Skip to main content
SpringerLink
Log in

Significant region-based image retrieval

  • Original Paper
  • Published:
Signal, Image and Video Processing Aims and scope Submit manuscript

Abstract

In the era of multimedia technologies, the need for information/data retrieval systems getting more attention. The data might be image, video, audio and/or text files. Digital libraries, surveillance application, web applications and many other applications that handle huge volume of data essentially have data retrieval components. In this paper, a technique of region-based image retrieval (RBIR), a branch of content-based image retrieval (CBIR), is proposed. The proposed model identifies a significant region in an image using visual attention-based mechanism and represents them using its color layout descriptors and curvelet descriptors. These features are extracted from significant region of query image and images in the database. The likeness between the query region and database image region is ranked according to a similarity measure computed from the feature vectors. The proposed model does not need a full semantic understanding of image content, uses visual metrics such as proximity, size, color contrast and nearness to image’s boundaries to locate viewer’s attention and uses curvelet transform in combination with color layout descriptor to represent the significant region. Experimental results are analyzed and compared with the state-of-the-art CBIR Systems and RBIR Technique.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Liu, Y., Zhang, D., Lu, G., Ma, W.Y.: A survey of content-based image retrieval with high-level semantics. Pattern Recognit. 40, 262–282 (2007)

    Article  MATH  Google Scholar 

  2. Carson, C., Belongie, S., Greenspan, H., Malik, J.: Blobworld: image segmentation using expectation-maximization and its application to image querying. IEEE Trans. Pattern Anal. Mach. Intell. 8(8), 1026–1038 (2002)

    Article  Google Scholar 

  3. Wang, J.Z., Li, J., Wiederhold, G.: SIMPLIcity: semantics-sensitive integrated matching for picture libraries. IEEE Trans. Pattern Anal. Mach. Intell. 23(9), 947–963 (2001)

    Article  Google Scholar 

  4. Djordjevic, D., Izquierdo, E.: An object- and user-driven system for semantic-based image annotation and retrieval. IEEE Trans. Circuits Syst. Video Technol. 17(3), 313–323 (2007)

    Article  Google Scholar 

  5. Fang, M.-Y., Kuan, Y.-H., Kuo, C.-M., Hsieh, C.-H.: Effective image retrieval techniques based on novel salient region segmentation and relevance feedback. Multimed. Tools Appl. 57(3), 501–525 (2012)

    Article  Google Scholar 

  6. Sun, Y., Ozawa, S.: A hierarchical approach for region-based image retrieval. In IEEE International Conference on Systems, Man, and Cybernetics, pp. 1117–1124 (2005)

  7. Agarwal, M., Maheshwari, R.P.: Á trous gradient structure descriptor for content based image retrieval. Int. J. Multimed. Inf. Retr. 1(2), 129–138 (2012)

    Article  Google Scholar 

  8. Sumana, I., Islam, M., Zhang, D.S., Lu, G.: Content based image retrieval using curvelet transform. In: Proceedings of IEEE International Workshop on Multimedia Signal processing (MMSP08), Cairns, pp. 11–16. Queensland, Australia (2008)

  9. Zhang, D., Islam, M.M., Lu, G., Sumana, I.J.: Rotation invariant curvelet features for region based image retrieval. Int. J. Comput. Vis. 98(2), 187–201 (2012)

    Article  MathSciNet  Google Scholar 

  10. Islam, M.M., Zhang, D., Lu, G.: Region based color image retrieval using Curvelet transform. In: Proceedings of ACCV (2), pp. 448–457 (2009)

  11. Murala, S., Maheshwari, R.P., Balasubramanian, R.: Directional local extrema patterns: a new descriptor for content based image retrieval. Int. J. Multimed. Inf. Retr. 1(3), 191–203 (2012)

    Article  Google Scholar 

  12. Manipoonchelvi, P., Muneeswaran, K.: Significant region based image retrieval using curvelet transform. In: International Conference on Recent Advancements in Electrical, Electronics, and Control Engineering (ICONRAEeCE), pp. 291–294 (2011)

  13. Kasutani, E., Yamada, A.: The MPEG-7 color layout descriptor: a compact image feature description for high-speed image/video segment retrieval. In: Proceedings of International Conference on Image Processing vol. 1, pp. 674–677 (2001)

  14. Starck, J.-L., Candès, E.J., Donoho, D.L.: The curvelet transform for image denoising. IEEE Trans. Image Process. 11(6), 670–684 (2002)

  15. Zhang, Y.-J.: Semantic-Based Visual Information Retrieval. IRM press, Philadelphia (2007)

    Book  Google Scholar 

  16. Aroussi, El, Ghouzali, M., El Hassouni, S., Rziza, M., Aboutajdine, M.: Curvelet-based feature extraction with B-LDA for face recognition. In: International Conference on Computer Systems and Applications, AICCSA, pp. 444–448 (2009)

  17. Candès, E.J., Demanet, L., Donoho, D.L., Ying, L.: Fast discrete curvelet transforms. SIAM J. Multiscale Model. Simul. 5(3), 861–899 (2006)

    Article  MATH  Google Scholar 

  18. Manjunath, B.S., Ohm, J.-R., Vasudevan, V.V., Yamada, A.: Color and texture descriptors. IEEE Trans. Circuits Syst. Video Technol. 11(6), 703–715 (2001)

    Article  Google Scholar 

  19. Saadatmand-Tarzjan, M., Moghaddam, H.A.: A novel evolutionary approach for optimizing content-based image indexing algorithms. IEEE Trans. Syst. Man Cybern. Part B Cybern. 37(1), 139–153 (2007)

    Article  Google Scholar 

  20. Chen, Y., Wang, J.Z.: A region based fuzzy feature matching approach to content based image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 24(9), 1252–1267 (2002)

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Mepco Schlenk Engineering College, Anna University of Technology, Sivakasi, Tamilnadu, India

    P. Manipoonchelvi

  2. CSE, Mepco Schlenk Engineering College, Anna University of Technology, Sivakasi, Tamilnadu, India

    K. Muneeswaran

Authors
  1. P. Manipoonchelvi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. K. Muneeswaran
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. Manipoonchelvi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Manipoonchelvi, P., Muneeswaran, K. Significant region-based image retrieval. SIViP 9, 1795–1804 (2015). https://doi.org/10.1007/s11760-014-0657-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11760-014-0657-0

Keywords

Search

Navigation