Ghent University-iMinds at MediaEval 2013: An Unsupervised Named Entity-based Similarity Measure for Search and Hyperlinking
نویسندگان
چکیده
In this paper, we describe our approach to the Search and Hyperlinking task at the MediaEval 2013 benchmark. This task focuses on video retrieval and linking in the context of a large and rich dataset provided by the BBC. Our approach makes use of one of three types of audio transcripts, enriched with Named Entities. To compute similarity, we adapt the Jaccard metric to use Named Entities. This results in an unsupervised and computationally inexpensive way of searching and linking multimedia content.
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