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Lecture Notes in Computer Science
The growing need for 'intelligent' image retrieval systems leads to new architectures combining visual semantics and signal features that rely on highly expressive frameworks while providing fully-automated indexing and retrieval processes. Indeed, addressing the issue of integrating the two main approaches in the image indexing and retrieval literature (i.e. signal and semantic) is a viable solution for achieving significant retrieval quality. This paper presents a multi-facetted frameworkdoi:10.1007/978-3-540-31865-1_33 fatcat:or6o2xsthjcbxc2x5vxc7dtbsa