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Comprehensive Video Understanding: Video summarization with content-based video recommender design
[article]
2019
arXiv
pre-print
Video summarization aims to extract keyframes/shots from a long video. Previous methods mainly take diversity and representativeness of generated summaries as prior knowledge in algorithm design. In this paper, we formulate video summarization as a content-based recommender problem, which should distill the most useful content from a long video for users who suffer from information overload. A scalable deep neural network is proposed on predicting if one video segment is a useful segment for
arXiv:1910.13888v1
fatcat:sb2dm3x7szf6tcvoymcrsq2ezu