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Content Provider | IEEE Xplore Digital Library |
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Author | Yanan Fu Haiying Liu Yu Cheng Tingfang Yan Teng Li Meng, M.Q. |
Copyright Year | 2012 |
Description | Author affiliation: Department of Electronic Engineering, The Chinese University of Hong Kong, China (Meng, M.Q.) || Department of Control Science and Engineering, Shandong University, Jinan, 250061, China (Yanan Fu; Haiying Liu; Yu Cheng; Tingfang Yan; Teng Li) |
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. |
Starting Page | 5030 |
Ending Page | 5034 |
File Size | 179748 |
Page Count | 5 |
File Format | |
ISBN | 9781467313971 |
e-ISBN | 9781467313988 |
DOI | 10.1109/WCICA.2012.6359431 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-07-06 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image color analysis Feature extraction Histograms Hemorrhaging Endoscopes Intestines Shape key-frame Wireless capsule endoscopy shot detection |
Content Type | Text |
Resource Type | Article |
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