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ECIR
2008
Springer

Video Corpus Annotation Using Active Learning

8 years 12 months ago
Video Corpus Annotation Using Active Learning
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.
Stéphane Ayache, Georges Quénot
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ECIR
Authors Stéphane Ayache, Georges Quénot
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