Paper Info
Title
Review Of Methods To Predict Social Image Interestingness And Memorability
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.
Year
DOI
Venue
2015
10.1007/978-3-319-23192-1_6
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2015, PT I
Keywords
Field
DocType
Interestingness, Memorability, Image, Video, Review
Data science,Social network,Social media,Pattern recognition,Computer science,Artificial intelligence,Social image,The Internet
Conference
Volume
ISSN
Citations 
9256
0302-9743
2
PageRank 
References 
Authors
0.38
13
3
Name
Order
Citations
PageRank
Xesca Amengual120.38
Anna Bosch220.38
Josep Lluís De La Rosa326041.38