Totally asynchronous Slepian-Wolf data compression
IEEE Transactions on Information Theory
Catadioptric Projective Geometry
International Journal of Computer Vision
Distributed Source Coding: Symmetric Rates and Applications to Sensor Networks
DCC '00 Proceedings of the Conference on Data Compression
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
A Theory of Catadioptric Image Formation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Design of Slepian-Wolf Codes by Channel Code Partitioning
DCC '04 Proceedings of the Conference on Data Compression
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Dense disparity estimation from omnidirectional images
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Successive refinement for the Wyner-Ziv problem and layered code design
IEEE Transactions on Signal Processing - Part II
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
Nested linear/lattice codes for structured multiterminal binning
IEEE Transactions on Information Theory
The rate-distortion function for source coding with side information at the decoder
IEEE Transactions on Information Theory
Distributed source coding using syndromes (DISCUS): design and construction
IEEE Transactions on Information Theory
Layered Wyner–Ziv Video Coding
IEEE Transactions on Image Processing
PRISM: A Video Coding Paradigm With Motion Estimation at the Decoder
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 presents a distributed coding scheme for the representation of 3D scenes captured by a pair of omnidirectional cameras with equivalent computational resources and transmission capabilities. The images are captured at different viewpoints and are encoded independently. A joint decoder exploits the correlation between images for improved decoding quality. The distributed coding is built on the multi-resolution representation of spherical images, whose information is split into two partitions. The encoder then transmits one partition after entropy coding, as well as the syndrome bits resulting from the channel encoding of the other partition. The joint decoder exploits the intra-view correlation by predicting one partition from the other partition. At the same time, it exploits the inter-view correlation using block-based disparity estimation between images from different cameras. Experiments demonstrate that the distributed coding solution performs better than a scheme where images are handled independently. Furthermore, the coding rate stays balanced between the different cameras, which permits to avoid hierarchical relations between vision sensors in camera networks.