A NEW DESCRIPTOR BASED ON 2D DCT FOR IMAGE RETRIEVAL

Cong Bai, Kidiyo Kpalma, Joseph Ronsin

2012

Abstract

Content-based image retrieval relies on feature comparison between images. So the selection of feature vector is important. As many images are compressed by transforms, constructing the feature vector directly in transform domain is a very popular topic. We propose a new feature vector in DCT domain. Our method selects part of DCT coefficients inside each block to construct AC-Pattern and use DC coefficients between neighboring blocks to construct DC-Pattern. Two histograms are formed and parts of them are used to build a descriptor vector integrating features to do image retrieval. Experiments are done both on face image databases and texture image database. Compared to other methods, results show that we can get better performance on both face and texture database by using the proposed method.

References

  1. Bai Cong, Kpalma Kidiyo and Ronsin Joseph, 2011. Analysis of histogram descriptor for image retrieval in DCT domain. Proceeding of the 4th International Conference on Intelligent Interactive Multimedia Systems and Services, Vol. 11, 227-235.
  2. Bolle R. M.,Pankanti S. and Ratha N. K., 2000. Evaluation techniques for biometrics-based authentication systems (FRR). Proc. International Conf. on Pattern Recognition, Vol. 2, 831-837.
  3. Do M. N. and Vetterli M., 2002. Wavelet-based texture retrieval using generalized Guassian density and Kullback-leibler distance. IEEE Trans. Image Process, Vol. 11, No. 2, 146-158.
  4. Goudelis, G., Zafeiriou, S. and Tefas, A.,Pitas, I., 2007. Class-Specific Kernel-Discriminant Analysis for Face Verification. IEEE Transactions on Information Forensics and Security, Volume 2, 570 - 587.
  5. Kim Yong-Ho, Lee Seok-Han and Lee Sangkeun, Kim Tae-Eun, Choi Jong-Soo, 2010. A Novel Image Retrieval Scheme Using DCT Filter-Bank of Weighted Color Components. 2010 International Conference on Information Science and Applications, 1-8.
  6. Kokare M., Biswas P. K. and Chatterji, B. N., 2005. Texture image retrieval using new rotated complex wavelet filters. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 35, Issue: 6, 1168 - 1178.
  7. Kwitt, R.; Uhl, A., 2010. Lightweight Probabilistic Texture Retrieval. IEEE Transactions on Image Processing, Vol.19, Issue: 1, 241 - 253.
  8. Naz, E., Farooq, U., and Naz, T., 2006. Analysis of Principal Component Analysis-Based and Fisher Discriminant Analysis-Based Face Recognition Algorithms. 2006 International Conference on Emerging Technologies, 121 - 127.
  9. Tsai Tienwei, Huang Yo-Ping, and Chiang Tei-Wei, 2006. Image Retrieval Based on Dominant Texture Features. 2006 IEEE International Symposium on Industrial Electronics, 441-446.
  10. Xu Zhijie, Zhang Jianqin, and Dai Xiwu, 2009. Boosting for Learning a Similarity Measure in 2DPCA Based Face Recognition. 2009 World Congress on Computer Science and Information Engineering, Vol. 7, 130 - 134.
  11. Zhong D., Defée I. 2005. DCT histogram optimization for image database retrieval. Pattern Recognition Letters, Vol. 26, 2272-2281.
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Paper Citation


in Harvard Style

Bai C., Kpalma K. and Ronsin J. (2012). A NEW DESCRIPTOR BASED ON 2D DCT FOR IMAGE RETRIEVAL . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 714-717. DOI: 10.5220/0003858907140717


in Bibtex Style

@conference{visapp12,
author={Cong Bai and Kidiyo Kpalma and Joseph Ronsin},
title={A NEW DESCRIPTOR BASED ON 2D DCT FOR IMAGE RETRIEVAL},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={714-717},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003858907140717},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - A NEW DESCRIPTOR BASED ON 2D DCT FOR IMAGE RETRIEVAL
SN - 978-989-8565-03-7
AU - Bai C.
AU - Kpalma K.
AU - Ronsin J.
PY - 2012
SP - 714
EP - 717
DO - 10.5220/0003858907140717