Elements of information theory
Elements of information theory
Wireless Communications
Joint Source-Channel Rate-Distortion Optimization for H.264 Video Coding Over Error-Prone Networks
IEEE Transactions on Multimedia
A temporal error concealment method for H.264/AVC using motion vector recovery
IEEE Transactions on Consumer Electronics
Video coding with optimal inter/intra-mode switching for packet loss resilience
IEEE Journal on Selected Areas in Communications
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
The Efficiency of Motion-Compensating Prediction for Hybrid Coding of Video Sequences
IEEE Journal on Selected Areas in Communications
Rate control in DCT video coding for low-delay communications
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
H.264/AVC in wireless environments
IEEE Transactions on Circuits and Systems for Video Technology
Rate-distortion analysis for H.264/AVC video coding and its application to rate control
IEEE Transactions on Circuits and Systems for Video Technology
Modeling of transmission-loss-induced distortion in decoded video
IEEE Transactions on Circuits and Systems for Video Technology
Enhanced Error Concealment With Mode Selection
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we develop algorithms for estimating transmission distortion in wireless video communication systems. By leveraging the analytical results obtained in our previous works, we design low complexity algorithms that are capable of estimating transmission distortion accurately. We also extend our algorithm for pixel-level transmission distortion estimation to pixel-level end-to-end distortion estimation. Furthermore, we apply our pixel-level end-to-end distortion estimation algorithm to prediction mode decision in H.264 encoder. Experimental results show that (1) our transmission distortion estimation algorithm is more accurate and more robust against inaccurate channel estimation than existing distortion estimation algorithms; (2) our mode decision algorithm achieves remarkable PSNR gain over the existing algorithms for prediction mode decision in H.264 encoder, e.g., an average PSNR gain of 1.44dB for 'foreman' sequence when Packet Error Probability (PEP) equals 5%.