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VideoSET: Video Summary Evaluation through Text
[article]
2014
arXiv
pre-print
In this paper we present VideoSET, a method for Video Summary Evaluation through Text that can evaluate how well a video summary is able to retain the semantic information contained in its original video. We observe that semantics is most easily expressed in words, and develop a text-based approach for the evaluation. Given a video summary, a text representation of the video summary is first generated, and an NLP-based metric is then used to measure its semantic distance to ground-truth text
arXiv:1406.5824v1
fatcat:yq6qeq7abzhgpcwqxxtufl74qi