IJMTES – NEAR-DUPLICATE IMAGE DETECTION BASED ON CONTEXTUAL DESCRIPTOR

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : NEAR-DUPLICATE IMAGE DETECTION BASED ON CONTEXTUAL DESCRIPTOR

Author’s Name : Tamizhmani T  unnamed

Volume 03 Issue 09 2016

ISSN no:  2348-3121

Page no: 110-112

Abstract – A variable-length signature for near-duplicate image matching in this paper. An image is represented by a signature, the length of which varies with respect to the number of patches in the image.  A new visual descriptor, viz., probabilistic center-symmetric local binary pattern, is proposed to characterize the appearance of each image patch. Beyond each individual patch, the spatial relationships among the patches are captured. In order to compute the similarity between two images, we utilize the earth mover’s distance which is good at handling variable-length signatures. The proposed image signature is evaluated in two different applications, i.e., near-duplicate document image retrieval and near-duplicate natural image detection.  

Keywords— Variable-Length Signature, Visual Descriptor, Mover’s Distance

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