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Optimal rate allocation for view synthesis along a continuous viewpoint location in multiview imaging

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

Abstract

The authors consider the scenario of view synthesis via depth-image based rendering in multi-view imaging. We formulate a resource allocation problem of jointly assigning an optimal number of bits to compressed texture and depth images such that the maximum distortion of a synthesized view over a continuum of viewpoints between two encoded reference views is minimized, for a given bit budget. We construct simple yet accurate image models that characterize the pixel values at similar depths as first-order Gaussian auto-regressive processes. Based on our models, we derive an optimization procedure that numerically solves the formulated min-max problem using Lagrange relaxation. Through simulations we show that, for two captured views scenario, our optimization provides a significant gain (up to 2dB) in quality of the synthesized views for the same overall bit rate over a heuristic quantization that selects only two quantizers - one for the encoded texture images and the other for the depth images.

Publication Information

Output type

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

Original language

English

Publication milestones

  • Published - 28/01/2011

Publication status

Published - 28/01/2011

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

ISBN (Print)

9781424471348

ISBN (Electronic)

9781424471348

Publication IDs

  • handle.net: 10547/292597
  • Scopus: 79951790812

Host publication title

nan

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