视频中的场景变化检测(移动摄像机) [英] scene change detection in video (moving cameras)

问题描述

我有一堆缝合在一起的视频，其中包含各种剪辑.剪辑来自移动的摄像机，尽管在剪辑过程中主体和背景相同，并且剪辑之间的过渡通常很快速，并且没有标记.我想将视频剪辑到尽可能接近原始状态.

I have a bunch of videos with various clips,stitched together. The clips are from moving cameras, although has the same subject and background for the duration of the clip, and often the transition between clips is fast and has no markers. I want to clip the videos as close as possible to the original state.

检测视频场景变化的算法/方法有哪些?我正在尝试使用帧减法，但是肯定有更复杂的方法.

what algorithms/approaches work for detecting scene changes in videos? I am trying to use frame subtraction approaches, but surely there are more sophisticated approaches.

p.s.我正在寻找更传统的机器视觉方法(相对于深度学习)

p.s. I am looking for more traditional machine vision approaches (vs. deep learning)

推荐答案

我最终使用了此处描述的场景检测算法. http://pyscenedetect.readthedocs.io/en/latest/

I ended up using scene detection algorithm described here. http://pyscenedetect.readthedocs.io/en/latest/

希望这对某人有帮助.

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