Medical video mining for efficient database indexing, management and access

Xingquan Zhu, Walid G. Aref, Jianping Fan, Ann C. Catlin, Ahmed Elmagarmid

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

22 Citations (Scopus)

Abstract

To achieve more efficient video indexing and access, we introduce a video database management framework and strategies for video content structure and events mining. The video shot segmentation and representative frame selection strategy are first utilized to parse the continuous video stream into physical units. Video shot grouping, group merging, and scene clustering schemes are then proposed to organize the video shots into a hierarchical structure using clustered scenes, scenes, groups, and shots, in increasing granularity from top to bottom. Then, audio and video processing techniques are integrated to mine event information, such as dialog, presentation and clinical operation, from the detected scenes. Finally, the acquired video content structure and events are integrated to construct a scalable video skimming tool which can be used to visualize the video content hierarchy and event information for efficient access. Experimental results are also presented to evaluate the performance of the proposed framework and algorithms.

Original languageEnglish
Title of host publicationProceedings - International Conference on Data Engineering
EditorsU. Dayal, K. Ramamritham, T.M. Vijayaraman
Pages569-580
Number of pages12
DOIs
Publication statusPublished - 1 Dec 2003
Externally publishedYes
EventNineteenth International Conference on Data Ingineering - Bangalore, India
Duration: 5 Mar 20038 Mar 2003

Other

OtherNineteenth International Conference on Data Ingineering
CountryIndia
CityBangalore
Period5/3/038/3/03

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ASJC Scopus subject areas

  • Software
  • Engineering(all)
  • Engineering (miscellaneous)

Cite this

Zhu, X., Aref, W. G., Fan, J., Catlin, A. C., & Elmagarmid, A. (2003). Medical video mining for efficient database indexing, management and access. In U. Dayal, K. Ramamritham, & T. M. Vijayaraman (Eds.), Proceedings - International Conference on Data Engineering (pp. 569-580) https://doi.org/10.1109/ICDE.2003.1260822