By Topic

Improving image tag recommendation using favorite image context

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Wonyong Eom ; Image and Video Systems Lab, Korea Advanced Institute of Science and Technology (KAIST), Yuseong-gu, Daejeon, Republic of Korea ; Sihyoung Lee ; Wesley De Neve ; Yong Man Ro

Tag recommendation allows mitigating the amount of user effort needed to annotate images. Assuming that favorite images and their associated tags are indicative of the visual and topical interests of users, this paper proposes a personalized image tag recommendation technique that makes use of favorite image context. Specifically, to recommend tags for a newly uploaded image, we propose to take advantage of the tags assigned to favorite images of the user who uploaded the image, fusing tag statistics and visual similarity. Experimental results obtained for images and tags retrieved from Flickr compare the use of favorite image context to the use of personal and collective context for the purpose of tag recommendation, showing that the use of favorite image context is promising.

Published in:

2011 18th IEEE International Conference on Image Processing

Date of Conference:

11-14 Sept. 2011