problem
DCC '03 Proceedings of the Conference on Data Compression
Drift reduction in predictive video transmission using a distributed source coded side-channel
Proceedings of the 12th annual ACM international conference on Multimedia
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
Video compression for lossy packet networks with mode switching and a dual-frame buffer
IEEE Transactions on Image Processing
Rate allocation for robust video streaming based on distributed video coding
Image Communication
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The Recursive Optimal per-Pixel Estimate (ROPE) algorithm allows the encoder to estimate the pixel-by-pixel expected distortion of the decoded video sequence due to channel loss. The algorithm requires in input an estimate of the packet loss rate and the knowledge of the error concealment technique used at the decoder with no need to perform any comparison between original and decoded frames. Although the ROPE algorithm computes the expected distortion in the pixel domain, in some applications it is important to have access to the expected distortion in the DCT domain, e.g., for an accurate allocation of the redundancy bits in error-resiliency schemes. This paper presents the extension of the ROPE algorithm in the transform DCT domain that allows estimating the expected distortion of the decoded video sequence for each DCT coefficient.