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Spatio temporal key-point detection and video representation in 3D complex wavelet domain

机译:3D复数小波域中的时空关键点检测和视频表示

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摘要

Technology advances in information technology has been evolving for a long time. With this, the need for effective retrieval of video data has increased manifold. In this paper, we propose spatio temporal key-point based approach for content based video retrieval (CBVR). The proposed framework characterizes videos based on spatio temporal key-points. Most of the existing approaches extract key-points from static video frames, while little work has been done on spatio-temporal key-points. We present a new spatio temporal key-point detector and descriptor using 3D complex wavelet transform. Detected key-points are converted to spatio temporal features to represent videos. Results of empirical analysis are provided to substantiate the retrieving capability of the proposed framework.
机译:信息技术的技术进步已经发展了很长时间。因此,有效检索视频数据的需求增加了。在本文中,我们提出了基于时空关键点的基于内容的视频检索(CBVR)方法。所提出的框架基于时空关键点来表征视频。现有的大多数方法都是从静态视频帧中提取关键点,而在时空关键点上所做的工作很少。我们提出了一种使用3D复数小波变换的新型时空关键点检测器和描述符。检测到的关键点将转换为时空特征以表示视频。提供了实证分析的结果,以证实所提出框架的检索能力。

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