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Asian Conference on Computer Vision

ACCV 1998: Computer Vision — ACCV'98 pp 362–369Cite as

Recognition in wavelet-compressed imagery

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1351))

Abstract

In this paper we analyze a method for classifying images which have been compressed using a biorthogonal wavelet transformation. The goal is to formulate a pattern recognition algorithm over a wavelet-compressed image set without requiring that the image set be decompressed. This paper extends previous work [8] which studies how to recognize objects in images compressed using orthogonal transforms, as in the JPEG/MPEG compression standards.

We gratefully acknowledge support from the National Science Foundation (grant number IRI-9308415)

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References

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Author information

Authors and Affiliations

  1. Department of Math and Computer Science, Houghton College, 14744, Houghton, New York, USA

    Wei Hu

  2. Computer Science Department, University of Kentucky, 40506, Lexington, Kentucky, USA

    W. Brent Seales

Authors
  1. Wei Hu
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  2. W. Brent Seales
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Editor information

Roland Chin Ting-Chuen Pong

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© 1997 Springer-Verlag Berlin Heidelberg

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Hu, W., Seales, W.B. (1997). Recognition in wavelet-compressed imagery. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_142

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  • DOI: https://doi.org/10.1007/3-540-63930-6_142

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63930-5

  • Online ISBN: 978-3-540-69669-8

  • eBook Packages: Springer Book Archive

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