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Conference papers

Video Corpus Annotation using Active Learning

Stéphane Ayache 1 Georges Quénot 1
1 MRIM [?-2015] - Modélisation et Recherche d’Information Multimédia [Grenoble] [?-2015]
LIG [2007-2015] - Laboratoire d'Informatique de Grenoble [2007-2015]
Abstract : Concept indexing in multimedia libraries is very useful for users searching and browsing but it is a very challenging research problem as well. Beyond the systems' implementations issues, semantic indexing is strongly dependent upon the size and quality of the training examples. In this paper, we describe the collaborative annotation system used to annotate the High Level Features (HLF) in the development set of TRECVID 2007. This system is web-based and takes advantage of Active Learning approach. We show that Active Learning allows simultaneously getting the most useful information from the partial annotation and significantly reducing the annotation effort per participant relatively to previous collaborative annotations.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01089795
Contributor : Marie-Christine Fauvet <>
Submitted on : Tuesday, December 2, 2014 - 2:10:46 PM
Last modification on : Friday, July 17, 2020 - 11:10:28 AM

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  • HAL Id : hal-01089795, version 1

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Stéphane Ayache, Georges Quénot. Video Corpus Annotation using Active Learning. European Conference on Information Retrieval (ECIR), 2008, Glasgow, United Kingdom. ⟨hal-01089795⟩

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