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Proceedings Paper

Knowledge-based videotelephone sequence segmentation
Author(s): Manuel Menezes de Sequeira; Fernando Manuel Ber Pereira
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Paper Abstract

This paper presents a robust knowledge-based segmentation algorithm for videotelephony sequences ranging from studio based to mobile. It is able to divide each image in a sequence in non-overlapping head, body, and background areas. Its robustness stems from its ability to cope with the peculiarities of mobile sequences, having very detailed, moving backgrounds as well as strong camera movements (originating from vibration in car videotelephones or from small hand movements in hand-held videotelephones). The proposed algorithm uses edge and changed areas (due to speaker's motion) detection, as well as the redundancy associated to the speaker's position, as the basis for the segmentation. Geometrical knowledge-based techniques are then used to define the complete regions. The algorithm includes a quality estimation and control procedure, which enables it to decide whether to accept or reject the current segmentation, and which can be input to the videotelephone coder.

Paper Details

Date Published: 22 October 1993
PDF: 12 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.158002
Show Author Affiliations
Manuel Menezes de Sequeira, Instituto Superior Tecnico (Portugal)
Fernando Manuel Ber Pereira, Instituto Superior Tecnico (Portugal)

Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

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