论文标题
基于运动的视频解析的弱监督，并应用于结肠镜检查
Motion-Based Weak Supervision for Video Parsing with Application to Colonoscopy
论文作者
论文摘要
我们提出了一种两阶段的无监督方法，将视频解析为阶段。我们使用运动提示将视频分为粗段。然后，使用嘈杂的片段标签来弱监督基于外观的分类器。我们显示了结肠镜检查视频中相位检测方法的有效性。
We propose a two-stage unsupervised approach for parsing videos into phases. We use motion cues to divide the video into coarse segments. Noisy segment labels are then used to weakly supervise an appearance-based classifier. We show the effectiveness of the method for phase detection in colonoscopy videos.
