WordNet: a lexical database for English
Communications of the ACM
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
The Cross Entropy Method: A Unified Approach To Combinatorial Optimization, Monte-carlo Simulation (Information Science and Statistics)
Tagging over time: real-world image annotation by lightweight meta-learning
Proceedings of the 15th international conference on Multimedia
Dual cross-media relevance model for image annotation
Proceedings of the 15th international conference on Multimedia
Classification and annotation of digital photos using optical context data
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Real-Time Computerized Annotation of Pictures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Description of interest regions with local binary patterns
Pattern Recognition
Image annotation using personal calendars as context
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Event recognition: viewing the world with a third eye
MM '08 Proceedings of the 16th 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
Style modeling for tagging personal photo collections
Proceedings of the ACM International Conference on Image and Video Retrieval
NUS-WIDE: a real-world web image database from National University of Singapore
Proceedings of the ACM International Conference on Image and Video Retrieval
Learning social tag relevance by neighbor voting
IEEE Transactions on Multimedia
Quest for relevant tags using local interaction networks and visual content
Proceedings of the international conference on Multimedia information retrieval
Unsupervised multi-feature tag relevance learning for social image retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
Baselines for Image Annotation
International Journal of Computer Vision
Leveraging loosely-tagged images and inter-object correlations for tag recommendation
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
Proceedings of the international conference on Multimedia
Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images
ACM Transactions on Intelligent Systems and Technology (TIST)
Semantic analysis and retrieval in personal and social photo collections
Multimedia Tools and Applications
Textual Query of Personal Photos Facilitated by Large-Scale Web Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Tag suggestion on youtube by personalizing content-based auto-annotation
Proceedings of the ACM multimedia 2012 workshop on Crowdsourcing for multimedia
A cross-media evolutionary timeline generation framework based on iterative recommendation
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Searching informative concept banks for video event detection
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Real web community based automatic image annotation
Computers and Electrical Engineering
Hi-index | 0.00 |
Annotating the increasing amounts of user-contributed images in a personalized manner is in great demand. However, this demand is largely ignored by the mainstream of automated image annotation research. In this paper we aim for personalizing automated image annotation by jointly exploiting personalized tag statistics and content-based image annotation. We propose a cross-entropy based learning algorithm which personalizes a generic annotation model by learning from a user's multimedia tagging history. Using cross-entropy-minimization based Monte Carlo sampling, the proposed algorithm optimizes the personalization process in terms of a performance measurement which can be flexibly chosen. Automatic image annotation experiments with 5,315 realistic users in the social web show that the proposed method compares favorably to a generic image annotation method and a method using personalized tag statistics only. For 4,442 users the performance improves, where for 1,088 users the absolute performance gain is at least 0.05 in terms of average precision. The results show the value of the proposed method.