My submission to SIGIR 2009 has been accepted as a full paper. The article, entitled “Automatic Video Tagging using Content Redundancy”, proposes an interesting approach to the exploitation of redundant content in folksonomies. We consider the specific case of the leading video sharing website, YouTube. CBCR techniques are used to automatically detect duplication in the video collection, and several metadata propagation methods are proposed to spread community knowledge around the graph of resources.
The abstract of the paper follows below:
“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.”