Video scenes clustering based on representative shots

J. Ye, J.L. Li, Cheuk Ming Mak

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Clustering of video data is an important issue in video abstraction, browsing and retrieval. Movie is a kind of complex video with rich content. As for the movie, however, clustering is more complicated than other types of videos like surveillance, sport games, and documentaries. In this paper, we propose a novel shot clustering algorithm combing the editing feature of the movie and the criteria of choosing representative shots. The simulated experiment results demonstrate the effectiveness of our method for the dialogue-dominated movie.
Original languageEnglish
Pages (from-to)111-116
Number of pages6
JournalWorld Journal of Modelling and Simulation
Issue number2
Publication statusPublished - 2005


  • Shot clustering
  • Representative shot
  • Editing feature
  • Color and edge retrieval

ASJC Scopus subject areas

  • General Engineering
  • Modelling and Simulation


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