A strategy to abstract WCE video clips based on LDA
Refereed conference paper presented and published in conference proceedings

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AbstractWireless Capsule Endoscopy (WCE) is a novel technique that allows visualization of the whole gastrointestinal (GI) tract especially the small intestine in a comfortable, noninvasive and efficacious way. The main disadvantage of WCE is that physicians need to examine a video of over 55,000 frames which is a time-consuming and labor intensive task. To address the problem, a strategy of WCE video clip abstraction based on linear discriminant analysis (LDA) is proposed in this paper. We extract multiple features based on which the frame differences are measured. Then the video clips are segmented using a non-parametric key-point detection algorithm and finally the most representative frames (MRFs) are extracted based on LDA algorithm. Experimental results demonstrate the proposed strategy achieves promising performances. © 2011 IEEE.
All Author(s) ListZhao Q., Meng M.Q.-H.
Name of Conference2011 IEEE International Conference on Robotics and Automation, ICRA 2011
Start Date of Conference09/05/2011
End Date of Conference13/05/2011
Place of ConferenceShanghai
Country/Region of ConferenceChina
Detailed descriptionorganized by IEEE Robotics and Automation Society,
Pages4145 - 4150
LanguagesEnglish-United Kingdom

Last updated on 2020-12-08 at 01:39