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10.1145/1772690.1772848acmotherconferencesArticle/Chapter ViewAbstractPublication PagesthewebconfConference Proceedingsconference-collections
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Retagging social images based on visual and semantic consistency

Published: 26 April 2010 Publication History

Abstract

The tags on social media websites such as Flickr are frequently imprecise and incomplete, thus there is still a gap between these tags and the actual content of the images. This paper proposes a social image ``retagging'' scheme that aims at assigning images with better content descriptors. The refining process is formulated as an optimization framework based on the consistency between ``visual similarity'' and ``semantic similarity'' in social images. An effective iterative bound optimization algorithm is applied to learn the optimal tag assignment. In addition, as many tags are intrinsically not closely-related to the visual content of the images, we employ a knowledge-based method to differentiate visual content related from unrelated tags and then constrain the tagging vocabulary of our automatic algorithm within the content related tags. Experimental results on a Flickr image collection demonstrate the effectiveness of this approach.

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C. Wang, F. Jing, L. Zhang and H. J. Zhang. Content-Based Image Annotation Refinement. In Proceeding of IEEE International Conference on Computer Vision and Pattern Recognition, 2007.
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D. Liu, M. Wang, L. Yang, X.-S. Hua and H. J. Zhang. Tag Quality Improvement for Social Images. In International Conference on Multimedia & Expo, 2009.

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cover image ACM Other conferences
WWW '10: Proceedings of the 19th international conference on World wide web
April 2010
1407 pages
ISBN:9781605587998
DOI:10.1145/1772690

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2010

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  1. image tagging;tag refinement; retagging

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WWW '10
WWW '10: The 19th International World Wide Web Conference
April 26 - 30, 2010
North Carolina, Raleigh, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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  • (2018)Social image tag enrichment based on textual similarity modelingMultimedia Tools and Applications10.1007/s11042-017-5184-x77:3(3659-3676)Online publication date: 1-Feb-2018
  • (2018)Collective Intelligence: OverviewEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_106(286-301)Online publication date: 12-Jun-2018
  • (2017)Capturing the Gist(s) of Image Sets Associated with Chinese Cities through Related Tags Networks on Flickr®Social Media Listening and Monitoring for Business Applications10.4018/978-1-5225-0846-5.ch011(245-315)Online publication date: 2017
  • (2017)Collective Intelligence, OverviewEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4614-7163-9_106-1(1-15)Online publication date: 26-Jul-2017
  • (2016)PRIVACY POLICY AND DEDUPLICATION OF USER UPLOADED IMAGES ON SOCIAL WEBSITESi-manager's Journal on Computer Science10.26634/jcom.3.4.48323:4(36)Online publication date: 2016
  • (2015)Privacy Policy Inference of User-Uploaded Images on Content Sharing SitesIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2014.232072927:1(193-206)Online publication date: 1-Jan-2015
  • (2015)FoDoSu: Multi-document summarization exploiting semantic analysis based on social FolksonomyInformation Processing & Management10.1016/j.ipm.2014.06.00351:1(212-225)Online publication date: Jan-2015
  • (2014)Social Image Tagging With Diverse SemanticsIEEE Transactions on Cybernetics10.1109/TCYB.2014.230959344:12(2493-2508)Online publication date: Dec-2014
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