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Review of Methods to Predict Social Image Interestingness and Memorability

  • Xesca AmengualEmail author
  • Anna Bosch
  • Josep Lluís de la Rosa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9256)

Abstract

An entire industry has developed around keyword optimization for ad buyers. However, social media landscape has shift to a photo driven behavior and there is a need to overcome the challenge to analyze all this large amount of visual data that users post in 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 spontaneously in social networks. We will investigate current state-of-the-art of methods analyzing social media images and provide further research directions that could be beneficial for both, users and companies.

Keywords

Interestingness Memorability Image Video Review 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Xesca Amengual
    • 1
    Email author
  • Anna Bosch
    • 1
  • Josep Lluís de la Rosa
    • 1
  1. 1.DEEEA, Centre Easy, Agents Research LABUniversitat de GiroanGironaSpain

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