To search or to label?: predicting the performance of search-based automatic image classifiers
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Manifold-ranking based video concept detection on large database and feature pool
MULTIMEDIA '06 Proceedings of the 14th 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
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Correlative multi-label video annotation
Proceedings of the 15th international conference on Multimedia
Bipartite graph reinforcement model for web image annotation
Proceedings of the 15th international conference on Multimedia
Mining Weighted Association Rules without Preassigned Weights
IEEE Transactions on Knowledge and Data Engineering
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
CSV: visualizing and mining cohesive subgraphs
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Annotating Images by Mining Image Search Results
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active post-refined multimodality video semantic concept detection with tensor representation
MM '08 Proceedings of the 16th ACM international conference on Multimedia
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Online multi-label active annotation: towards large-scale content-based video search
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Automatic image tagging as a random walk with priors on the canonical correlation subspace
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Proceedings of the 18th international conference on World wide web
Proceedings of the 18th international conference on World wide web
Exploring social tagging graph for web object classification
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic video tagging using content redundancy
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
An automatic translation of tags for multimedia contents using folksonomy networks
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Label to region by bi-layer sparsity priors
MM '09 Proceedings of the 17th ACM international conference on Multimedia
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Distance metric learning from uncertain side information with application to automated photo tagging
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Ranking with local regression and global alignment for cross media retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Inferring semantic concepts from community-contributed images and noisy tags
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Latent dirichlet allocation for tag recommendation
Proceedings of the third ACM conference on Recommender systems
NUS-WIDE: a real-world web image database from National University of Singapore
Proceedings of the ACM International Conference on Image and Video Retrieval
Scale-rotation invariant pattern entropy for keypoint-based near-duplicate detection
IEEE Transactions on Image Processing
Learning social tag relevance by neighbor voting
IEEE Transactions on Multimedia
Image clustering using local discriminant models and global integration
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Multi-label boosting for image annotation by structural grouping sparsity
Proceedings of the international conference on Multimedia
Proceedings of the international conference on Multimedia
IEEE Transactions on Multimedia
Video Annotation Based on Kernel Linear Neighborhood Propagation
IEEE Transactions on Multimedia
Video Annotation Through Search and Graph Reinforcement Mining
IEEE Transactions on Multimedia
Context sensitive tag expansion with information inference
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
A modular image search engine based on key words and color features
Transactions on Edutainment VIII
Robust cross-media transfer for visual event detection
Proceedings of the 20th ACM international conference on Multimedia
Local image tagging via graph regularized joint group sparsity
Pattern Recognition
Effective transfer tagging from image to video
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Adaptive support framework for wisdom web of things
World Wide Web
Tag-Saliency: Combining bottom-up and top-down information for saliency detection
Computer Vision and Image Understanding
A mobile picture tagging system using tree-structured layered Bayesian networks
Mobile Information Systems
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Automatic media tagging plays a critical role in modern tag-based media retrieval systems. Existing tagging schemes mostly perform tag assignment based on community contributed media resources, where the tags are provided by users interactively. However, such social resources usually contain dirty and incomplete tags, which severely limit the performance of these tagging methods. In this paper, we propose a novel automatic image tagging method aiming to automatically discover more complete tags associated with information importance for test images. Given an image dataset, all the near-duplicate clusters are discovered. For each near-duplicate cluster, all the tags occurring in the cluster form the cluster's "document". Given a test image, we firstly initialize the candidate tag set from its near-duplicate cluster's document. The candidate tag set is then expanded by considering the implicit multi-tag associations mined from all the clusters' documents, where each cluster's document is regarded as a transaction. To further reduce noisy tags, a visual relevance score is also computed for each candidate tag to the test image based on a new tag model. Tags with very low scores can be removed from the final tag set. Extensive experiments conducted on a real-world web image dataset--NUS-WIDE, demonstrate the promising effectiveness of our approach.