Interactive multiview image coding

We 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 char...

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Bibliographic Details
Published in2011 18th IEEE International Conference on Image Processing pp. 601 - 604
Main Authors Gelman, Andriy, Dragotti, Pier Luigi, Velisavljevic, Vladan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Algorithm design and analysis
Bit rate
Data models
Image coding
Servers
Signal processing algorithms
Transforms
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Summary:We 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.
ISBN:1457713047
9781457713040
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2011.6116622