Rate allocation for robust video streaming based on distributed video coding
Image Communication
Modeling and analysis of distortion caused by Markov-model burst packet losses in video transmission
IEEE Transactions on Circuits and Systems for Video Technology
No-reference video quality monitoring for H.264/AVC coded video
IEEE Transactions on Multimedia
Scheduling algorithms for broadcasting media with multiple distortion measures
IEEE Transactions on Wireless Communications
Optimizing motion compensated prediction for error resilient video coding
IEEE Transactions on Image Processing
Prediction of transmission distortion for wireless video communication: Algorithm and application
Journal of Visual Communication and Image Representation
Scalable video transmission: packet loss induced distortion modeling and estimation
Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video
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This paper is focused on expanding the applicability of the recursive optimal per-pixel estimate (ROPE) of end-to-end distortion, to the H.264/AVC standard. One open question involves the complexity of cross-correlation terms that appear in the case of subpixel prediction and other pixel filtering operations. Several efficient model-based solutions are proposed. Another open question involves the largely ignored effects of rounding operations, whose cumulative impact may seriously degrade the estimate accuracy. Two approaches are proposed for rounding error compensation: one appeals to the maximum entropy principle, while a low complexity alternative is based on quantization theoretic approximations. The former effectively estimates the distribution of the decoder reconstruction, thereby significantly broadening the applicability of ROPE to all additive distortion measures. Simulation results for H.264/AVC with 1/4-pel prediction show that the proposed ROPE extensions achieve fairly high estimation accuracy, while maintaining low complexity. Another set of results demonstrates the level of overall coding gains achievable by exploiting such improved end-to-end distortion estimation.