Automatic movie skimming system with story units via general tempo analysis

Shih Hung Lee*, Chia H. Yeh, C. C.Jay Kuo

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)


A skimming system for movie content exploration is proposed using story units extracted via general tempo analysis of audio and visual data. Quite a few schemes have been proposed to segment video data into shots with low-level features, yet the grouping of shots into meaningful units, called story units here, is important and challenging. In this work, we detect similar shots using key frames and include these similar shots as a node in the scene transition graph. Then, an importance measure is calculated based on the total length of each node. Finally, we select sinks and shots according to this measure. Based on these semantic shots, a meaningful skims can be successfully generated. Simulation results will be presented to show that the proposed video skimming scheme can preserve the essential and significant content of the original video data.

Original languageEnglish
Pages (from-to)396-407
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2004
Externally publishedYes
EventStorage and Retrieval Methods and Applications for Multimedia 2004 - San Jose, CA, United States
Duration: 2004 Jan 202004 Jan 22


  • Cinema rule
  • Movie skimming
  • Story units.
  • Tempo analysis

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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