用于演讲视频编辑的手势跟踪和识别

Feng Wang, C. Ngo, T. Pong
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引用次数: 25

摘要

提出了一种基于手势驱动的视频编辑方法。给定一个讲座视频,我们采用新颖的方法来自动检测其内容并将其与电子幻灯片同步。然后,每个同步主题(或镜头)中的手势被连续跟踪和识别。通过记录镜头和幻灯片并恢复它们的转换,就可以知道手势发生的区域。基于识别的手势及其注册位置,可以无缝地提取幻灯片中的信息,不仅可以辅助视频编辑,还可以提高原始讲座视频的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gesture tracking and recognition for lecture video editing
This paper presents a gesture based driven approach for video editing. Given a lecture video, we adopt novel approaches to automatically detect and synchronize its content with electronic slides. The gestures in each synchronized topic (or shot) are then tracked and recognized continuously. By registering shots and slides and recovering their transformation, the regions where the gestures take place can be known. Based on the recognized gestures and their registered positions, the information in slides can be seamlessly extracted, not only to assist video editing, but also to enhance the quality of original lecture video.
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