Hierarchical Discriminant Analysis for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrated Browsing and Querying for Image Databases
IEEE MultiMedia
Display Optimization for Image Browsing
MDIC '01 Proceedings of the Second International Workshop on Multimedia Databases and Image Communication
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Perceptual metrics for image database navigation
Perceptual metrics for image database navigation
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Visualization and User-Modeling for Browsing Personal Photo Libraries
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Visual islands: intuitive browsing of visual search results
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
User Modeling and User-Adapted Interaction
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We present a user-centric system for visualization and layout for content-based image retrieval and browsing. Image features (visual and/or semantic) are analyzed to display and group retrievals as thumbnails in a 2-D spatial layout which conveys mutual similarities. Moreover, a novel subspace feature weighting technique is proposed and used to modify 2-D layouts in a variety of context-dependent ways. An efficient computational technique for subspace weighting and re-estimation leads to a simple user-modeling framework whereby the system can learn to display query results based on layout examples (or relevance feedback) provided by the user. The resulting retrieval, browsing and visualization engine can adapt to the user's (time-varying) notions of content, context and preferences in style of interactive navigation. Monte Carlo simulations with synthetic "user-layouts" as well as pilot user studies have demonstrated the ability of this framework to accurately model or "mimic" users by automatically generating layouts according to their preferences.