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Proceedings Paper

Fast method of segmentation and indexing MPEG1-2 flow
Author(s): Lionel Brunel; Pierre Mathieu
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Paper Abstract

Multimedia data accessibility depends on a precise indexing, involving a computational cost. This paper proposes a new fast method of segmentation and indexing in order to fill out in an automatic way several MPEG7 fields (e.g. camera and objects movement). In order to accelerate segmentation process, we exploit most of the information contained in MPEG1-2 flow; the decompression is restricted to entropic decoding and inverse quantization, the estimation of the camera movement is obtained from MPEG1-2 motion prediction. Segmentation in homogeneous color zones is obtained by a "split and merge" algorithm improved by a B-Splines active contour segmentation regularization.

Paper Details

Date Published: 23 June 2003
PDF: 10 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503129
Show Author Affiliations
Lionel Brunel, I3S Lab.-CNRS (France)
Univ. de Nice Sophia-Antipolis (France)
Pierre Mathieu, I3S Lab.-CNRS (France)
Univ. de Nice Sophia-Antipolis (France)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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