Comparison of several image features for WCE video abstract

The direct view of the inner tract of the small intestine is not feasible until a recently revolutionary imaging technology, wireless capsule endoscopy (WCE), appeared in 2001. However, interpretation of the produced video data for the digestive tract on each patient is left to naked eyes of medical staffs. Such a process is very tedious and time-consuming with the average inspection time about two hours for a whole WCE video. To overcome this big problem, automatic WCE video analysis is required. In this paper, we propose a comparative study of several image based features that may be suitable for WCE video abstract, which may be a good candidate to reduce the burden of physicians. Color, texture and motion features built from images are investigated and compared to show their performance in representing video content for a WCE video abstract. Preliminary experimental results of these features for WCE video abstract are also demonstrated and discussed. It is found that textural and motion features may be suitable candidates for visual frame depiction for WCE video abstract in terms of visual content representation and compression ratio. Clinical validation of our work remains to be implemented in the near future.