Skip to search boxSkip to navigationSkip to main content

Interactive multiview image coding

  • Imperial College London
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

The 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.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 01/01/2011

Publication status

Published - 01/01/2011

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781457713026

ISBN (Electronic)

9781457713026

External Publication IDs

  • handle.net: 10547/292589
  • Scopus: 84856279928

Host publication title

nan

Access to documents

Publication metrics

Metrics