Artificial Intelligence
A survey of browsing models for content based image retrieval
Multimedia Tools and Applications
A user interaction model based on the principle of polyrepresentation
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Quantum logic based MPEG query format algebra
AMR'10 Proceedings of the 8th international conference on Adaptive Multimedia Retrieval: context, exploration, and fusion
A permeable expert search strategy approach to multimodal retrieval
Proceedings of the 4th Information Interaction in Context Symposium
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PythiaSearch is a multimedia information retrieval system supporting multiple search strategies. Based on the promising results of the underlying query model in 2011's Image-CLEF Wikipedia task, we have implemented an interactive retrieval system which supports multimodal data such as images, (multilingual) texts, and various metadata formats that can be used to query or browse a collection. The support of multiple search strategies is crucial, because it is subject to change during the user's interaction with the retrieval system. The directed search and browsing mechanisms rely both on the same formal query model providing a seamless adaption to the user's search strategy. Additionally, it features a relevance feedback process that can be used to adjust or even learn specific queries based on the user's interaction with the system alone which can be saved for later usage.