A framework for parsing colonoscopy videos for semantic units

Yu Cao, Wallapak Tavanapong, Kihwan Kim, Johnny Wong, Jung Hwan Oh, Piet C. De Groen

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

12 Scopus citations

Abstract

Colonoscopy is an important screening procedure for colorectal cancer. During this procedure, the endoscopist visually inspects the colon. Currently, there is no content-based analysis and retrieval system that automatically analyzes videos captured from colonoscopic procedures and provides a user-friendly and efficient access to important content. Such a system will be valuable for endoscopic research and education. The first necessary step for the analysis is parsing for semantic units. Since the characteristics of colonoscopy videos differ from those of videos studied in the literature, we introduce a new video parsing framework that includes (i) a new scene definition and a new video parsing paradigm and (ii) a novel scene segmentation algorithm using audio analysis and finite state automata to recognize scenes and associated boundaries. Our experimental results show average precision and recall of 95% and 81 % for parsing scenes, respectively. The framework is extensible to videos captured from other endoscopic procedures such as upper gastrointestinal endoscopy, enteroscopy, cystoscopy, and laparoscopy.

Original languageEnglish (US)
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages1879-1882
Number of pages4
StatePublished - 2004
Event2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, Province of China
Duration: Jun 27 2004Jun 30 2004

Publication series

Name2004 IEEE International Conference on Multimedia and Expo (ICME)
Volume3

Other

Other2004 IEEE International Conference on Multimedia and Expo (ICME)
CountryTaiwan, Province of China
CityTaipei
Period6/27/046/30/04

Keywords

  • Content-based analysis
  • Medical image processing
  • Scene segmentation

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'A framework for parsing colonoscopy videos for semantic units'. Together they form a unique fingerprint.

  • Cite this

    Cao, Y., Tavanapong, W., Kim, K., Wong, J., Oh, J. H., & De Groen, P. C. (2004). A framework for parsing colonoscopy videos for semantic units. In 2004 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1879-1882). (2004 IEEE International Conference on Multimedia and Expo (ICME); Vol. 3).