Similarity measures for parametric motion-based retrieval

نویسندگان

  • Titus Zaharia
  • Françoise Prêteux
چکیده

This paper addresses the issue of motion-based description of video contents within the framework of the future MPEG-7 standard. A family of velocity-based similarity measures (VSM) is defined, involving a generic distance function which can be specified according to the query type. VSM computation complexity, spatio-temporal alignment problems and translational and homogenous motion component weighting are the main issues addressed and solved in this paper. Experimental results, carried out on the MPEG-7 data test set objectively establish that the optimized VSM proposed here largely outperforms the classic parameter space-based similarity measures.

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تاریخ انتشار 2002