Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Image annotations by combining multiple evidence & wordNet
Proceedings of the 13th annual ACM international conference on Multimedia
Label propagation through linear neighborhoods
ICML '06 Proceedings of the 23rd international conference on Machine learning
Correlated Label Propagation with Application to Multi-label Learning
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Dual cross-media relevance model for image annotation
Proceedings of the 15th international conference on Multimedia
Image annotation via graph learning
Pattern Recognition
Inferring semantic concepts from community-contributed images and noisy tags
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Tag refinement by regularized LDA
MM '09 Proceedings of the 17th ACM international conference on Multimedia
NUS-WIDE: a real-world web image database from National University of Singapore
Proceedings of the ACM International Conference on Image and Video Retrieval
Correlative linear neighborhood propagation for video annotation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Unified tag analysis with multi-edge graph
Proceedings of the international conference on Multimedia
Efficient large-scale image annotation by probabilistic collaborative multi-label propagation
Proceedings of the international conference on Multimedia
Image tag refinement towards low-rank, content-tag prior and error sparsity
Proceedings of the international conference on Multimedia
Image annotation using multi-correlation probabilistic matrix factorization
Proceedings of the international conference on Multimedia
Multiple Bernoulli relevance models for image and video annotation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A two-view learning approach for image tag ranking
Proceedings of the fourth ACM international conference on Web search and data mining
Content-based tag processing for Internet social images
Multimedia Tools and Applications
Adaptive all-season image tag ranking by saliency-driven image pre-classification
Journal of Visual Communication and Image Representation
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With the permeation of Web 2.0, large-scale user contributed images with tags are easily available on social websites. However, the noisy or incomplete correspondence between images and tags prohibit us from precise image retrieval and effective management. To tackle this, we propose a social tag refinement method, named as Correlation Consistency constrained Probabilistic Matrix Factorization (CCPMF), to jointly model the inter- and intra-correlations among images and tags, and further to precisely reconstruct the image-tag correlation as a result. For CCPMF, we attempt to derive two low-rank factors by conducting a joint factorization upon the image-tag correlation matrix. 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 similarity), are formulated as constraints in the factorization process. Finally, each untagged or noisily tagged image can be retagged according to the reconstructed image-tag correlations with the both derived latent factors. Experimental results on the NUS-WIDE dataset show the encouraging performance of our proposed algorithm over the state-of-the-arts.