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dc.contributor.authorTillo T
dc.contributor.authorPenna B
dc.contributor.authorFrossard P
dc.contributor.authorVandergheynstt P
dc.contributor.editor
dc.date.accessioned2018-05-17T12:29:51Z
dc.date.available2018-05-17T12:29:51Z
dc.date.issued2006
dc.identifier.isbn0-7803-9288-4
dc.identifier.urihttp://dx.doi.org/10.1109/MMSP.2005.248618
dc.identifier.urihttp://ieeexplore.ieee.org/abstract/document/4014039/
dc.identifier.urihttp://hdl.handle.net/10863/4662
dc.description.abstractThis work addresses the coding of 3-dimensional scenes, as captured by distributed vision sensors with catadioptric cameras. Spherical images allow for avoiding distortion due to the common euclidian assumption in the representation of the plenoptic function. We consider here low complexity encoding of the sensor outputs, in a framework where the cameras could be placed anywhere in the scene, and where the sensors do not communicate to each other. Since multiple spherical images of the same scene most probably provide a redundant representation, we propose to have different compression ratios for different cameras, in order to reduce the overhead of information. The decoder performs a joint decoding of the multiples images, by motion estimation, and joint refinement by consistent inverse quantization. It is finally shown that, even in the absence of any information about the scene or the position of the cameras, the proposed scheme offers improved performance with respect to an independent encoding of the spherical images, especially at low coding rate.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights
dc.titleDistributed coding of spherical images with jointly refined decodingen_US
dc.typeBook chapteren_US
dc.date.updated2018-05-15T12:08:13Z
dc.publication.title2005 IEEE 7th Workshop on Multimedia Signal Processing
dc.language.isiEN-GB
dc.description.fulltextopenen_US


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