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One Click Intent Image Search

Content-based image retrieval (CBIR) is an image search technique where images are selected from an image database by using a reference image rather than metadata, such as keywords, tags and descriptions associated with that image. Here, input for the search is an image, and the output is similar images from the database. The similarity between two images is measured by calculating the distance between the two images. That distance is calculated from feature vectors, and the feature vectors are constructed from the content of the image. Here, content refers to color, texture and shape of the image.

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