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Michel Silva

2 accepted papers

2020

Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data

CVPR 2020poster

The rapid increase in the amount of published visual data and the limited time of users bring the demand for processing untrimmed videos to produce shorter versions that convey the same information. Despite the remarkable progress that has been made by summarization methods, most of them can only se…

Cited by 7PDFcodeScholar
2018

A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos

CVPR 2018poster

Thanks to the advances in the technology of low-cost digital cameras and the popularity of the self-recording culture, the amount of visual data on the Internet is going to the opposite side of the available time and patience of the users. Thus, most of the uploaded videos are doomed to be forgotten…