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METHOD FOR REAL-TIME SELECTION OF KEY FRAMES WHEN MINING WIRELESS DISTRIBUTED VIDEO CODING

机译:挖掘无线分布式视频编码时关键帧的实时选择方法

摘要

The present invention relates to a method for the real-time selection of key frames when mining wireless distributed video coding, including the steps: constructing an incremental curve of inter-frame features: acquiring a video sequence, and extracting the global and local features of the images; using the colour features of the images as an indicator to measure the global features of the images; using feature points as local features of the images; and on the basis of the global features and the local features of the images, calculating the overall feature similarity of the images; on the basis of the overall feature similarity of the images, constructing an incremental curve of the inter-frame feature differences: using the frame number as the abscissa and the cumulative value of the inter-frame overall feature similarity of the images as the ordinate, plotting an incremental curve of the inter-frame feature differences of the images; and after obtaining the incremental curve of the inter-frame feature differences, using a key frame real-time selection algorithm to implement rapid adaptive selection of key frames. The present invention enables the rapid and low-complexity reflection of dynamic changes in monitored image content, effectively solving the problem of real-time selection of key frames when mining wireless distributed video coding.
机译:本发明涉及一种在挖掘无线分布式视频编码时实时选择关键帧的方法,包括以下步骤:构造帧间特征的增量曲线:获取视频序列,以及提取帧的全局和局部特征。图像;以图片的色彩特征为指标来衡量图片的整体特征;使用特征点作为图像的局部特征;根据图像的全局特征和局部特征,计算图像的整体特征相似度;基于图像的整体特征相似度,构建帧间特征差异的增量曲线:以帧数为横坐标,以图像的帧间整体特征相似度的累加值为纵坐标,绘制图像的帧间特征差异的增量曲线;在获得帧间特征差异的增量曲线后,采用关键帧实时选择算法实现关键帧的快速自适应选择。本发明使得能够快速且低复杂度地反映所监视的图像内容中的动态变化,从而有效地解决了在挖掘无线分布式视频编码时实时选择关键帧的问题。

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