Paper
19 April 2000 Motion-based segmentation for object-based video coding and indexing
Bertrand Chupeau, Edouard Francois
Author Affiliations +
Abstract
A 'region-based' approach to the problem of motion estimation and segmentation in video sequences is presented. The devised algorithm requires an initial still-picture partition and a dense optical flow: affine region motion parameters are robustly estimated from pixel motion vectors on color- homogenous regions, which are further merged on a motion- homogeneity criterion, and temporally tracked. Computer simulation results and comparisons with other approaches are given. Applications to object-based representation, manipulation and coding as well as indexing of video are discussed
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bertrand Chupeau and Edouard Francois "Motion-based segmentation for object-based video coding and indexing", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.383024
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KEYWORDS
Image segmentation

Motion estimation

Video

Video coding

Optical flow

Motion models

Detection and tracking algorithms

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