Paper Info
Title
Interactive multiview image coding
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.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6116622
Image Processing
Keywords
Field
DocType
image coding,image representation,rate distortion theory,source coding,PSNR improvement,constant depth value,distributed source coding principles,interactive multiview image coding,layer-based representation,multiview compression method,rate-distortion analysis,redundant layers,side information uncertainty
Data modeling,Computer vision,Algorithm design,Pattern recognition,Source code,Computer science,Server,Coding (social sciences),Artificial intelligence,Distributed source coding,Rate–distortion theory,Random access
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4577-1302-6
978-1-4577-1302-6
2
PageRank 
References 
Authors
0.36
7
3
Name
Order
Citations
PageRank
Andriy Gelman1222.28
Dragotti, P.L.251239.29
Vladan Velisavljevic326323.62