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Retagging social images based on visual and semantic consistency
2010
Proceedings of the 19th international conference on World wide web - WWW '10
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The refining process is formulated as an optimization framework based on the consistency between "visual similarity" and "semantic similarity" in social images. ...
This paper proposes a social image "retagging" scheme that aims at assigning images with better content descriptors. ...
In this work, we propose an optimization framework to improve the tag quality based on the following two observations in real-world social images. ...
doi:10.1145/1772690.1772848
dblp:conf/www/LiuHWZ10
fatcat:un7vi57pjfgf5lbfoblg6rcnwu
Image Retagging Using Collaborative Tag Propagation
2011
IEEE transactions on multimedia
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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 ...
Experimental results on two benchmark Flickr image datasets demonstrate the effectiveness of our proposed image retagging scheme. ...
[23] proposed to refine the tags based on the visual and semantic consistency residing in the social images, which assigns similar tags to visually similar images. ...
doi:10.1109/tmm.2011.2134078
fatcat:pksmgazirverldql3o6y6yinti
Semantic Based Image Annotation Using Descriptive Features and Retagging approach
2012
The International Journal of Multimedia & Its Applications
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The Semantic based annotation of an image is very important and a difficult task in content-based image retrieval (CBIR). ...
The ability to annotate images semantically based on the objects that they contain is essential in image retrieval as it provides the mechanism to take advantage of existing text retrieval systems. ...
To address this difficulty, another work proposed to refine the tags based on the visual and semantic consistency residing in the social images, which assigns similar tags to visually similar images. ...
doi:10.5121/ijma.2012.4102
fatcat:mrdi6h7ijjdqjchcv2lktlknny
Image retagging
2010
Proceedings of the international conference on Multimedia - MM '10
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The refining process, including denoising and enriching, is formulated as an optimization framework based on the consistency between "visual similarity" and "semantic similarity" in social images, that ...
is, the visually similar images tend to have similar semantic descriptors, and vice versa. ...
EMPIRICAL STUDY We implement and evaluate our retagging approach on a collection of social images. ...
doi:10.1145/1873951.1874031
dblp:conf/mm/LiuHWZ10
fatcat:p4u2mu3dajhljdjt5b6qyxd5cu
Music retagging using label propagation and robust principal component analysis
2012
Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion
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In this paper, we present a preliminary study that aims at refining (retagging) social tags by exploiting the content similarity between tracks and the semantic redundancy of the track-tag matrix. ...
The evaluated algorithms include a graph-based label propagation method that is often used in semi-supervised learning and a robust principal component analysis (PCA) algorithm that has led to state-of-the-art ...
This work was supported by a grant from the National Science Council of Taiwan under contract NSC 100-2218-E-001-009 and partially supported by the following projects: ...
doi:10.1145/2187980.2188217
dblp:conf/www/YangBHS12
fatcat:rvtxphg3zja73foayyn5e7o2hm
Content-based tag processing for Internet social images
2010
Multimedia tools and applications
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Online social media services such as Flickr and Zooomr allow users to share their images with the others for social interaction. ...
This paper provides a comprehensive survey of the technical achievements in the research area of content-based tag processing for social images, covering the research aspects on tag ranking, tag refinement ...
Acknowledgements The authors would like to thank Xirong Li, Xiaobai Liu, and Dr. Guangyu Zhu who contribute the figures illustrating their works introduced in this paper. ...
doi:10.1007/s11042-010-0647-3
fatcat:7djlumhk6ncu5jymyae7ufp5ze
Social Anchor-Unit Graph Regularized Tensor Completion for Large-Scale Image Retagging
[article]
2018
arXiv
pre-print
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Recent approaches simultaneously explore visual, user and tag information to improve the performance of image retagging by constructing and exploring an image-tag-user graph. ...
Second, a tensor completion based on SUGAR is implemented on the original image-tag-user tensor to refine the tags of the anchor images. ...
representative anchor units, where one anchor unit consists of an
information, and user information for social image retagging. ...
arXiv:1804.04397v2
fatcat:fxzkgsdcfbfg5ekutmcmwduyru
Image Tag Refinement by Regularized Latent Dirichlet Allocation
[article]
2013
arXiv
pre-print
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The experiments on tag ranking and image retrieval demonstrate the advantages of the proposed method. ...
Moreover, both the statistics of tags and visual affinities of images in the corpus are explored to help topic modeling. ...
