Multiview image coding with depth maps and 3D geometry for prediction

Marcus Magnor; Peter Eisert; Bernd Girod

doi:10.1117/12.411804

29 December 2000 Multiview image coding with depth maps and 3D geometry for prediction

Marcus Magnor, Peter Eisert, Bernd Girod

Proceedings Volume 4310, Visual Communications and Image Processing 2001; (2000) https://doi.org/10.1117/12.411804
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Marcus Magnor, Peter Eisert, and Bernd Girod "Multiview image coding with depth maps and 3D geometry for prediction", Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); https://doi.org/10.1117/12.411804

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