内窥镜视频检索:一种基于特征的内窥镜图像与视频片段链接方法

C. Beecks, Klaus Schöffmann, M. Lux, M. S. Uysal, T. Seidl
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引用次数: 21

摘要

在医学内窥镜领域,越来越多的外科医生开始将手术和检查等内窥镜过程的视频记录和存储在长期视频档案中。为了支持外科医生以基于内容的方式访问这些内窥镜视频档案,我们提出了一种简单而有效的基于签名的方法:基于自适应分组特征签名的签名匹配距离。所提出的基于距离的相似性模型促进了内窥镜图像视觉属性的自适应表示,并允许有效地匹配这些属性。我们对连接特定内窥镜图像与视频片段的任务进行了广泛的性能分析,并显示了我们方法的高效率。我们能够将超过88%的内窥镜图像链接到相应的正确视频片段,这将目前的技术水平提高了一个数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Endoscopic Video Retrieval: A Signature-Based Approach for Linking Endoscopic Images with Video Segments
In the field of medical endoscopy more and more surgeons are changing over to record and store videos of their endoscopic procedures, such as surgeries and examinations, in long-term video archives. In order to support surgeons in accessing these endoscopic video archives in a content-based way, we propose a simple yet effective signature-based approach: the Signature Matching Distance based on adaptive-binning feature signatures. The proposed distance-based similarity model facilitates an adaptive representation of the visual properties of endoscopic images and allows for matching these properties efficiently. We conduct an extensive performance analysis with respect to the task of linking specific endoscopic images with video segments and show the high efficacy of our approach. We are able to link more than 88% of the endoscopic images to their corresponding correct video segments, which improves the current state of the art by one order of magnitude.
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