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Studies in Computational Intelligence
This contribution investigates the content-based feature extraction methods used in visual information retrieval, focusing on concepts that are employed for the semantic representation of media content. The background part describes the building blocks of feature extraction functions. Since numerous methods have been proposed we concentrate on the metaconcepts. The building blocks lead to a discussion of starting points for semantic enrichment of low-level features. The second part reviewsdoi:10.1007/978-3-540-77473-0_8 fatcat:yqclrhrql5a7vl7taprcfm3s2y