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Interactive multiview image coding

dc.contributor.authorGelman, Andriyen_GB
dc.contributor.authorDragotti, Pier Luigien_GB
dc.contributor.authorVelisavljević, Vladanen_GB
dc.date.accessioned2013-05-21T14:45:20Z
dc.date.available2013-05-21T14:45:20Z
dc.date.issued2011
dc.identifier.citationGelman, A., Dragotti, P.L. and Velisavljevic, V. (2011) 'Interactive multiview image coding', 18th IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 11-14 September. Brussels: IEEE, pp.601-604.en_GB
dc.identifier.isbn9781457713026
dc.identifier.doi10.1109/ICIP.2011.6116622
dc.identifier.urihttp://hdl.handle.net/10547/292589
dc.description.abstractThe authors propose a novel multiview compression method for multiview images. The algorithm supports random access for interactive applications and has low storage requirements. The fundamental component of the method is the layer-based representation, which partitions the dataset into redundant layers characterized by a constant depth value. We exploit the redundant property of each layer and remove the side information uncertainty using Distributed Source Coding (DSC) principles. In comparison to independent coding, our method achieves a PSNR improvement of 3dB. Furthermore, we present a rate-distortion (RD) analysis which demonstrates that the proposed algorithm can achieve a better performance in comparison to independent coding.
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6116622en_GB
dc.subjectimage codingen_GB
dc.subjectimage representationen_GB
dc.subjectrate distortion theoryen_GB
dc.titleInteractive multiview image codingen
dc.typeConference papers, meetings and proceedingsen
html.description.abstractThe authors propose a novel multiview compression method for multiview images. The algorithm supports random access for interactive applications and has low storage requirements. The fundamental component of the method is the layer-based representation, which partitions the dataset into redundant layers characterized by a constant depth value. We exploit the redundant property of each layer and remove the side information uncertainty using Distributed Source Coding (DSC) principles. In comparison to independent coding, our method achieves a PSNR improvement of 3dB. Furthermore, we present a rate-distortion (RD) analysis which demonstrates that the proposed algorithm can achieve a better performance in comparison to independent coding.


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