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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
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.
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Conference papers
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https://hal.inria.fr/hal-00953840
Contributor : Marie-Christine Fauvet Connect in order to contact the contributor
Submitted on : Friday, February 28, 2014 - 4:02:13 PM
Last modification on : Wednesday, December 1, 2021 - 2:36:22 PM

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  • HAL Id : hal-00953840, version 1

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CNRS | UNIV-AMU | LIG_TDCGE | LIG | LIG_TDCGE_MRIM | LIF | LIS-LAB | UGA | LIG_SIDCH

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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. ⟨hal-00953840⟩

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