Pseudometric Approach to Content Based Image Retrieval and Near Duplicates Detection
نویسندگان
چکیده
In this paper we investigate two approaches to content based image retrieval and their application to near duplicate detection in image collections. The first approach was proposed by C.E. Jacobs et al. [10]. It involves wavelet transformation of source image to extract features. The second approach is based on so called matrix of brightness variations which uses signs of partial derivatives of image brightness as features. Both approaches use some kind of pseudometric as similarity measure.
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