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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Languages: English
Types: Other
Subjects: Z665
The recent increase of online video has challenged the research in the field of video information retrieval. Video search engines are becoming more and more interactive, helping the user to easily find what he or she is looking for. In this poster, we present a new approach of using an iterative clustering algorithm on text and visual features to simulate users creating new facets in a facet-based interface. Our experimental results prove the usefulness of such an approach.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] F. Hopfgartner and J. Jose. Evaluating the Implicit Feedback Models for Adaptive Video Retrieval. In ACM MIR '07 - 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, Augsburg, Germany, pages 323-332, 09 2007.
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