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Efficient image retrieval using advanced SURF and DCD on mobile platform

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Abstract

As the amount of digital image continues to grow in usage, users are experiencing increased difficulty in finding specific images in the image collection. This paper proposes a novel image searching scheme that extracts the image feature using combination of ASURF (Advanced Speed-Up Robust Feature) and DCD (Dominant Color Descriptor). The system for mobile image searches runs in real-time on iPhone, and can be easily used to find a natural color image. To evaluate the proposed scheme, we assessed the performance of simulation in term of average precision and F-score on two image database, which is commonly used in the field of image retrieval. The experimental results revealed that the proposed algorithm exhibited a significant improvement of over 14.4 % in retrieval effectiveness, compared to open source OpenSURF. The main contribution of this paper is that the proposed approach achieves high accuracy and stability by using ASURF and DCD in searching for natural image on mobile platform.

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Acknowledgments

This work was supported by Dankook University project 2012 for funding.

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Authors and Affiliations

  1. Far East University, 76-43, Daehakgil Gamgok Eumseong Chungbuk, 369-700, Korea

    Yong-Hwan Lee

  2. Dankook University, 119, Dandae-ro Dongnam-gu Cheonan-si Chungnam, 330-714, Korea

    Youngseop Kim

Authors
  1. Yong-Hwan Lee
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  2. Youngseop Kim
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Correspondence to Youngseop Kim.

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Lee, YH., Kim, Y. Efficient image retrieval using advanced SURF and DCD on mobile platform. Multimed Tools Appl 74, 2289–2299 (2015). https://doi.org/10.1007/s11042-014-2129-5

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  • DOI: https://doi.org/10.1007/s11042-014-2129-5

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