Motion and disparity estimation using rate-distortion theory for very low bit rate and multiview image sequence coding

Dimitrios Tzovaras; Michael G. Strintzis

doi:10.1117/12.263247

10 January 1997 Motion and disparity estimation using rate-distortion theory for very low bit rate and multiview image sequence coding

Dimitrios Tzovaras, Michael G. Strintzis

Author Affiliations +

Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263247
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

A rate-distortion framework is used to define a displacement vector-field estimation technique for use in video coding. This technique achieves maximum reconstructed image quality under the constraint of a target bitrate for the coding of the vector sequence. Use of this technique is evaluated for two application areas in which the need for high compression of displacement vector fields in particularly acute. The first is motion-field coding for very low bit rate image sequence transmission as in videophone applications. The second application area is coding for the transmission of disparity fields. This is needed for the generation at the receiver of intermediate viewpoints through spatial interpolation. It is also needed in a number of other applications requiring accurate depth knowledge, including 3D medical data transmission and transmission of scenes to be postprocessed using depth-keyed segmentation. Experimental results illustrating the performance of the proposed technique in these application areas are presented and evaluated.

Citation Download Citation

Dimitrios Tzovaras and Michael G. Strintzis "Motion and disparity estimation using rate-distortion theory for very low bit rate and multiview image sequence coding", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263247

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