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

被引:5
|
作者
Amengual, Xesca [1 ]
Bosch, Anna [2 ]
Lluis de la Rosa, Josep [1 ]
机构
[1] Univ Girona, Vicorob Inst, Agents Res Lab, TECNIO,Ctr Easy, Campus Montilivi,Ed P-4 Av Lluis Santalo Sn, Girona 17071, Spain
[2] Blue Room Innovat, TECNIO, Vicorob Inst & Social Currencies Management, C Emili Grahit 91, Girona 17003, Spain
关键词
Interestingness; memorability; image; video; social networks; review; LONG-TERM-MEMORY; NATURAL SCENES; APPRAISAL; SCALE;
D O I
10.1142/S0218001417540040
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页数:35
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