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The LIGVID System for Video Retrieval and Concept Annotation

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 permitted to show the effectiveness of our system.
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https://hal.inria.fr/hal-00953841
Contributor : Marie-Christine Fauvet <>
Submitted on : Friday, February 28, 2014 - 4:02:14 PM
Last modification on : Tuesday, December 8, 2020 - 10:42:35 AM

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  • HAL Id : hal-00953841, version 1

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Stéphane Ayache, Georges Quénot, Andy Tseng. The LIGVID System for Video Retrieval and Concept Annotation. 8th International workshop on Content-Based Multimedia Indexing (demo session), 2010, Grenoble, France. ⟨hal-00953841⟩

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