UM
Social Image Tagging With Diverse Semantics
Xueming Qian1; Xian-Sheng Hua2; Yuan Yan Tang3; Tao Mei4
2014-12
Source PublicationIEEE Transactions on Cybernetics
ISSN2168-2267
Volume44Issue:12Pages:2493 - 2508
Abstract

We have witnessed the popularity of image-sharing websites for sharing personal experiences through photos on the Web. These websites allow users describing the content of their uploaded images with a set of tags. Those user-annotated tags are often noisy and biased. Social image tagging aims at removing noisy tags and suggests new relevant tags. However, most existing tag enrichment approaches predominantly focus on tag relevance and overlook tag diversity problem. How to make the top-ranked tags covering a wide range of semantic is still an opening, yet challenging, issue. In this paper, we propose an approach to retag social images with diverse semantics. Both the relevance of a tag to image as well as its semantic compensations to the already determined tags are fused to determine the final tag list for a given image. Different from existing image tagging approaches, the top-ranked tags are not only highly relevant to the image but also have significant semantic compensations with each other. Experiments show the effectiveness of the proposed approach. 

KeywordImage Tagging Semantic Social Media Tag Diversity Tag Enrichment Tag Relevance
DOIhttps://doi.org/10.1109/TCYB.2014.2309593
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000345629000021
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:36   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorXueming Qian; Xian-Sheng Hua; Yuan Yan Tang; Tao Mei
Affiliation1.SMILES Laboratory, School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
2.Microsoft
3.Faculty of Science and Technology, University of Macau, Macau, China
4.Microsoft Research Asia
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Xueming Qian,Xian-Sheng Hua,Yuan Yan Tang,et al. Social Image Tagging With Diverse Semantics[J]. IEEE Transactions on Cybernetics,2014,44(12):2493 - 2508.
APA Xueming Qian,Xian-Sheng Hua,Yuan Yan Tang,&Tao Mei.(2014).Social Image Tagging With Diverse Semantics.IEEE Transactions on Cybernetics,44(12),2493 - 2508.
MLA Xueming Qian,et al."Social Image Tagging With Diverse Semantics".IEEE Transactions on Cybernetics 44.12(2014):2493 - 2508.
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