Hierarchical key frames extraction for WCE video

Wireless capsule endoscopy (WCE) is an advanced, patient-friendly imaging technique that enables close examination of the entire small intestine. Since it usually takes hours to review all the video data even by professional clinician, the automatic computer-aided technique is highly demanded. This...

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Bibliographic Details
Published in2013 IEEE International Conference on Mechatronics and Automation pp. 225 - 229
Main Authors Yixuan Yuan, Meng, Max Q.-H
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2013
Subjects
AP cluster
automatic threshold
Feature extraction
hierarchical key frames extraction
Histograms
Image color analysis
Indexes
Information entropy
Shape
Wireless capsule endoscopy
Wireless communication
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ISBN1467355577
9781467355575
ISSN2152-7431
DOI10.1109/ICMA.2013.6617922

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Summary:Wireless capsule endoscopy (WCE) is an advanced, patient-friendly imaging technique that enables close examination of the entire small intestine. Since it usually takes hours to review all the video data even by professional clinician, the automatic computer-aided technique is highly demanded. This paper presents a hierarchical methodology for detecting key frames in WCE images. In the first stage, we choose key frames whose changes of information entropies take the local maximum by automatic threshold to cut the images into several sub clots. Then AP clustering method is applied in each clot to extract the second stage key frames. Our method maintains the temporal information and maximizes the content distance. Experimental results demonstrate that the proposed techniques achieve inspiring performance with fidelity 0.9206 and compression ratio 0.9125 on average.
ISBN:1467355577
9781467355575
ISSN:2152-7431
DOI:10.1109/ICMA.2013.6617922