The CPR model for summarizing video

M. Fayzullin, V. S. Subrahmanian, A. Picariello, M. L. Sapino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

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, must be continuous and non-repetitive. An optimal summary is one that maximizes an objective function based on these three parameters. We develop formal definitions of all these concepts and provide algorithms to find optimal summaries. We briefly report on the performance of these algorithms.

Original languageEnglish (US)
Title of host publicationMMDB 2003
Subtitle of host publicationProceedings of the First ACM International Workshop on Multimedia Databases
PublisherAssociation for Computing Machinery
Pages2-9
Number of pages8
ISBN (Print)1581137265, 9781581137262
DOIs
StatePublished - 2003
Externally publishedYes
EventMMDB 2003: Proceedings of the First ACM International Workshop on Multimedia Databases - New Orleans, LA, United States
Duration: Nov 7 2003Nov 7 2003

Publication series

NameMMDB 2003: Proceedings of the First ACM International Workshop on Multimedia Databases

Conference

ConferenceMMDB 2003: Proceedings of the First ACM International Workshop on Multimedia Databases
Country/TerritoryUnited States
CityNew Orleans, LA
Period11/7/0311/7/03

Keywords

  • Multimedia
  • Summarization
  • Video

ASJC Scopus subject areas

  • General Engineering

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