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Proceedings Paper

Multiview image coding with depth maps and 3D geometry for prediction
Author(s): Marcus Magnor; Peter Eisert; Bernd Girod
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Paper Abstract

Block-based disparity compensation is an efficient prediction scheme for encoding multi-view image data. Available scene geometry can be used to further enhance prediction accuracy. In this paper, three different strategies are compared that combine prediction based on depth maps and 3-D geometry. Three real-world image sets are used to examine prediction performance for different coding scenarios. Depth maps and geometry models are derived from the calibrated image data. Bit-rate reductions up to 10% are observed by suitably augmenting depth map-based with geometry-based prediction.

Paper Details

Date Published: 29 December 2000
PDF: 9 pages
Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411804
Show Author Affiliations
Marcus Magnor, Friedrich-Alexander Univ. Erlangen-Nuremberg (Germany)
Peter Eisert, Friedrich-Alexander Univ. Erlangen-Nuremberg (United States)
Bernd Girod, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 4310:
Visual Communications and Image Processing 2001
Bernd Girod; Charles A. Bouman; Eckehard G. Steinbach, Editor(s)

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