Paper Info
Title
Identifying objects in images from analyzing the users' gaze movements for provided tags
Abstract
Assuming that eye tracking will be a common input device in the near future in notebooks and mobile devices like iPads, it is possible to implicitly gain information about images and image regions from these users' gaze movements. In this paper, we investigate the principle idea of finding specific objects shown in images by looking at the users' gaze path information only. We have analyzed 547 gaze paths from 20 subjects viewing different image-tag-pairs with the task to decide if the tag presented is actually found in the image or not. By analyzing the gaze paths, we are able to correctly identify 67% of the image regions and significantly outperform two baselines. In addition, we have investigated if different regions of the same image can be differentiated by the gaze information. Here, we are able to correctly identify two different regions in the same image with an accuracy of 38%.
Year
DOI
Venue
2012
10.1007/978-3-642-27355-1_15
MMM
Keywords
Field
DocType
different image-tag-pairs,path information,identifying object,image region,near future,common input device,different region,mobile device,principle idea,specific object,eye tracking,region labeling
Computer vision,Pattern recognition,Gaze,Computer science,Mobile device,Eye tracking,Artificial intelligence,Connected-component labeling,Input device
Conference
Volume
ISSN
Citations 
7131
0302-9743
4
PageRank 
References 
Authors
0.43
10
3
Name
Order
Citations
PageRank
Tina Walber1163.74
Ansgar Scherp267380.74
Steffen Staab36658593.89