Skip to search boxSkip to navigationSkip to main content

View and rate scalable multiview image coding with depth-image-based rendering

  • Swiss Federal Institute of Technology Lausanne
    ,
  • National Institute of Informatics
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

In this paper, authors propose a flexible codec and an associated bit allocation strategy to address both of these scenarios. In particular, we first present an edge-adaptive wavelet multiview image codec capable of producing a scalable bitstream from which proper subsets can be extracted and decoded at different bit-rates. Given our scalable codec, we then propose a rate allocation algorithm that performs one of the following two actions. The algorithm will either incrementally increase the number of bits for encoding texture or depth maps of already encoded viewpoints, or it will introduce into the scalable representation new texture or depth maps of previously uncoded captured viewpoints. The incremental choice of either refining an existing view or introducing a new one is carried out one layer at a time, such that the associated rate-distortion tradeoff is locally optimized. By employing our novel bit allocation strategy the proposed coder outperforms the state-of-the-art H.264/SVC codec as well as the same wavelet-based coder when armed with a simple suboptimal bit allocation with the same rate allocated to each map, in all coding scenarios studied in our experiments. Furthermore, our coder can achieve an arbitrarily fine granularity o- - f encoding bit rates, while providing the additional functionality of view embedded encoding, unlike the other related coders that we examined.

Publication Information

Output type

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

Original language

English

Publication milestones

  • Published - 29/08/2011

Publication status

Published - 29/08/2011

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781457702730

ISBN (Electronic)

9781457702730

External Publication IDs

  • handle.net: 10547/292592
  • Scopus: 80053163910

Host publication title

nan

Access to documents

Publication metrics

Metrics