Blurry frame detection and shot segmentation in colonoscopy videos

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

Research output: Contribution to journalConference article

12 Scopus citations

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)
Pages (from-to)531-542
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5307
DOIs
StatePublished - Dec 1 2004
EventStorage and Retrieval Methods and Applications for Multimedia 2004 - San Jose, CA, United States
Duration: Jan 20 2004Jan 22 2004

Keywords

  • Blurry frame detection
  • Colonoscopy video
  • Video segmentation

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Blurry frame detection and shot segmentation in colonoscopy videos'. Together they form a unique fingerprint.

  • Cite this