inproceedings by Giulia Fontanini
Hundreds of hours of videos are uploaded every minute on YouTube and other video sharing sites: s... more Hundreds of hours of videos are uploaded every minute on YouTube and other video sharing sites: some will be viewed by millions of people and other will go unnoticed by all but the uploader. In this paper we propose to use visual sentiment and content features to predict the popularity of web videos. The proposed approach outperforms current state-of-the-art methods on two publicly available datasets.
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inproceedings by Giulia Fontanini