SLAM 2015, ACM Multimedia 2015, Workshop on Speech, Language and Audio in Multimedia, October 30, 2015, Brisbane, Australia
Multimedia content produced on a daily basis and in constantly growing quantity by professionals and individual users, requires creation of navigation systems that allow access to this data on di erent levels of granularity in order to contribute to further discovery of a topic of interest for the user or to facilitate individual user browsing within a collection. In this paper we describe our approach to enable users to browse through the multimedia collection. We implement the hyperlinking approach that uses the ne-grained
segmentation of the visual content based on the scene segmentation, as well as available metadata, transcripts, and information about extracted visual concepts. The approach was tested at the MediaEval Search and Hyperlinking 2014 evaluation task, where it has shown its effectiveness at locating accurately relevant content in a large media archive.
Type:
Conference
City:
Brisbane
Date:
2015-10-26
Department:
Data Science
Eurecom Ref:
4690
Copyright:
© ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in SLAM 2015, ACM Multimedia 2015, Workshop on Speech, Language and Audio in Multimedia, October 30, 2015, Brisbane, Australia http://dx.doi.org/10.1145/2802558.2814647
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