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Adaptive photograph retrieval method

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Abstract

Access to electronic books, electronic journals, and web portals, which may contain graphics (drawings or diagrams) and images, is now ubiquitous. However, users may have photographs that contain graphics or images and want to access an electronic database to retrieve this information. Hence, an effective photograph retrieval method is needed. Although many content-based retrieval methods have been developed for images and graphics, few are designed to retrieve graphics and images simultaneously. Moreover, existing graphics retrieval methods use contour-based rather than pixel-based approaches. Contour-based methods, which are concerned with lines or curves, are inappropriate for images. To retrieve graphics and images simultaneously, this work applies an adaptive retrieval method. The proposed method uses histograms of oriented gradient (HOG) as pixel-based features. However, the characteristics of graphics and images differ, and this affects feature extraction and retrieval accuracy. Thus, an adaptive method is proposed that selects different HOG-based features for retrieving graphics and images. Experimental results demonstrate the proposed method has high retrieval accuracy even under noisy conditions.

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Acknowledgement

The authors would like to thank P. Sidiropoulos, S. Vrochidis, and I. Kompatsiarisa for providing patent image database and the anonymous reviewers for the valuable and insightful comments on the earlier version of this manuscript.

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Authors and Affiliations

  1. School of Information Science and Technology, Xiamen University, Xiamen, Fujian, China

    Hong-Bo Zhang, Song Zhi Su & Shao Zi Li

  2. Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China

    Hong-Bo Zhang, Song Zhi Su & Shao Zi Li

  3. Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan

    Shang-An Li & Shu-Yuan Chen

  4. Department of Computer Science and Information Engineering, Chien Hsin University of Science and Technology, Taoyuan, Taiwan

    Der-Jyh Duh

Authors
  1. Hong-Bo Zhang
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  2. Shang-An Li
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  3. Shu-Yuan Chen
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  4. Song Zhi Su
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  5. Der-Jyh Duh
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  6. Shao Zi Li
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Corresponding author

Correspondence to Shu-Yuan Chen.

Additional information

This work was partially supported by National Science Council of Taiwan, under Grant No. NSC-100-2221-E-155-086 and National Nature Science Foundation of China, under Grant No. 61202143.

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Zhang, HB., Li, SA., Chen, SY. et al. Adaptive photograph retrieval method. Multimed Tools Appl 70, 2189–2209 (2014). https://doi.org/10.1007/s11042-012-1233-7

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  • DOI: https://doi.org/10.1007/s11042-012-1233-7

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