De-duplication of photograph images using histogram refinement

Nalla, P R and C, Krishna Mohan (2011) De-duplication of photograph images using histogram refinement. In: IEEE Recent Advances in Intelligent Computational Systems, RAICS 2011, 22-24. September 2011, Trivandrum, Kerala.

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Content based image retrieval (CBIR), a technique which uses the content like color, texture and shape to search images from the large scale databases, is an active research area. In this paper, de-duplication process of photographs was implemented using CBIR. The CBIR technique uses color histogram refinement feature. The photograph data was divided into different clusters using k-means clustering algorithm. The clusters count depends on the numbers of photographs in each district of the state. The photo de-duplication exercise was carried out in a large photograph database which contains 22 million (approximately) photograph images. The experimental results shows that there were 0.35 million (approximately) duplicate photographs.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: color; Daubechies-4 wavelet transform; de-duplication; histogram refinement; k-means clustering; texture
Subjects: Computer science > Special computer methods
Computer science > Computer programming, programs, data
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 29 Oct 2014 09:15
Last Modified: 01 Sep 2017 09:25
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