A New Feature Extraction Method for Speed-Up Near-Duplicate Image Retrieval

Fudong Nian; Teng Li

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A New Feature Extraction Method for Speed-Up Near-Duplicate Image Retrieval

Fudong Nian,Teng Li *

Department of Electrical Engineering and Automation, Anhui Univeristy, HeFei 230601

*Correspondence author

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Funding: the Ph.D. Programs Foundation of Ministry of Education of China （No.No. 20133401120005）, the Open Project Program of the National Laboratory of Pattern Recognition （No.NLPR)）, Anhui Provincial Natural Science Foundation of China （No.No. 1408085QF118）, NSF of China （No.No. 61300056）

Opened online:25 September 2014

Accepted by: none

Citation: Fudong Nian,Teng Li.A New Feature Extraction Method for Speed-Up Near-Duplicate Image Retrieval[OL]. [25 September 2014] http://en.paper.edu.cn/en_releasepaper/content/4609507

The problem of near-duplicate image retrieval from large-scale image database remains a challenge after decades of work. In this paper has propose a simple and effective image descriptor named Local Region Binary Histogram (LRBH) for this field. The image is converted to a binary number after jointly utilizing the block-based feature and shape characteristics of the feature histogram. Then a similarity measure is used for judging whether two images are similar or not. To expedite calculation speed, a novel algorithm is proposed to coding the histogram. The proposed descriptor not only guarantees effectiveness in real applications but also guarantees effectiveness in real applications. Performance of proposed descriptor is compared with other common methods on the basis of results obtained on our two databases. Comparison experiments shows that the proposed method gives better results in terms of precision and recall as compared to other near-duplicate image retrieval methods and the video frame query experiment demonstrate our descriptor could play an important role in social media retrieval field.

Keywords:Information processing technology; Near-duplicate image retrieval; Feature coding; Similarity matching

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