Tag ranking based on visual and semantic consistency (TRVSC) [24] . This work follows RWR [32] using a random walk based method. ...
arXiv:1307.7974v1
fatcat:vl3wmkru3zgfrdirq7yghpw32e
Correlation consistency constrained probabilistic matrix factorization for social tag refinement
2013
Neurocomputing
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With the permeation of Web 2.0, large-scale user contributed images with tags are easily available on social websites. ...
Besides, two types of correlation consistency, i.e., the image-bias correlation consistency (from image similarity to tag relevance) and the tag-bias correlation consistency (from tag relevance to image ...
The first case, denoted as image-bias correlation consistency, is that visually similar images often reflect similar semantic themes and so should share similar tags, and vice versa is for the second type ...
doi:10.1016/j.neucom.2012.02.052
fatcat:tgv7oa4k7vci3fn5a57m36fgqq
Web video retagging
2010
Multimedia tools and applications
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Given a web video, video retagging first collect its textually and visually related neighbor videos. ...
Two kinds of experiments, i.e., application-oriented video search and categorization and user-based subjective studies are carried out on a large-scale web video dataset, which demonstrate that in most ...
Then they evaluate the visual consistence between the image and images collected from search engines by querying the candidate annotation. ...
doi:10.1007/s11042-010-0604-1
fatcat:pkecbwi6rnfkxl5bdu2fsxegbe
Semantic context learning with large-scale weakly-labeled image set
2012
Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12
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Visual context, semantic context, and neighborhood consistency in both visual and semantic spaces are sufficiently leveraged in the proposed framework. ...
Furthermore, semantics richness requires more than one label to describe one image in real applications, and multiple labels usually interact with each other in semantic space. ...
By investigating the label confidence matrix for image exemplars from column and row views, our method sufficiently leverages visual context, semantic context, and neighborhood consistency in both visual ...
doi:10.1145/2396761.2398532
dblp:conf/cikm/LuZZX12
fatcat:vivhicveuvccrdjruj5y3mkrau
Learning to Hash-tag Videos with Tag2Vec
[article]
2016
arXiv
pre-print
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User-given tags or labels are valuable resources for semantic understanding of visual media such as images and videos. ...
Recently, a new type of labeling mechanism known as hash-tags have become increasingly popular on social media sites. ...
Rajvi Shah and Saurabh Saini are supported respectively by Google and TCS PhD fellowships. We thank these organizations for their valuable support. ...
arXiv:1612.04061v1
fatcat:l45mrdvnc5a67ac4xkhmozkvq4
Hyrarchical Classification of Images to Predict Privacy Policy to Uploaded Images on Content Sharing Site
2017
International Journal of Science and Research (IJSR)
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Our solution relies on an image relegation framework for image categories which may be associated with homogeneous policies and on a policy presage algorithm to automatically engender a policy for each ...
Some users over CSS affect user's privacy on their personal contents, where some users keep on sending unwanted comments and messages by taking advantage of the user's inherent trust in their relationship ...
This framework is based on the consistency between "visual similarity" as well as "semantic similarity" in social images. ...
doi:10.21275/art20164243
fatcat:mtfssp2rxzemfnuffk2fzhubhy
Image Tag Recommendation based on Ranked Categorical Nearest Neighbors and Weighted Tag Features
2020
Advances in Science, Technology and Engineering Systems
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On many image sharing websites, tags can be assigned by the users to an image that describes the contextual and visual description of an image. ...
The huge number of images on the image sharing websites poses challenges for classification and retrieval of the images. ...
In [7] an approach for retagging of social images with diverse semantics was presented. ...
doi:10.25046/aj0506166
fatcat:swsx3x46qfhvflfdgkrxphvk3u
The effects of multiple query evidences on social image retrieval
2014
Multimedia Systems
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Acknowledgments Jialie Shen and Zhiyong Cheng are partially supported by Mobile plus Cloud Computing Theme Research Program Award-Microsoft Research. Portions of this work appeared in [7, 52] . ...
., OKAPI-BM25 [26] and vector space model [49] ) on tag-based social image search. ...
Performances of the CBIR systems The search performances based on different types of visual features on social image search are presented in Fig. 3 and Table 2 . ...
doi:10.1007/s00530-014-0432-7
fatcat:m6en7vwiv5cdxiphuj3mwozi4m
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