Elements of information theory
Elements of information theory
Joint source-channel coding for scalable video using models of rate-distortion functions
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Robust image and video transmission over spectrally shaped channelsusing multicarrier modulation
IEEE Transactions on Multimedia
Tradeoff between source and channel coding
IEEE Transactions on Information Theory
Rate control for robust video transmission over burst-error wireless channels
IEEE Journal on Selected Areas in Communications
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
Bit allocation for joint source/channel coding of scalable video
IEEE Transactions on Image Processing
A mathematical analysis of the DCT coefficient distributions for images
IEEE Transactions on Image Processing
A new rate control scheme using quadratic rate distortion model
IEEE Transactions on Circuits and Systems for Video Technology
Source model for transform video coder and its application. I. Fundamental theory
IEEE Transactions on Circuits and Systems for Video Technology
Rate control in DCT video coding for low-delay communications
IEEE Transactions on Circuits and Systems for Video Technology
Rate-distortion optimized layered coding with unequal error protection for robust Internet video
IEEE Transactions on Circuits and Systems for Video Technology
Robust image transmission with bidirectional synchronization and hierarchical error correction
IEEE Transactions on Circuits and Systems for Video Technology
Pilot-assisted 16-level QAM for wireless video
IEEE Transactions on Circuits and Systems for Video Technology
Cross-layer optimization for SVC video delivery over the IEEE 802.11e wireless networks
Journal of Visual Communication and Image Representation
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A robust video communication system based on layered coding and unequal error protection is developed in this work. We consider two video communication scenarios. First, for pre-compressed video bitstreams, a channel code rate allocation scheme is proposed to minimize the expected mean square error subject to a constraint on the overall bit budget. Second, for real-time video transmission, we jointly optimize the quantization parameters and the channel coding rates according to channel conditions. To this end, we develop a simple rate-distortion model for general video coders using DCT and motion compensation, so that the rate and the distortion can be estimated without an expensive encoding procedure. Simulation results show that the proposed algorithms provide acceptable image quality even in high bit error rate environments.