Key frame vector and its application to shot retrieval

  • Authors:

  • Yue Gao;Jinhui Tang;Xudong Xie

  • Affiliations:

  • Tsinghua University, Beijing, China;National University of Singapore, Singapore, Singapore;Tsinghua University, Beijing, China

  • Venue:
  • IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
  • Year:
  • 2009

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Abstract

This paper proposes a video representation method named key frame vector (KFV) to support video shot retrieval. By considering temporal correlation between frames reflects the relations between visual contents of frames, and video content weighting has influence on the video comparison performance, the proposed KFV incorporates the temporal correlation and spatial relations between frames, as well as content weighting. It employs a block-based frame comparison scheme, and uses EMD to compare shots represented by KFVs. The proposed algorithm has been demonstrated to be effective in comparison with state-of-the-arts methods.