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Determining the visual description for a painting is an interesting task that can be used in different applications, like retrieval, classification and recommendation. A painting can differ from others depending on the time period it was painted, the genre and the art movement the author lived. This paper present an approach for content based image retrieval applied to art paintings using the concept of bag of keypoints and SURF detector. A descriptor for dominant color is also used and weighted for a best visual retrieval.

A Recommendation System for Paintings using Bag of Keypoints and Dominant Color Descriptors