ICRA 2011 Paper Abstract


Paper WeP207.6

ZHAO, Qian (The Chinese University of Hong Kong), Meng, Max Q.-H. (The Chinese University of Hong Kong)

A Strategy to Abstract WCE Video Clips Based on LDA

Scheduled for presentation during the Regular Sessions "Micro-Nano Robots and Applications to Life Science" (WeP207), Wednesday, May 11, 2011, 16:40−16:55, Room 5B

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on July 14, 2020

Keywords Recognition, Medical Robots and Systems, Computer Vision for Robotics and Automation


Wireless Capsule Endoscopy (WCE) is a novel technique that allows visualization of the whole gastrointestinal (GI) tract especially the small intestine in a comfortable, non-invasive 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.



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