A motion-flow-based fast video retrieval system

  • Authors:

  • Chih-Wen Su;Hong-Yuan Mark Liao;Kuo-Chin Fan

  • Affiliations:

  • National Central University, Taiwan;Academia Sinica, Taiwan;National Central University, Taiwan

  • Venue:
  • Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
  • Year:
  • 2005

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Abstract

In this paper, we propose the use of motion vectors embedded in MPEG bitstreams to generate so-called "motion-flows", which are applied them to perform quick video retrieval. By using the motion vectors directly, we do not need to consider the shape of a moving object and its corresponding trajectory. Instead, we simply "link" the local motion vectors across consecutive video frames to form motion flows, which are then annotated and stored in a video database. In the video retrieval phase, we propose a coarse-to-fine strategy to execute the video retrieval task. Motions that do not belong to the main-stream motion flows are filtered out by our proposed algorithm. The retrieval process can be triggered by query-by-sketch (QBS) or query-by-example (QBE). The experiment results show that our method is indeed efficient and accurate in the video retrieval process.