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How to Measure Memorability and Social Interestingness of Images: A Review

Research paper by Xesca Amengual, Anna Bosch, Josep Lluís de la Rosa

Indexed on: 13 Sep '16Published on: 14 Jun '16Published in: International Journal of Pattern Recognition and Artificial Intelligence



Abstract

International Journal of Pattern Recognition and Artificial Intelligence, Ahead of Print. An entire industry has been developed around keyword optimization for buyers of advertising space. However, the social media landscape has shifted to photo-driven behaviors, and there is a need to overcome the challenge of analyzing the large amount of visual data that users post on the internet. We will address this analysis by providing a review on how to measure image and video interestingness and memorability from content that is tacked in real time on social networks. We will investigate state-of-the-art methods that are used to analyze social media images and present experiments that were performed to obtain comparable results based on the studied proposals and to determine which are the best characteristics and classifiers. Finally, we will discuss future research directions that could be beneficial to both users and companies.