The CPR model for summarizing video

Marat Fayzullin, V. S. Subrahmanian, Antonio Picariello, Maria Luisa Sapino

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


Most past work on video summarization has been based on selecting key frames from videos. We propose a model of video summarization based on three important parameters: Priority (of frames), Continuity (of the summary), and non-Repetition (of the summary). In short, a summary must include high priority frames and must be continuous and non-repetitive. An optimal summary is one that maximizes an objective function based on these three parameters. We show examples of how CPR parameters can be computed and provide algorithms to find optimal summaries based on the CPR approach. Finally, we briefly report on the performance of these algorithms.

Original languageEnglish (US)
Pages (from-to)153-173
Number of pages21
JournalMultimedia Tools and Applications
Issue number2
StatePublished - Jun 2005
Externally publishedYes


  • Algorithms
  • Databases
  • Framework
  • Multimedia
  • Summarization
  • Video

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications


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