Tracking Viral Videos on YouTube: Tool Set Construction
نویسنده
چکیده
This paper documents the implementation of a tool set calculates a set of near matches of an input set of images using the colour correlogram as a feature extractor. This tool set is a subset of tools that can be used to extract common short segments of video, or visual memes, from a set of videos. The software described in this paper is able to extract features and match similar images into sets of similar images, and sits within a large more complicated process for visual meme tracking. This paper serves as a design and performance testing document, illustrating that the two command line tools created work with an extraction rate of up to 94% precision and 87% recall, matching the performance of the base algorithm this tool set is based on.
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