"GIF interestingness" database

GIF interestingness database

This is a collection of 2739 GIFs and their annotations which was used in the following paper:

M. Gygli, M. Soleymani, Analyzing and Predicting GIF Interestingness, ACM Multimedia, 2016, Amsterdam, the Netherlands..

This GIFs in this database are a subest of Video2GIF database and Tumblr database from the following work:
Michael Gygli, Yale Song, Liangliang Cao, Video2GIF: Automatic Generation of Animated GIFs from Video, IEEE CVPR 2016.
Saeideh Bakhshi, David Shamma, Lyndon Kennedy, Yale Song, Paloma de Juan, Joseph 'Jofish' Kaye. "Fast, Cheap, and Good: Why Animated GIFs Engage Us. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA, USA, May 7-12, 2016.
We acknowledge the support this research recevied from the Swiss National Science Foundation through Soleymani's Ambizione grant and Swiss NCCR Affective Sciences

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