Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image annotations by combining multiple evidence & wordNet
Proceedings of the 13th annual ACM international conference on Multimedia
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Image annotation by large-scale content-based image retrieval
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Google Similarity Distance
IEEE Transactions on Knowledge and Data Engineering
Bipartite graph reinforcement model for web image annotation
Proceedings of the 15th international conference on Multimedia
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The MIR flickr retrieval evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Proceedings of the 18th international conference on World wide web
Semi-supervised multi-label learning by constrained non-negative matrix factorization
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
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
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
Proceedings of the international conference on Multimedia
Robust principal component analysis?
Journal of the ACM (JACM)
Narrowing the semantic gap - improved text-based web document retrieval using visual features
IEEE Transactions on Multimedia
One person labels one million images
Proceedings of the international conference on Multimedia
Content-based tag processing for Internet social images
Multimedia Tools and Applications
Social negative bootstrapping for visual categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Purposive hidden-object-game: embedding human computation in popular game
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Exploiting user information for image tag refinement
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Social image tag recommendation by concept matching
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Automatic image annotation with weakly labeled dataset
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Tag-based social image search with visual-text joint hypergraph learning
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Personalizing automated image annotation using cross-entropy
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Music retagging using label propagation and robust principal component analysis
Proceedings of the 21st international conference companion on World Wide Web
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Assistive tagging: A survey of multimedia tagging with human-computer joint exploration
ACM Computing Surveys (CSUR)
Don't ask me what i'm like, just watch and listen
Proceedings of the 20th ACM international conference on Multimedia
Multi-view learning from imperfect tagging
Proceedings of the 20th ACM international conference on Multimedia
Collective search and recommendation in social media
Proceedings of the 20th ACM international conference on Multimedia
Semantic context learning with large-scale weakly-labeled image set
Proceedings of the 21st ACM international conference on Information and knowledge management
Active subspace: Toward scalable low-rank learning
Neural Computation
Graph-based semi-supervised learning with multi-modality propagation for large-scale image datasets
Journal of Visual Communication and Image Representation
Multimedia information retrieval on the social web
Proceedings of the 22nd international conference on World Wide Web companion
Robust image annotation via simultaneous feature and sample outlier pursuit
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Towards optimizing human labeling for interactive image tagging
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Why not, WINE?: towards answering why-not questions in social image search
Proceedings of the 21st ACM international conference on Multimedia
Learning with limited and noisy tagging
Proceedings of the 21st ACM international conference on Multimedia
Latent feature learning in social media network
Proceedings of the 21st ACM international conference on Multimedia
Web media semantic concept retrieval via tag removal and model fusion
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
Automatic Abstract Tag Detection for Social Image Tag Refinement and Enrichment
Journal of Signal Processing Systems
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The vast user-provided image tags on the popular photo sharing websites may greatly facilitate image retrieval and management. However, these tags are often imprecise and/or incomplete, resulting in unsatisfactory performances in tag related applications. In this work, the tag refinement problem is formulated as a decomposition of the user-provided tag matrix D into a low-rank refined matrix A and a sparse error matrix E, namely D = A + E, targeting the optimality measured by four aspects: 1) low-rank: A is of low-rank owing to the semantic correlations among the tags; 2) content consistency: if two images are visually similar, their tag vectors (i.e., column vectors of A) should also be similar; 3) tag correlation: if two tags co-occur with high frequency in general images, their co-occurrence frequency (described by two row vectors of A) should also be high; and 4) error sparsity: the matrix E is sparse since the tag matrix D is sparse and also humans can provide reasonably accurate tags. All these components finally constitute a constrained yet convex optimization problem, and an efficient convergence provable iterative procedure is proposed for the optimization based on accelerated proximal gradient method. Extensive experiments on two benchmark Flickr datasets, with 25K and 270K images respectively, well demonstrate the effectiveness of the proposed tag refinement approach.