Communications of the ACM - Special issue on parallelism
Automatic text processing
Information retrieval
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Agents that reduce work and information overload
Communications of the ACM
A guided tour of computer vision
A guided tour of computer vision
From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
A protocol for performance evaluation of line detection algorithms
Machine Vision and Applications - Special issue on performance evaluation
Fast discovery of association rules
Advances in knowledge discovery and data mining
A practical query-by-humming system for a large music database
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Web mining for web image retrieval
Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining
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
Information Retrieval
Machine Learning
User Modeling and User-Adapted Interaction
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Combining Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Joint semantics and feature based image retrieval using relevance feedback
IEEE Transactions on Multimedia
Classified ranking of semantic content filtered output using self-organizing neural networks
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
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A novel idea and framework of ubiquitous media agents is presented for managing personal multimedia objects. Media agents are intelligent systems that can autonomously do the following tasks. They automatically collect and build personalized semantic indices of multimedia data on behalf of the user whenever and wherever he accesses/uses these multimedia data. The sources of these semantic descriptions are the textual context of the same documents that contain these multimedia data. The URLs of these multimedia data are indexed using these textual features. When the user wants to use these multimedia data again, the media agents can help the user find relevant multimedia data and provide proper suggestions based on the semantic indices. The media agents learn from the user's interaction records to refine the semantic indices and to model user intentions and preferences. Various algorithms can be used to implement the framework, and a few of them are described in this paper. As shown in the experiments, the media agents are effective in gathering relevant semantics for media objects and learning to provide precise suggestions when the user wants to reuse relevant media objects again