Visualizing Copyright-Protected Video Archive Content Through Similarity Search

Providing access to protected media archives can be difficult due to licensing restrictions. In this paper, an alternative way to examine video content without violating terms of use is proposed. For this purpose, keyframes of the original, archived videos are replaced with images from publicly available sources using person recognition and visual similarity search for scenes and locations.