User interactions with everyday applications as context for just-in-time information access
Proceedings of the 5th international conference on Intelligent user interfaces
Learning users' interests by unobtrusively observing their normal behavior
Proceedings of the 5th international conference on Intelligent user interfaces
Proceedings of the 6th international conference on Intelligent user interfaces
Exploiting information access patterns for context-based retrieval
Proceedings of the 7th international conference on Intelligent user interfaces
WordSieve: A Method for Real-Time Context Extraction
CONTEXT '01 Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context
Interactive Indexing and Retrieval of Multimedia Content
SOFSEM '02 Proceedings of the 29th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
Adaptive Linking between Text and Photos Using Common Sense Reasoning
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Capturing task knowledge for geo-spatial imagery
Proceedings of the 2nd international conference on Knowledge capture
From context to content: leveraging context to infer media metadata
Proceedings of the 12th annual ACM international conference on Multimedia
Classification of user image descriptions
International Journal of Human-Computer Studies
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
MEDIC: MobilE Diagnosis for Improved Care
Proceedings of the 2006 ACM symposium on Applied computing
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In order to help address problems of information overload in digital imagery task domains, we have developed an interactive approach to the capture and reuse of image context information. Our framework models different aspects of the relationship between images and the domain tasks that they support by monitoring the interactive manipulation and annotation of task-relevant imagery. In particular, a strong focus on task context serves to ground image annotations in domain specific goals. This contrasts with prevalent annotation schemes that focus on what individual images contain but that provide no context for which, if any, of those aspects are important to users. Our work attempts to leverage a measure of the user's intentions with regard to tasks that they address. We analyze human-computer interaction information that enables us to infer why image contents are important in a particular context and how specific images have been used to address particular domain goals.