ClassMiner: Mining medical video for scalable skimming and summarization

Xingquan Zhu*, Jianping Fan, Mohand Said Hacid, Ahmed K. Elmagarmid

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

5 Citations (Scopus)

Abstract

The ClassMiner system demonstrated a fully implemented tool for scalable video skimming and summarization. To help the user visualize the mined events information within the video, a color bar was used to represent the content structure of the video. A progress bar indicated the position of the current skimming shot among all shots of the video.

Original languageEnglish
Pages79-80
Number of pages2
Publication statusPublished - 2002
Externally publishedYes
Event10th International Conference of Multimedia - Juan les Pins, France
Duration: 1 Dec 20026 Dec 2002

Conference

Conference10th International Conference of Multimedia
Country/TerritoryFrance
CityJuan les Pins
Period1/12/026/12/02

Keywords

  • Event detection
  • Scalable skimming
  • Scene detection
  • Video data mining
  • Video summarization

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