Video-similarity search based on mixture distributions

Seiji Hotta, Kohei Inoue, Kiichi Urahama

Research output: Contribution to journalArticle

Abstract

A method is described for searching for videos similar to a query. The video frames are segmented into shots by clustering consecutive frames based on their color histograms. Segmentation performance is improved by adding temporal information to the color data. Videos are represented by their temporal distribution of the colors, and the distance between videos is estimated based on the effort needed to transform one distribution into another. The distance is used to search videos similar to a query. The search is speeded up by using a filtering method based on the inequalities in distances. Testing of the method showed that the performance of the similarity search is improved by incorporating the temporal information.

Original languageEnglish
Pages (from-to)836-841
Number of pages6
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume56
Issue number5
DOIs
Publication statusPublished - May 2002

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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