Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Intelligent Information Systems
Emergent Semantics through Interaction in Image Databases
IEEE Transactions on Knowledge and Data Engineering
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Multiclass Spectral Clustering
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Visualization and User-Modeling for Browsing Personal Photo Libraries
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Kernel k-means: spectral clustering and normalized cuts
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Hierarchical clustering of WWW image search results using visual, textual and link information
Proceedings of the 12th annual ACM international conference on Multimedia
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Web image clustering by consistent utilization of visual features and surrounding texts
Proceedings of the 13th annual ACM international conference on Multimedia
Detecting spam web pages through content analysis
Proceedings of the 15th international conference on World Wide Web
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Proceedings of the 15th international conference on World Wide Web
Detecting semantic cloaking on the web
Proceedings of the 15th international conference on World Wide Web
ImprovingWeb-based Image Search via Content Based Clustering
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds
Mathematical Programming: Series A and B
International Journal of Computer Vision
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
Proceedings of the 16th international conference on World Wide Web
Combating spam in tagging systems
AIRWeb '07 Proceedings of the 3rd international workshop on Adversarial information retrieval on the web
Large Scale Multiple Kernel Learning
The Journal of Machine Learning Research
Discriminating image senses by clustering with multimodal features
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Representing shape with a spatial pyramid kernel
Proceedings of the 6th ACM international conference on Image and video retrieval
Towards optimal bag-of-features for object categorization and semantic video retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Interactive access to large image collections using similarity-based visualization
Journal of Visual Languages and Computing
Pagerank for product image search
Proceedings of the 17th international conference on World Wide Web
Proceedings of the 17th international conference on World Wide Web
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
JustClick: personalized image recommendation via exploratory search from large-scale Flickr images
IEEE Transactions on Circuits and Systems for Video Technology
Word sense disambiguation with pictures
Artificial Intelligence - Special volume on connecting language to the world
Integrating visual and semantic contexts for topic network generation and word sense disambiguation
Proceedings of the ACM International Conference on Image and Video Retrieval
Narrowing the semantic gap - improved text-based web document retrieval using visual features
IEEE Transactions on Multimedia
Constructing Concept Lexica With Small Semantic Gaps
IEEE Transactions on Multimedia
Bridging the Semantic Gap Between Image Contents and Tags
IEEE Transactions on Multimedia
CLUE: cluster-based retrieval of images by unsupervised learning
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Hi-index | 0.00 |
In this paper, a cross-modal approach is developed for social image clustering and tag cleansing. First, a semantic image clustering algorithm is developed for assigning large-scale weakly-tagged social images into a large number of image topics of interest. Spam tags are detected automatically via sentiment analysis and multiple synonymous tags are merged as one super-topic according to their inter-topic semantic similarity contexts. Second, multiple base kernels are seamlessly combined by maximizing the correlations between the visual similarity contexts and the semantic similarity context, which can achieve more precise characterization of cross-modal (semantic and visual) similarity contexts among weakly-tagged social images. Finally, a K-way min-max cut algorithm is developed for social image clustering by minimizing the cumulative inter-cluster cross-modal similarity contexts while maximizing the cumulative intra-cluster cross-modal similarity contexts. The optimal weights for base kernel combination are simultaneously determined by minimizing the cumulative within-cluster variances. The polysemous tags and their ambiguous images are further split into multiple sub-topics for reducing their within-topic visual diversity. Our experiments on large-scale weakly-tagged Flickr images have provided very positive results.