Skip to main content
SpringerLink
Log in

Visual Information Retrieval Based on Shape Similarity

  • Conference paper
Digital Libraries: International Collaboration and Cross-Fertilization (ICADL 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3334))

Included in the following conference series:

Abstract

An effective and fast shape description and retrieval method is presented for huge image databases. As a shape representation for deformable objects, a multi-scale skeleton representation is proposed in order to preserve the consistency of the skeletons and to reduce the effect of the structural changes. Incorrect matches due to the boundary noise in a segmentation process are avoided by including multiple coarse skeletons of different scales. A fast computational method for the similarity of skeletons is also proposed by using the moment invariants. Experimental results on animal databases showed that the proposed method gives prominent accuracy in retrieval.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sclaroff, S., Pentland, A.: Model matching for correspondence and recognition. IEEE Trans. Pattern Analysis and Machine Intelligence 17, 545–561 (1995)

    Article  Google Scholar 

  2. Mokhtarian, F., Abbasi, S., Kittler, J.: Robust and efficient shape indexing through curvature scale space. In: Proc. British Machine Vision Conf., pp. 545–561 (1996)

    Google Scholar 

  3. Celenk, M., Shao, Y.: Rotation, translation, and scaling invariant color image indexing. In: Storage and Retrieval for Image and Video Databases VII. SPIE, vol. 3656, pp. 623–630 (1999)

    Google Scholar 

  4. Ogniewicz, R.: Skeleton-space: a multiscale shape description combining region and boundary information. In: CVPR, pp. 746–751 (1994)

    Google Scholar 

  5. Telea, A., Sminchisescu, C., Dickinson, S.: Optimal Inference for Hierarchical Skeleton Abstraction. In: IEEE ICPR (2004)

    Google Scholar 

  6. Arcelli, C., di Baja, G.S.: Euclidean skeleton via centre-of-maximal-disc extraction. Image and Vision Computing 11, 163–173 (1993)

    Article  Google Scholar 

  7. Teh, C.H., Chin, R.T.: On digital approximation of moment invariants. CVGIP 33, 583–598 (1986)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dept. of Computer Science and Engineering, University of Incheon, 177 Dohwa-dong, Nam-gu, Incheon, 402-749, Republic of Korea

    Jong-Seung Park

Authors
  1. Jong-Seung Park
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, Shanghai, P.R. China

    Zhaoneng Chen

  2. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  3. Shanghai Library, Shanghai, P.R. China

    Qihao Miao

  4. BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yuxi Fu

  5. Digital Library Research Laboratory, Virginia Tech, USA

    Edward Fox

  6. School of Computer Engineering, Nanyang Technological University,  

    Ee-peng Lim

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Park, JS. (2004). Visual Information Retrieval Based on Shape Similarity. In: Chen, Z., Chen, H., Miao, Q., Fu, Y., Fox, E., Lim, Ep. (eds) Digital Libraries: International Collaboration and Cross-Fertilization. ICADL 2004. Lecture Notes in Computer Science, vol 3334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30544-6_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30544-6_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24030-3

  • Online ISBN: 978-3-540-30544-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation