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Schoeffmann, Klaus; Hopfgartner, Frank (2015)
Languages: English
Types: Other
Subjects:
With an increasing amount of video data in our daily life, the need for content-based search in videos increases as well. Though a lot of research has been spent on video retrieval tools and methods which allow for automatic search in videos through content-based queries, still the performance of automatic video retrieval is far from optimal. In this tutorial we discussed (i) proposed solutions for improved video content navigation, (ii) typical interaction of content-based querying features, and (iii) advanced video content visualization methods. Moreover, we discussed interactive video search systems and ways to evaluate their performance.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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