Assisted Video Sequences Indexing: Motion Analysis based on Interest Points

Authors:
Emmanuel Etiévent;Frank Lebourgeois;Jean-Michel Jolion
Affiliations:
-;-;-
Venue:
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Year:
1999

Citing 0
Cited 1

CLOVIS: towards precision-oriented text-based video retrieval through the unification of automatically-extracted concepts and relations of the visual and audio/speech contents

Journal of Intelligent Information Systems

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Abstract

This work deals with content-based video indexing. Our viewpoint is semi-automatic analysis of compressed video. We consider the possible applications of motion analysis and moving object detection : assisting moving object indexing, summarizing videos, and allowing image and motion queries. We propose an approach based on interest points. As first results, we test and compare the stability of different types of interest point detectors in compressed sequences from television archives.