Rate distortion when side information may be absent
IEEE Transactions on Information Theory
Video Processing and Communications
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DCC '99 Proceedings of the Conference on Data Compression
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The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
Duality between source coding and channel coding and its extension to the side information case
IEEE Transactions on Information Theory
On successive refinement for the Wyner-Ziv problem
IEEE Transactions on Information Theory
On universal quantization by randomized uniform/lattice quantizers
IEEE Transactions on Information Theory - Part 2
The Efficiency of Motion-Compensating Prediction for Hybrid Coding of Video Sequences
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Layered Wyner–Ziv Video Coding
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PRISM: A Video Coding Paradigm With Motion Estimation at the Decoder
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Modified one-bit transform for motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
A hierarchical N-Queen decimation lattice and hardware architecture for motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Wyner–Ziv Switching Scheme for Multiple Bit-Rate Video Streaming
IEEE Transactions on Circuits and Systems for Video Technology
Wyner–Ziv-Based Multiview Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Compensating for motion estimation inaccuracies in DVC
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
Progressively refined wyner-ziv video coding for visual sensors
ACM Transactions on Sensor Networks (TOSN)
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Wyner-Ziv coding enables low complexity video encoding with the motion estimation procedure shifted to the decoder. However, the accuracy of decoder motion estimation is often low, due to the absence of the input source frame (at the decoder). In this paper, we propose a novel Wyner-Ziv successive refinement approach to improve the motion compensation accuracy and the overall compression efficiency of Wyner-Ziv video coding. Our approach encodes each frame by multiple Wyner-Ziv coding layers and uses the progressively refined reconstruction frame to guide the motion estimation for progressively improved accuracy. The proposed approach yields competitive results against state-of-the-art low complexity Wyner-Ziv video coding approaches, and can gain up to 3.8dB over the conventional Wyner-Ziv video coding approach and up to 1.5dB over the previous bitplane-based refinement approach. Furthermore, this paper also presents the rate distortion analysis and the performance comparison of the proposed approach and conventional approaches. The rate distortion performance loss (due to performing decoder motion estimation) is at most 2.17dB (or equivalently 14nats/pixel) in our scheme according to our analysis, but can be more than 6dB in the conventional approach according to previous research. For the simplified two-layers case of our approach, we derive the optimal subsampling ratio in the sense of rate distortion performance. We also extend our analysis and conclusions from P frame to B frame. Finally, we verify our analysis by experimental results.