Information flow: the logic of distributed systems
Information flow: the logic of distributed systems
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Towards context sensitive information inference
Journal of the American Society for Information Science and Technology - Mathematical, logical, and formal methods in information retrieval
Query expansion using term relationships in language models for information retrieval
Proceedings of the 14th ACM international conference on Information and knowledge management
Usage patterns of collaborative tagging systems
Journal of Information Science
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Image annotation refinement using random walk with restarts
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Toward Bridging the Annotation-Retrieval Gap in Image Search
IEEE MultiMedia
Proceedings of the 18th international conference on World wide web
Latent dirichlet allocation for tag recommendation
Proceedings of the third ACM conference on Recommender systems
Mining multi-tag association for image tagging
World Wide Web
Video Annotation Through Search and Graph Reinforcement Mining
IEEE Transactions on Multimedia
Hi-index | 0.00 |
The exponential explosion of web image data on the Internet has been witnessed over the last few years. The precise labeling of these images is crucial to effective image retrieval. However, most existing image tagging methods discover the correlations from tag co-occurrence relationship, which leads to the limited scope of extended tags. In this paper, we study how to build a new information inference model over image tag datasets for more effective and complete tag expansion. Specifically, the proposed approach uses modified Hyperspace Analogue to Language (HAL) model instead of association rules or latent dirichlet allocations to mine the correlations between image tags. It takes advantage of context sensitive information inference to overcome the limitation caused by the tag co-occurrence based methods. The strength of this approach lies in its ability to generate additional tags that are relevant to a target image but may have weak co-occurrence relationship with the existing tags in the target image. We demonstrate the effectiveness of this proposal with extensive experiments on a large Flickr image dataset."