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Proceedings Paper

Estimation and prediction of object-oriented segmentation for video predictive coding
Author(s): Sergio C. Brofferio; Domenico Comunale; Stefano Tubaro
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Paper Abstract

The research proposes a simple finite state image model for estimating video sequence motion field, background memory updating and luminance prediction. The model allows object-oriented segmentation utilizing a fuzzy state (New-Scene) so that state transitions diagrams, modeling the physical constraints can be defined both for image segmentation and for luminance prediction. Preliminary results for integrated image segmentation and displacement fields estimations are presented. The proposed algorithm allows the implementation of video coding schemes where only structural prediction errors have to be transmitted, when physical motion coherence is plausible, and which is suited for completely parallel distributed processing.

Paper Details

Date Published: 1 November 1991
PDF: 11 pages
Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); doi: 10.1117/12.50230
Show Author Affiliations
Sergio C. Brofferio, Politecnico di Milano (Italy)
Domenico Comunale, Univ. di Bari (Italy)
Stefano Tubaro, Politecnico di Milano (Italy)

Published in SPIE Proceedings Vol. 1605:
Visual Communications and Image Processing '91: Visual Communication
Kou-Hu Tzou; Toshio Koga, Editor(s)

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