Distributed Source Coding Using Syndromes (DISCUS): Design and Construction
DCC '99 Proceedings of the Conference on Data Compression
The Distributed, Partial, And Conditional Karhunen-Loève Transforms
DCC '03 Proceedings of the Conference on Data Compression
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Data Compression of Correlated Non-Binary Sources Using Punctured Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
DCC '01 Proceedings of the Data Compression Conference
Video Coding With Superimposed Motion-Compensated Signals: Applications to H.264 and Beyond (Kluwer International Series in Engineering and Computer Science, "760)
Three-dimensional lifting schemes for motion compensated video compression
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Nested linear/lattice codes for structured multiterminal binning
IEEE Transactions on Information Theory
Distributed source coding using syndromes (DISCUS): design and construction
IEEE Transactions on Information Theory
The Distributed Karhunen–Loève Transform
IEEE Transactions on Information Theory
IEEE Transactions on Image Processing
Distributed multi-view image coding with learned dictionaries
Proceedings of the 5th International ICST Mobile Multimedia Communications Conference
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This paper discusses robust coding of visual content for a distributed multimedia system. The system encodes independently two correlated video signals and reconstructs them jointly at a central decoder. The video signals are captured from a dynamic scene, where each signal is robustly coded by amotion-compensated Haar wavelet. The efficiency of the decoder is improved by a disparity analysis of the first image pair of the sequences, followed by disparity compensation of the remaining images of one sequence. We investigate how this scene analysis at the decoder can improve the coding efficiency. At the decoder, one video signal is used as side information to decode efficiently the second video signal. Additional bitrate savings can be obtained with disparity compensation at the decoder. Further, we address the theoretical problem of distributed coding of video signals in the presence of correlated video side information. We utilize a motion-compensated spatiotemporal transform to decorrelate each video signal. For certain assumptions, the optimal motion-compensated spatiotemporal transform for video coding with video side information at high rates is derived. It is shown that the motion-compensated Haar wavelet belongs to this class of transforms. Given the correlation of the video side information, the theoretical bitrate reduction for the distributed coding scheme is investigated. Interestingly, the efficiency of multiview side information is dependent on the level of temporal decorrelation: for a given correlation SNR of the side information, bitrate savings due to side information are decreasing with improved temporal decorrelation.