Production model based digital video segmentation
Multimedia Tools and Applications
Determining computable scenes in films and their structures using audio-visual memory models
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
New enhancements to cut, fade, and dissolve detection processes in video segmentation
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape feature matching for trademark image retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Computer-aided tumor detection in endoscopic video using color wavelet features
IEEE Transactions on Information Technology in Biomedicine
Mining colonoscopy videos to measure quality of colonoscopic procedures
BIEN '07 Proceedings of the fifth IASTED International Conference: biomedical engineering
Arthemis: Annotation software in an integrated capturing and analysis system for colonoscopy
Computer Methods and Programs in Biomedicine
Automatic segmentation and inpainting of specular highlights for endoscopic imaging
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
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Colonoscopy is an important screening tool for colorectal cancer. During a colonoscopic procedure, a tiny video camera at the tip of the endoscope generates a video signal of the internal mucosa of the colon. The video data are displayed on a monitor for real-time analysis by the endoscopist. We call videos captured from colonoscopic procedures colonoscopy videos. Because these videos possess unique characteristics, new types of semantic units and parsing techniques are required. In this paper, we define new semantic units called operation shots, each is a segment of visual and audio data that correspond to a therapeutic or biopsy operation. We introduce a new spatio-temporal analysis technique to detect operation shots. Our experiments on colonoscopy videos demonstrate that the technique does not miss any meaningful operation shots and incurs a small number of false operation shots. Our prototype parsing software implements the operation shot detection technique along with our other techniques previously developed for colonoscopy videos. Our browsing tool enables users to quickly locate operation shots of interest. The proposed technique and software are useful (1) for post-procedure reviews and analyses for causes of complications due to biopsy or therapeutic operations, (2) for developing an effective content-based retrieval system for colonoscopy videos to facilitate endoscopic research and education, and (3) for development of a systematic approach to assess endoscopists' procedural skills.