Back to articles
Articles
Volume: 28 | Article ID: art00049
Image
Experiencing the interestingness concept within and between pictures
  DOI :  10.2352/ISSN.2470-1173.2016.16.HVEI-139  Published OnlineFebruary 2016
Abstract

Interestingness is the quantification of the ability of an image to induce interest in a user. Because defining and interpreting interestingness remain unclear in the literature, we introduce in this paper two new notions, intra- and inter-interestingness, and investigate a novel set of dedicated experiments. More specifically, we propose four experimental protocols: 1/ object ranking with a pre-defined word list, 2/ pair-wise comparison, 3/ image ranking and 4/ eye-tracking. We take advantage of experimenting on the same dataset to draw potential links between the collected data and to state on the agreement between subjects. While we do not evidence a relationship between the local (intra) and global (inter) notions of interestingness, we do observe correlated outputs throughout the different protocols. Beyond the low or moderate values obtained from inter-rater agreement metrics, we point out the experimental reproducibility to argue about the universal nature of the interestingness notions. In addition, we bring deep insights on the relationships between interestingness and 7 other criteria, some of them already pointed out in the literature as being linked with interestingness. Unusualness and emotion seem to be the strongest enablers for interestingness. These insights are highly relevant for future work on modeling.

Subject Areas :
Views 25
Downloads 2
 articleview.views 25
 articleview.downloads 2
  Cite this article 

Christel Chamaret, Claire-Hélène Demarty, Vincent Demoulin, Gwenaëlle Marquant, "Experiencing the interestingness concept within and between picturesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Human Vision and Electronic Imaging,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.16.HVEI-139

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA