IMOTION - A Content-Based Video Retrieval Engine

نویسندگان

  • Luca Rossetto
  • Ivan Giangreco
  • Heiko Schuldt
  • Stéphane Dupont
  • Omar Seddati
  • T. Metin Sezgin
  • Yusuf Sahillioglu
چکیده

This paper introduces the IMOTION system, a contentbased video retrieval engine, which is our proposed contribution for the 2015 Video Search Showcase. IMOTION is based on the Cineast system and was originally designed as a sketch-based video retrieval engine supporting multiple query paradigms. For the Video Search Showcase, it has been extended by dedicated motion features to allow for the specification of motion within a video sequence. For vector space retrieval, the IMOTION system exploits a large variety of low-level image and video features, as well as high-level spatial and temporal features that can all be jointly used in any combination. Thus, the IMOTION system supports query-by-sketch interactions (users provide sketches of video frames), motion queries (users specify motion across frames via partial flow fields), query-by-example (based on images) and any combination of these, and provides support for relevance feedback.

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تاریخ انتشار 2015