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Wavelet-Based Salient Region Extraction

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Advances in Multimedia Information Processing – PCM 2007 (PCM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4810))

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Abstract

In this paper, we propose a new technique for extracting salient regions in an image. Identification of salient regions is useful for region/object based image processing. Previous works on salient regions/points typically involve complex detection and are not always reliable in terms of perceptual importance and robustness. This paper presents an efficient salient-region extraction algorithm based on the significance of accumulated wavelet coefficients. The proposed method is robust to common image processing such as compression, filtering, and geometric distortions. Experimental results substantiate the distinguished performance of the proposed method.

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References

  1. Bas, P., Chassery, J.-M., Macq, B.: Geometrically invariant watermarking using feature points. IEEE Trans. Image Processing 11, 1014–1028 (2002)

    Article  Google Scholar 

  2. Lee, H.-Y., Kim, H., Lee, H.-K.: Robust image watermarking using local invariant features. Optical Engineering 45, 1–11 (2006)

    Google Scholar 

  3. Tian, Q., Sebe, N., Lew, M., Loupias, S.E., Huang, T.S.: Image retrieval using wavelet-based salient points. J. Electronic Imaging 10, 835–849 (2001)

    Article  Google Scholar 

  4. Shao, L., Brady, M.: Specific object retrieval based on salient regions. Pattern Recognition 39, 1932–1948 (2006)

    Article  MATH  Google Scholar 

  5. Harris, C.G., Stephens, M.J.: A combined corner and edge detector. In: Proc. Fourth Alvey Vision Conf., Manchester, pp. 147–151 (1988)

    Google Scholar 

  6. StirMark version 3.1, http://www.cl.cam.ac.uk/~fapp2/watermarking/stirmark/

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Authors and Affiliations

Authors

Editor information

Horace H.-S. Ip Oscar C. Au Howard Leung Ming-Ting Sun Wei-Ying Ma Shi-Min Hu

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© 2007 Springer-Verlag Berlin Heidelberg

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Lin, DW., Yang, SH. (2007). Wavelet-Based Salient Region Extraction. In: Ip, H.HS., Au, O.C., Leung, H., Sun, MT., Ma, WY., Hu, SM. (eds) Advances in Multimedia Information Processing – PCM 2007. PCM 2007. Lecture Notes in Computer Science, vol 4810. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77255-2_42

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  • DOI: https://doi.org/10.1007/978-3-540-77255-2_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77254-5

  • Online ISBN: 978-3-540-77255-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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