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Multimedia Information Retrieval Based on Late Semantic Fusion


Design and Implementation o

Fault Node Recovery Algorithm

Clustering and Retrieval of Vi
Abstract


Main goal of this work is to show the improvement of using a textual pre-filtering combined with an image re-ranking in a Multimedia Information Retrieval task. The defined three stepbased retrieval processes and a well-selected combination of visual and textual techniques help the developedMultimedia Information Retrieval System to overcome the semantic gap in a given query. In the paper, five different late semantic fusion approaches are discussed and experimented in a realistic scenario for multimedia retrieval like the one provided by the publicly available ImageCLEF Wikipedia Collection.

KeyWords
Content-based,fusion,multimedia,retrieval,textual-based



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