Name
Abstract | ||
|---|---|---|
Wireless Capsule Endoscopy (WCE) is a technical break-through that allows to produce a video of the entire intestine without surgery. It is reported that a medical clinician spends one or two hours to assess a WCE video. It is hence useful to help the physician to do analysis diagnosis using computerized methods. In this paper an algorithmic information-theroretic method is presented for the automatic summarization of meaningful changes in video sequences extracted from WCE videos. To segment a WCE video into anatomic parts (esophagus, stomach, small intestine, colon) we use a textons-based method. The local textons histogram sequence is used for image representation and the Normalized Compression Distance (NCD) measure is used to compute the similarity between images. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICPR.2010.1020 | ICPR |
Keywords | Field | DocType |
small intestine,video signal processing,medical clinician,image coding,endoscopes,wireless capsule endoscopy,entire intestine,wirelesse capsule endoscopy,wce video summarization,ncd,information theory,computerized method,analysis diagnosis,algorithmic information-theroretic method,normalized compression distance,textons-based method,patient diagnosis,medical image processing,textons,video sequence,wce video,compression algorithms,entropy,dictionaries,automatic summarization,histograms,visualization | Information theory,Computer vision,Histogram,Automatic summarization,Pattern recognition,Computer science,Visualization,Image representation,Normalized compression distance,Artificial intelligence,Capsule endoscopy,Data compression | Conference |
ISSN | ISBN | Citations |
1051-4651 | 978-1-4244-7542-1 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. Gallo | 1 | 223 | 20.06 |
| Eliana Granata | 2 | 3 | 1.20 |
| Alessandro Torrisi | 3 | 6 | 1.49 |