Paper Info
Title
How To Measure Memorability And Social Interestingness Of Images: A Review
Abstract
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.
Year
DOI
Venue
2017
10.1142/S0218001417540040
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Interestingness, memorability, image, video, social networks, review
Data science,Social network,Social media,Computer science,Artificial intelligence,Multimedia,Machine learning,The Internet
Journal
Volume
Issue
ISSN
31
2
0218-0014
Citations 
PageRank 
References 
0
0.34
28
Authors
3
Name
Order
Citations
PageRank
Xesca Amengual100.34
Anna Bosch200.34
Josep Lluís De La Rosa326041.38