Abstract
Visual information is becoming more important and at a rapid rate. However, creators and users are reluctant to annotate visual content making it difficult to search these collections. Content-based image retrieval (CBIR) techniques extract visual descriptors directly from image data and can hence be used in situations where textual information is not available. In this paper, we give a brief introduction on some of the basic colour descriptors that are employed in CBIR.
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Schaefer, G. (2011). Mining Image Databases by Content. In: Fernandes, A.A.A., Gray, A.J.G., Belhajjame, K. (eds) Advances in Databases. BNCOD 2011. Lecture Notes in Computer Science, vol 7051. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24577-0_7
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DOI: https://doi.org/10.1007/978-3-642-24577-0_7
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