Automatic cut and camera operation detection for video

N. Hirzalla, A. Karmouch
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引用次数: 8

Abstract

Video should be segmented into shots to be used for identification and indexing. Various changes may happen within a single shot such as those related to camera operations, object movements, flashes, etc. Various similarities between different shots may also occur. Therefore, techniques based on interframe comparisons may result in detecting false cuts or missing true cuts if the appropriate threshold has not been chosen. In this paper, we propose a detection algorithm that understands and detects various changes within a shot in order to detect the cuts between separate shots.
自动切割和摄像机操作检测视频
视频应分割成镜头,用于识别和索引。在一个镜头中可能会发生各种变化,例如与相机操作,物体运动,闪光灯等有关的变化。不同镜头之间也可能出现各种相似之处。因此,如果没有选择合适的阈值,基于帧间比较的技术可能会检测到假切割或遗漏真切割。在本文中,我们提出了一种检测算法,该算法可以理解和检测镜头内的各种变化,以检测不同镜头之间的剪切。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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