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Proceedings Paper

Semantic segmentation of videophone image sequences
Author(s): Peter J. L. van Beek; Marcel J. T. Reinders; Bulent Sankur; Jan C. A. van der Lubbe
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Paper Abstract

A system for segmentation of head-and-shoulder scenes into semantic regions, to be applied in a model-based coding scheme on video telephony, is described. The system is conceptually divided into three levels of processing and uses successive semantic regions of interest to locate the speaker, the face and the eyes automatically. Once candidate regions have been obtained by the low level segmentation modules, higher level modules perform measurements on these regions and compare these with expected values to extract the specific region searched for. Fuzzy membership functions are used to allow deviations from the expected values. The system is able to locate satisfactorily the facial region and the eye regions.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131389
Show Author Affiliations
Peter J. L. van Beek, Delft Univ. of Technology (Netherlands)
Marcel J. T. Reinders, Delft Univ. of Technology (Netherlands)
Bulent Sankur, Delft Univ. of Technology (Netherlands)
Jan C. A. van der Lubbe, Delft Univ. of Technology (Netherlands)

Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

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