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Matches in ScholarlyData for { ?s ?p Tag-based social image search enables users to naturally formulate queries using keywords as they do with most Web search engines. However, as queries are usually very short and users have very different interpretations of a particular tag in annotating and searching images, the returned images to a tag query usually contains a collection of images related to multiple concepts. We demonstrate Casis, a system for concept-aware social image search. Casis detects tag concepts based on the collective knowledge embedded in social tagging from the initial results to a query. A tag concept is a set of tags highly associated with each other and collectively conveys a semantic meaning. Images to a query are then organized by tag concepts. Casis provides interactive browsing of search results through a tag concept graph, which visualizes the tags defining each tag concept and their relationships within and across concepts. By seamlessly supporting multiple image retrieval methods and multiple concept detection algorithms, Casis offers superior social image search experiences with flexibility in choosing the most suitable retrieval methods and concept-aware image organizations.. }

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