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SIGIR
2009
ACM

Automatic video tagging using content redundancy

13 years 10 months ago
Automatic video tagging using content redundancy
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. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous; H.3.5 [Information Systems]: INFORMATION STORAGE AND RETRIEVAL—On-line Information S...
Stefan Siersdorfer, José San Pedro, Mark Sa
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where SIGIR
Authors Stefan Siersdorfer, José San Pedro, Mark Sanderson
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