DocumentCode
3645065
Title
Interactive multiview image coding
Author
Andriy Gelman;Pier Luigi Dragotti;Vladan Velisavljević
Author_Institution
Communications and Signal Processing Group, Imperial College, London, UK
fYear
2011
Firstpage
601
Lastpage
604
Abstract
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.
Keywords
"Image coding","Signal processing algorithms","Bit rate","Transforms","Servers","Algorithm design and analysis","Data models"
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Type
conf
DOI
10.1109/ICIP.2011.6116622
Filename
6116622
Link To Document