Quantum Logic Based MPEG Query Format Algebra
DOI: 10.1007/978-3-642-27169-4_15 Conference: Adaptive Multimedia Retrieval. Context, Exploration, and Fusion - 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers
The need for fast processing of query requests in multimedia retrieval systems is apparent. One basis for optimization is the formalization of the corresponding query language by a respective algebra. Furthermore, an algebra is important for demonstrating the profoundness and validity of a query language. In this context, the article contributes a formal semantics model for the novel standardized MPEG Query Format for multimedia search. In addition to the specification of its syntax and semantics, our quantum logic approach for fuzzy retrieval on behalf of the formal model is discussed. Besides the validity of our formalization is demonstrated on some examples, the advantages as well as the shortcomings of the query format are discussed.
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ABSTRACT: 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.
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