Paper
16 September 1996 Object-based very low bit rate coding with robust global motion estimation and background/foreground separation
Apostolos Saflekos, Michael G. Strintzis, Jenny Benois-Pineau, Dominique Barba
Author Affiliations +
Abstract
We present a two-step segmentation scheme for the very low bit rate coding of general purpose video scenes. Our objective is to determine the regions of interest before the actual segmentation procedure, so as to reduce the computational overhead introduced by this relatively complex process, and to avoid the phenomenon of over-segmentation of the scene. Simulation results show that the proposed scheme results in a radical reduction of the number of discrete spatio-temporal regions, while the background is identified as one uniform region, even when it is characterized by complex global motion.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Apostolos Saflekos, Michael G. Strintzis, Jenny Benois-Pineau, and Dominique Barba "Object-based very low bit rate coding with robust global motion estimation and background/foreground separation", Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); https://doi.org/10.1117/12.251297
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KEYWORDS
Image segmentation

Motion estimation

Video

Video coding

Motion models

Cameras

Image processing algorithms and systems

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