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Scene Segmentation and Image Feature Extraction for Video Indexing and Retrieval

Patrick Bouthemy 1 Christophe Garcia 2 Rémi Ronfard 3, * Georges Tziritas 2 Emmanuel Veneau 3 Didier Zugaj 1
* Corresponding author
1 VISTA - Vision spatio-temporelle et active
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We present a video analysis and indexing engine, that can perform fully automatic scene segmentation and feature extraction, in the context of a television archive. A template-based indexing engine is proposed, which interacts with a general-purpose video analysis server (providing spatio-temporal segmentation, feature extraction, feature clustering and feature matching services) and a template server (which provides tool settings, scripts and interpretation rules for specific program).
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https://hal.inria.fr/inria-00590110
Contributor : Team Perception <>
Submitted on : Tuesday, May 3, 2011 - 9:22:01 AM
Last modification on : Wednesday, June 16, 2021 - 3:42:17 AM
Long-term archiving on: : Thursday, August 4, 2011 - 2:55:04 AM

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Patrick Bouthemy, Christophe Garcia, Rémi Ronfard, Georges Tziritas, Emmanuel Veneau, et al.. Scene Segmentation and Image Feature Extraction for Video Indexing and Retrieval. 3d International Conference on Visual Information Systems (VISUAL'99), Jun 1999, Amsterdam, Netherlands. pp.245--253, ⟨10.1007/3-540-48762-X_31⟩. ⟨inria-00590110⟩

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