Motion-sketch Based Video Retrieval Using a Trellis Levenshtein Distance

  • Authors:
  • Rui Hu;John Collomosse

  • Affiliations:
  • -;-

  • Venue:
  • ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
  • Year:
  • 2010

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Abstract

We present a fast technique for retrieving video clips using free-hand sketched queries. Visual keypoints within each video are detected and tracked to form short trajectories, which are clustered to form a set of space-time tokens summarising video content. A Viterbi process matches a space-time graph of tokens to a description of colour and motion extracted from the query sketch. Inaccuracies in the sketched query are ameliorated by computing path cost using a Levenshtein (edit) distance. We evaluate over datasets of sports footage.