Blurry frame detection and shot segmentation in colonoscopy videos

Junghwan Oh, Sae Hwang, Wallapak Tavanapong, Piet C. De Groen, Johnny Wong

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

12 Citations (Scopus)

Abstract

Colonoscopy is an important screening procedure for colorectal cancer. During this procedure, the endoscopist visually inspects the colon. Human inspection, however, is not without error. We hypothesize that colonoscopy videos may contain additional valuable information missed by the endoscopist. Video segmentation is the first necessary step for the content-based video analysis and retrieval to provide efficient access to the important images and video segments from a large colonoscopy video database. Based on the unique characteristics of colonoscopy videos, we introduce a new scheme to detect and remove blurry frames, and segment the videos into shots based on the contents. Our experimental results show that the average precision and recall of the proposed scheme are over 90% for the detection of non-blurry images. The proposed method of blurry frame detection and shot segmentation is extensible to the videos captured from other endoscopic procedures such as upper gastrointestinal endoscopy, enteroscopy, cystoscopy, and laparoscopy.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsM.M. Yeung, R.W. Lienhart, C.-S. Li
Pages531-542
Number of pages12
Volume5307
DOIs
StatePublished - 2004
EventStorage and Retrieval Methods and Applications for Multimedia 2004 - San Jose, CA, United States
Duration: Jan 20 2004Jan 22 2004

Other

OtherStorage and Retrieval Methods and Applications for Multimedia 2004
CountryUnited States
CitySan Jose, CA
Period1/20/041/22/04

Fingerprint

Laparoscopy
Endoscopy
shot
Screening
Inspection
retrieval
inspection
screening
cancer

Keywords

  • Blurry frame detection
  • Colonoscopy video
  • Video segmentation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Oh, J., Hwang, S., Tavanapong, W., De Groen, P. C., & Wong, J. (2004). Blurry frame detection and shot segmentation in colonoscopy videos. In M. M. Yeung, R. W. Lienhart, & C-S. Li (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 5307, pp. 531-542) https://doi.org/10.1117/12.527108

Blurry frame detection and shot segmentation in colonoscopy videos. / Oh, Junghwan; Hwang, Sae; Tavanapong, Wallapak; De Groen, Piet C.; Wong, Johnny.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / M.M. Yeung; R.W. Lienhart; C.-S. Li. Vol. 5307 2004. p. 531-542.

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

Oh, J, Hwang, S, Tavanapong, W, De Groen, PC & Wong, J 2004, Blurry frame detection and shot segmentation in colonoscopy videos. in MM Yeung, RW Lienhart & C-S Li (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 5307, pp. 531-542, Storage and Retrieval Methods and Applications for Multimedia 2004, San Jose, CA, United States, 1/20/04. https://doi.org/10.1117/12.527108
Oh J, Hwang S, Tavanapong W, De Groen PC, Wong J. Blurry frame detection and shot segmentation in colonoscopy videos. In Yeung MM, Lienhart RW, Li C-S, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 5307. 2004. p. 531-542 https://doi.org/10.1117/12.527108
Oh, Junghwan ; Hwang, Sae ; Tavanapong, Wallapak ; De Groen, Piet C. ; Wong, Johnny. / Blurry frame detection and shot segmentation in colonoscopy videos. Proceedings of SPIE - The International Society for Optical Engineering. editor / M.M. Yeung ; R.W. Lienhart ; C.-S. Li. Vol. 5307 2004. pp. 531-542
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