Automatic text processing
Information retrieval
Statistical methods for speech recognition
Statistical methods for speech recognition
A unified framework for semantics and feature based relevance feedback in image retrieval systems
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Information Retrieval
An Intelligent Image Database System
IEEE Transactions on Software Engineering
A statistical correlation model for image retrieval
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
A media agent for automatically building a personalized semantic index
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
Image Retrieval Using Multiple Evidence Ranking
IEEE Transactions on Knowledge and Data Engineering
Multi-model similarity propagation and its application for web image retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Multi-graph enabled active learning for multimodal web image retrieval
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Relevance feedback methods for logo and trademark image retrieval on the web
Proceedings of the 2006 ACM symposium on Applied computing
Expert Systems with Applications: An International Journal
Web image retrieval systems with automatic web image annotating techniques
WSEAS Transactions on Information Science and Applications
Generating Bidirectional Links for Web Annotation Stickies
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Automatic web image annotation for image retrieval systems
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Improving keyword based web image search with visual feature distribution and term expansion
Knowledge and Information Systems
A user study to investigate semantically relevant contextual information of WWW images
International Journal of Human-Computer Studies
Co-reranking by mutual reinforcement for image search
Proceedings of the ACM International Conference on Image and Video Retrieval
An implementation of web image search engines
ICADL'04 Proceedings of the 7th international Conference on Digital Libraries: international collaboration and cross-fertilization
Web image retrieval refinement by visual contents
WAIM '06 Proceedings of the 7th international conference on Advances in Web-Age Information Management
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The popularity of digital images is rapidly increasing due to improving digital imaging technologies and convenient availability facilitated by the Internet. However, how to find user-intended images from the Internet is nontrivial. The main reason is that the Web images are usually not annotated using semantic descriptors. In this article, we present an effective approach to and a prototype system for image retrieval from the Internet using Web mining. The system can also serve as a Web image search engine. One of the key ideas in the approach is to extract the text information on the Web pages to semantically describe the images. The text description is then combined with other low-level image features in the image similarity assessment. Another main contribution of this work is that we apply data mining on the log of users' feedback to improve image retrieval performance in three aspects. First, the accuracy of the document space model of image representation obtained from the Web pages is improved by removing clutter and irrelevant text information. Second, to construct the user space model of users' representation of images, which is then combined with the document space model to eliminate mismatch between the page author's expression and the user's understanding and expectation. Third, to discover the relationship between low-level and high-level features, which is extremely useful for assigning the low-level features' weights in similarity assessment.