2.50
Hdl Handle:
http://hdl.handle.net/10547/292611
Title:
Multiview image compression using a layer-based representation
Authors:
Gelman, Andriy; Dragotti, Pier Luigi; Velisavljević, Vladan ( 0000-0001-9980-9368 )
Abstract:
The authors propose a novel compression method for multiview images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers characterized by a constant depth value. For efficient compression, the partitioned data is decorrelated using the separable three-dimensional wavelet transform across the viewpoint and spatial dimensions. The transform is modified to efficiently deal with occlusions and disparity variations for different depths. The generated transform coefficients are entropy coded. Experimental results show that our coding method is capable of outperforming the state-of-the-art algorithms, like H.264/AVC, for different data sets.
Citation:
Gelman, A., Dragotti, P. L. and Velisavljevic, V. (2010) 'Multiview image compression using a layer-based representation', 17th IEEE International Conference on Image Processing (ICIP), Hong Kong, 26-29 September. Hong Kong: IEEE, pp.493-496
Publisher:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date:
2010
URI:
http://hdl.handle.net/10547/292611
DOI:
10.1109/ICIP.2010.5651160
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5651160
Type:
Conference papers, meetings and proceedings
Language:
en
ISBN:
978-1-4244-7993-1
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorGelman, Andriyen_GB
dc.contributor.authorDragotti, Pier Luigien_GB
dc.contributor.authorVelisavljević, Vladanen_GB
dc.date.accessioned2013-05-22T11:15:14Z-
dc.date.available2013-05-22T11:15:14Z-
dc.date.issued2010-
dc.identifier.citationGelman, A., Dragotti, P. L. and Velisavljevic, V. (2010) 'Multiview image compression using a layer-based representation', 17th IEEE International Conference on Image Processing (ICIP), Hong Kong, 26-29 September. Hong Kong: IEEE, pp.493-496en_GB
dc.identifier.isbn978-1-4244-7993-1-
dc.identifier.doi10.1109/ICIP.2010.5651160-
dc.identifier.urihttp://hdl.handle.net/10547/292611-
dc.description.abstractThe authors propose a novel compression method for multiview images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers characterized by a constant depth value. For efficient compression, the partitioned data is decorrelated using the separable three-dimensional wavelet transform across the viewpoint and spatial dimensions. The transform is modified to efficiently deal with occlusions and disparity variations for different depths. The generated transform coefficients are entropy coded. Experimental results show that our coding method is capable of outperforming the state-of-the-art algorithms, like H.264/AVC, for different data sets.en_GB
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5651160en_GB
dc.subjectdata compressionen_GB
dc.subjectimage codingen_GB
dc.subjectimage representationen_GB
dc.subjectwavelet transformsen_GB
dc.titleMultiview image compression using a layer-based representationen
dc.typeConference papers, meetings and proceedingsen
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