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Automatic Video Tagging using Content Redundancy

Siersdorfer, S., San Pedro, J. and Sanderson, M. (2009) Automatic Video Tagging using Content Redundancy. In: The 32nd Annual ACM SIGIR Conference, July 19-23 2009, Boston, Massachusetts, USA.

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Abstract

The analysis of the leading social video sharing platform YouTube reveals a high amount of redundancy, in the form of videos with overlapping or duplicated content. In this paper, we show that this redundancy can provide useful information about connections between videos. We reveal these links using robust content-based video analysis techniques and exploit them for generating new tag assignments. To this end, we propose different tag propagation methods for automatically obtaining richer video annotations. Our techniques provide the user with additional information about videos, and lead to enhanced feature representations for applications such as automatic data organization and search. Experiments on video clustering and classification as well as a user evaluation demonstrate the viability of our approach.

Item Type: Conference or Workshop Item (Paper)
Copyright, Publisher and Additional Information: To appear in Proceedings of ACM SIGIR, 2009. © ACM, 2009. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
Keywords: video duplicates, content-based links, automatic tagging, neighbor-based tagging, tag propagation, data organization
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Mark Sanderson
Date Deposited: 21 Jul 2009 10:50
Last Modified: 08 Feb 2013 16:58
Status: Published
Refereed: Yes
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/9009

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