A Unified Approach to Shot Change Detection and Camera Motion Characterization

Patrick Bouthemy 1 Marc Gelgon 1 Fabrice Ganansia 1
1 TEMIS - Advanced Image Sequence Processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
Abstract : This paper describes an original approach which jointly addresses two fundamental issues of video partitioning which represent the early important stage of any content-based video indexing system. These two issues are the detection of shot changes, and the labeling of the shot configuration related to the camera movement in terms of static shot, panning, traveling, zooming,... They are both derived from the computation, at each time instant, of the dominant motion in the image represented by a 2D affine model, and from the variation of the size of its associated support. The successive steps of the method rely on statistical techniques ensuring robustness and efficiency. In particular, it can cope with scenes containing moving objects. Results on a real documentary video are reported and validate the proposed approach.
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Rapport
[Research Report] RR-3304, INRIA. 1997
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https://hal.inria.fr/inria-00077215
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Soumis le : lundi 29 mai 2006 - 17:36:45
Dernière modification le : jeudi 11 janvier 2018 - 06:20:10
Document(s) archivé(s) le : lundi 5 avril 2010 - 21:46:07

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Patrick Bouthemy, Marc Gelgon, Fabrice Ganansia. A Unified Approach to Shot Change Detection and Camera Motion Characterization. [Research Report] RR-3304, INRIA. 1997. 〈inria-00077215〉

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