Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The Journal of Machine Learning Research
Image annotations by combining multiple evidence & wordNet
Proceedings of the 13th annual ACM international conference on Multimedia
Image annotation refinement using random walk with restarts
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Learning tag relevance by neighbor voting for social image retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Proceedings of the 18th international conference on World wide web
Unsupervised multi-feature tag relevance learning for social image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
Image tag refinement towards low-rank, content-tag prior and error sparsity
Proceedings of the international conference on Multimedia
Mining tags using social endorsement networks
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Multimedia Tools and Applications
Exploiting user information for image tag refinement
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Assistive tagging: A survey of multimedia tagging with human-computer joint exploration
ACM Computing Surveys (CSUR)
The dynamic features of delicious, flickr, and YouTube
Journal of the American Society for Information Science and Technology
Multimedia Tools and Applications
A Ubiquitous Image Tagging System Using User Context
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
High order pLSA for indexing tagged images
Signal Processing
Multimedia information retrieval on the social web
Proceedings of the 22nd international conference on World Wide Web companion
Towards optimizing human labeling for interactive image tagging
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Semantic context based refinement for news video annotation
Multimedia Tools and Applications
Image annotation using high order statistics in non-Euclidean spaces
Journal of Visual Communication and Image Representation
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Tagging is nowadays the most prevalent and practical way to make images searchable. However, in reality many tags are irrelevant to image content. To refine the tags, previous solutions usually mine tag relevance relying on the tag similarity estimated right from the corpus to be refined. The calculation of tag similarity is affected by the noisy tags in the corpus, which is not conducive to estimate accurate tag relevance. In this paper, we propose to do tag refinement from the angle of topic modeling. In the proposed scheme, tag similarity and tag relevance are jointly estimated in an iterative manner, so that they can benefit from each other. Specifically, a novel graphical model, regularized Latent Dirichlet Allocation (rLDA), is presented. It facilitates the topic modeling by exploiting both the statistics of tags and visual affinities of images in the corpus. The experiments on tag ranking and image retrieval demonstrate the advantages of the proposed method.