Online Image Retrieval Using Query Clustering Algorithm

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
An online image retrieval system (similar to Google image search) where users search for images by submitting queries that are made of keywords. The queries formed by the users of a search engine are semantically refined, the keywords representing concise semantics. The aim is to improve user satisfaction by returning images that have a higher probability to be accepted (downloaded) by the user. The assumption is that the users search for images by issuing queries, each query being an ordered set of keywords. The system responds with a list of images. The user can download or ignore the returned images and issue a new query instead.
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