DocumentCode :
2314951
Title :
Key-frame selection in WCE video based on shot detection
Author :
Fu, Yanan ; Liu, Haiying ; Cheng, Yu ; Yan, Tingfang ; Li, Teng ; Meng, Max Q -H
Author_Institution :
Dept. of Control Sci. & Eng., Shandong Univ., Jinan, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
5030
Lastpage :
5034
Abstract :
Wireless Capsule Endoscopy (WCE) is an imaging technology that enables close examination of the interior of the entire small intestine. A major problem associated with this new technology is that a large number of images need to be manually examined by clinicians. It is therefore useful to automatically reduce the number of frames that need direct interpretation by a clinician. In this paper a technique based on shot detection method is presented for automatic key-frame selection in WCE videos. The frames in the small intestine zone containing relevant features are extracted from the video sequence as the key-frames. Experimental results show that the proposed key-frame selection techniques significantly reduce the number of frames that need to be directly viewed by clinicians, and speed up the diagnosis procedures.
Keywords :
biological organs; endoscopes; feature extraction; image sequences; medical image processing; patient diagnosis; video signal processing; WCE video; automatic key-frame selection; clinician; diagnosis procedure; feature extraction; image examination; image interpretation; imaging technology; shot detection method; small intestine interior examination; small intestine zone; video sequence; wireless capsule endoscopy; Endoscopes; Feature extraction; Hemorrhaging; Histograms; Image color analysis; Intestines; Shape; Wireless capsule endoscopy; key-frame; shot detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6359431
Filename :
6359431
Link To Document :
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