The LIGVID System for Video Retrieval and Concept Annotation

Stéphane Ayache 1 Georges Quénot 2 Andy Tseng
1 LIF - Laboratoire d'informatique Fondamentale de Marseille - UMR 6166
2 MRIM - Modélisation et Recherche d’Information Multimédia [Grenoble]
LIG - Laboratoire d'Informatique de Grenoble, Inria - Institut National de Recherche en Informatique et en Automatique
Abstract : The LIGVID system is designed for online interactive video shots retrieval and annotation. It uses a user-controlled combination of multiple criteria: keywords, phonetic string, similarity to example images, semantic categories, and relevance feedback strategies: visual and temporal similarity to already identified positive images. In addition to Relevance Feedback processes, the system runs in background an active learning algorithm to better model the user's information need. Previous participation to video retrieval challenges has permit to show the effectiveness of our system.
keyword : multi-criteria search Video retrieval multi-criteria search.
Type de document :
Communication dans un congrès
11th ACM SIGMM International Conference on Multimedia Information Retrieval (demo session), 2010, Philadelphia, Pennsylvania, United States. ACM, 2010
Liste complète des métadonnées
https://hal.inria.fr/hal-00953840
Contributeur : Marie-Christine Fauvet <>
Soumis le : vendredi 28 février 2014 - 16:02:13
Dernière modification le : mardi 24 avril 2018 - 13:29:33

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  • HAL Id : hal-00953840, version 1

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UNIV-AMU | LIG | LIG_TDCGE_MRIM | LIG_TDCGE | UGA | LIF | INRIA | LIG_SRCPR | LIS-LAB

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Stéphane Ayache, Georges Quénot, Andy Tseng. The LIGVID System for Video Retrieval and Concept Annotation. 11th ACM SIGMM International Conference on Multimedia Information Retrieval (demo session), 2010, Philadelphia, Pennsylvania, United States. ACM, 2010. 〈hal-00953840〉

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