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Proceedings Paper

Integrated estimation of 2D motion field and image segmentation for videophone coding
Author(s): Sergio C. Brofferio; Anna Morpurgo; Massimo Vailati
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Paper Abstract

The paper investigates the capabilities of a novel 2D motion estimation and object-background segmentation algorithm to be used for low bit rate videophone compression. The algorithm is based on a model of the image inspired by the work of Geman and Geman [GG84]. Observable are three frames, the previous, the current, and the successive ones, and the edges of the current frame. The algorithm tries to minimize a global cost function, depending on local displacement and segmentation values, whose minimum corresponds to the desired displacement and segmentation fields. The performances of the algorithm have been measured on the total residual error and on the ratio of the final to initial costs. The algorithm has been tested on artificial and natural image sequences and the preliminary experimental results have been satisfactory, confirming the validity of the model and showing a perceivable improvement over block matching. Moreover the algorithm is suitable for distributed parallel processing.

Paper Details

Date Published: 17 February 1995
PDF: 8 pages
Proc. SPIE 2451, Advanced Image and Video Communications and Storage Technologies, (17 February 1995); doi: 10.1117/12.201191
Show Author Affiliations
Sergio C. Brofferio, Politecnico di Milano (Italy)
Anna Morpurgo, Ctr. di Studio per le Telecomunicazioni Spaziali del CNR and Univ. di Milano (Italy)
Massimo Vailati, Politecnico di Milano (Italy)

Published in SPIE Proceedings Vol. 2451:
Advanced Image and Video Communications and Storage Technologies
Naohisa Ohta; Heinz U. Lemke; Jean Claude Lehureau, Editor(s)

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