Wireless capsule endoscopy (WCE) is medical examination process for gastrointestinal tract (GIT). This noninvasive multi advantageous procedure can be made more popular by overcoming the problem of prolonged analysis time. Video summarization is a concise and meaningful representation of a video. Along with automated detection and segmentation methods, summarized video will serve as an additional source for confirming the analysis of WCE video before the final diagnosis without any dropouts. Nowadays, Internet of Things (IoT) environments are predominant in healthcare sectors. Considering limited resources of smart phones and long duration of WCE process, it is impractical to send all the WCE data to health-care centers or gastroenterologists. This paper reviews video summarization types and the techniques used for WCE video summarization by various researchers. Feature set selection, clustering methods and key frame selection techniques play important role in performance of summarization technique.
DOI : 10.1051/e3sconf/202017003005
ISSN: 2267-1242 Cilt: 170 Sayfa: 03005