An integrated approach to video retrieval

  • Authors:

  • Liang-Hua Chen;Kuo-Hao Chin;Hong-Yuan Liao

  • Affiliations:

  • Fu Jen University, Hsinchuang, Taipei, Taiwan;Fu Jen University, Hsinchuang, Taipei, Taiwan;Academia Sinica, Nankang, Taipei, Taiwan

  • Venue:
  • ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
  • Year:
  • 2008

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Abstract

The usefulness of a video database depends on whether the video of interest can be easily located. In this paper, we propose a video retrieval algorithm based on the integration of several visual cues. In contrast to key-frame based representation of shot, our approach analyzes all frames within a shot to construct a compact representation of video shot. In the video matching step, by integrating the color and motion features, a similarity measure is defined to locate the occurrence of similar video clips in the database. Therefore, our approach is able to fully exploit the spatio-temporal information contained in video. Experimental results indicate that the proposed approach is effective and outperforms some existing technique.