1 November 1991 Estimation and prediction of object-oriented segmentation for video predictive coding
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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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergio C. Brofferio, Sergio C. Brofferio, Domenico Comunale, Domenico Comunale, Stefano Tubaro, Stefano Tubaro, } "Estimation and prediction of object-oriented segmentation for video predictive coding", Proc. SPIE 1605, Visual Communications and Image Processing '91: Visual Communication, (1 November 1991); doi: 10.1117/12.50230; https://doi.org/10.1117/12.50230

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