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Multi-frame Dimensionality-Reduction Difference Method for Extracting Key Frames of Video

机译:提取视频关键帧的多维降维差分法

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Key frame extraction is very important for video data processing. This paper mainly studies how to extract the key frames of the video data when transforming the medical action video data into image data, so as to process and mine the medical action video data with image processing technology in the later period. Because of the difference of the doctor for some special action concerns, the existing algorithm of key frames can not extract the important frames selected by the doctors exactly, so this paper will review the traditional method to extract key frames, and use a new method of key frame extraction (multi-frame dimensionality-reduction difference method) to extract the key actions that clinical doctors pay attention to. Compared with the traditional method, this method can extract the frame image concerned by the doctor better.
机译:关键帧提取对于视频数据处理非常重要。本文主要研究如何将医学动作视频数据转换为图像数据时提取视频数据的关键帧,以便在后期利用图像处理技术对医学动作视频数据进行处理和挖掘。由于医生在某些特殊动作方面的差异,现有的关键帧算法无法准确提取医生选择的重要帧,因此本文将回顾传统的关键帧提取方法,并采用一种新的方法来提取关键帧。关键帧提取(多帧降维差分法)提取临床医生应注意的关键动作。与传统方法相比,该方法可以更好地提取医生关注的帧图像。

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