Please use this identifier to cite or link to this item:
Title: Image retagging using collaborative tag propagation
Authors: Liu, D.
Yan, S. 
Hua, X.-S.
Zhang, H.-J.
Keywords: Image retagging
label propagation
multi-graph multi-label learning
semantic correlation
Issue Date: Aug-2011
Citation: Liu, D., Yan, S., Hua, X.-S., Zhang, H.-J. (2011-08). Image retagging using collaborative tag propagation. IEEE Transactions on Multimedia 13 (4) : 702-712. ScholarBank@NUS Repository.
Abstract: Photo sharing websites such as Flickr host a massive amount of social images with user-provided tags. However, these tags are often imprecise and incomplete, which essentially limits tag-based image indexing and related applications. To tackle this issue, we propose an image retagging scheme that aims at refining the quality of the tags. The retagging process is formulated as a multiple graph-based multi-label learning problem, which simultaneously explores the visual content of the images, semantic correlation of the tags as well as the prior information provided by users. Different from classical single graph-based multi-label learning algorithms, the proposed algorithm propagates the information of each tag along an individual tag-specific similarity graph, which reflects the particular relationship among the images with respect to the specific tag and at the same time the propagations of different tags interact with each other in a collaborative way with an extra tag similarity graph. In particular, we present a robust tag-specific visual sub-vocabulary learning algorithm for the construction of those tag-specific graphs. Experimental results on two benchmark Flickr image datasets demonstrate the effectiveness of our proposed image retagging scheme. We also show the remarkable performance improvements brought by retagging in the task of image ranking. © 2011 IEEE.
Source Title: IEEE Transactions on Multimedia
ISSN: 15209210
DOI: 10.1109/TMM.2011.2134078
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Oct 15, 2018


checked on Oct 15, 2018

Page view(s)

checked on Oct 13, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.