Shot boundary detection in video is one of the key stages of video data processing. A new method for shot boundary detection based on several video features, such as color histograms and object boundaries, has been proposed. The developed algorithm was tested on the open BBC Planet Earth [1] and RAI [2] datasets, and the MSU CC datasets, based on videos used in the video codec comparison conducted at MSU, as well as videos from the IBM set, were also plotted. The total dataset for algorithm development and testing exceeded the known TRECVID datasets. Based on the test results, the proposed algorithm for scene change detection outperformed its counterparts with a final F-score of 0.9794.
翻译：视频中拍摄的边界探测是视频数据处理的关键阶段之一。提出了基于色直方图和物体边界等若干视频特征的射击边界探测新方法。开发的算法在开放的BBC地球[1]和RAI[2]数据集上进行了测试,根据在MSU进行的视频编码比较中使用的视频和来自IBM集的视频,还绘制了MSU CC数据集。算法开发和测试的总数据集超过了已知的TRECVID数据集。根据测试结果,拟议的场景变化探测算法比对应方的F类数据集多0.9794。
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