Department of Informatics and Computer Technology, Technological Educational Institute of Lamia, Greece.
Comput Med Imaging Graph. 2010 Sep;34(6):471-8. doi: 10.1016/j.compmedimag.2009.11.005. Epub 2009 Dec 6.
The screening of the small intestine has become painless and easy with wireless capsule endoscopy (WCE) that is a revolutionary, relatively non-invasive imaging technique performed by a wireless swallowable endoscopic capsule transmitting thousands of video frames per examination. The average time required for the visual inspection of a full 8-h WCE video ranges from 45 to 120min, depending on the experience of the examiner. In this paper, we propose a novel approach to WCE reading time reduction by unsupervised mining of video frames. The proposed methodology is based on a data reduction algorithm which is applied according to a novel scheme for the extraction of representative video frames from a full length WCE video. It can be used either as a video summarization or as a video bookmarking tool, providing the comparative advantage of being general, unbounded by the finiteness of a training set. The number of frames extracted is controlled by a parameter that can be tuned automatically. Comprehensive experiments on real WCE videos indicate that a significant reduction in the reading times is feasible. In the case of the WCE videos used this reduction reached 85% without any loss of abnormalities.
无线胶囊内镜 (WCE) 使得小肠筛查变得无痛且轻松，这是一种革命性的、相对非侵入性的成像技术，通过无线可吞咽内镜胶囊进行，每次检查可传输数千个视频帧。全面检查 8 小时 WCE 视频所需的平均时间范围为 45 到 120 分钟，具体取决于检查者的经验。在本文中，我们通过对视频帧进行无监督挖掘来提出一种减少 WCE 阅读时间的新方法。该方法基于一种数据缩减算法，该算法根据一种从全长 WCE 视频中提取代表性视频帧的新方案来应用。它可以用作视频摘要或视频书签工具，具有不受训练集有限性限制的通用优势。提取的帧数由一个可自动调整的参数控制。对真实 WCE 视频的综合实验表明，减少阅读时间是可行的。在使用的 WCE 视频中，这种减少达到了 85%，而不会遗漏任何异常。
