Estimation and prediction of object-oriented segmentation for video predictive coding

Sergio C. Brofferio; Domenico Comunale; Stefano Tubaro

doi:10.1117/12.50230

1 November 1991 Estimation and prediction of object-oriented segmentation for video predictive coding

Sergio C. Brofferio, Domenico Comunale, Stefano Tubaro

Proceedings Volume 1605, Visual Communications and Image Processing '91: Visual Communication; (1991) https://doi.org/10.1117/12.50230
Event: Visual Communications, '91, 1991, Boston, MA, United States

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.

Citation Download Citation

Sergio C. Brofferio, Domenico Comunale, and 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); https://doi.org/10.1117/12.50230

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available