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Given a pair of images each described by a feature set, image similarity is defined by comparing the feature set on the basis of a similarity function. In a typical Visual Information Retrieval system, while searching for a query image among the elements of the data set of images, knowledge of the domain will be expressed by formulating a similarity measure between the query and data set based on some visual features. Therefore, measuring meaningful image similarity consists of two intrinsic elements: finding a set of features for adequately describing the image content and finding a suitable metric for assessing the similarity on the basis of feature space. The feature set can be computed globally for the entire image or locally for a small group of pixels such as regions or objects. The similarity measure can be different depending on the types of features. Typically, the feature space is assumed to be...
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Mei, T., Rui, Y. (2009). Image Similarity. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1014
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DOI: https://doi.org/10.1007/978-0-387-39940-9_1014
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