Skip to main content

Multi-Dimensional Interval Algebra with Symmetry for Describing Block Layouts

  • Conference paper
  • First Online:
Graphics Recognition Recent Advances (GREC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1941))

Included in the following conference series:

  • 478 Accesses

Abstract

Describing the relative positions of Rectangular boxes on a page is a fundamental task in document layout processing. Typically, this is achieved by comparing quantitative values of the endpoints of the rectangle. Such a representation expresses a property that is basic for the “interval” asa conjunction of relations for the “point”. In this work, we adopt a qualitative interval projection model to describe the relative positions of such blocks using interval algebra, which defines the spatial relation of two points only in terms of precedence, coincidence and post-occurrence. Such relations have not been found very meaningful in document or other media layout con texts since they cannot capture symmetry.

In this work, we propose an extension of interval algebra by defining secondary operators (e.g. “centered”) which are expressed in terms of basic interval algebra operators. By extending the ordering of intervals to higher dimensions, Multidimensional Interval Algebra can capture the notion of tangency and alignment between blocks while retaining the relative size information. We present several examples from the document domain to show that this information is sufficient to identify the layout of block structured formats. While this representation does not provide any immediate benefit to document analysis per se - the fact that it provides a compact yet complete vocabulary enables its use in abstraction tasks such as learning the grammar of a document sets by studying a series of examples.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. James F. Allen. Maintaining knowledge about temporal intervals. CACM, November 1983. Also in “Readings in knowledge representation”, ed. Ronald J. Brachman and Hector J. Levesque, Morgan Kaufman, 1985, 26(11):832–843, 1983.

    MATH  Google Scholar 

  2. Hiroko Fujihara and Amitabha Mukerjee. Qualitative reasoning about document structures. In Symposium on Document Analysis and Information Retrieval, Las Vegas, March 16-18, 1992, 1992.

    Google Scholar 

  3. Daniel Hernandez. Qualitative Representation of Spatial Knowledge. Springer Verlag Lecture Notes in Artificial Intelligence, vol.LNCS804, 1994.

    MATH  Google Scholar 

  4. Yumi Iwasaki, Adam Farquhar, Vijay Saraswati, Daniel Bobrow and Vineet Gupta. Modelling Time in Hybrid Systems: How fast is “instantaneous?” In IJCAI-95, p.1773–1780

    Google Scholar 

  5. Gene Joe and Amitabha Mukerjee. Qualitative spatial representation based on tangency and alignments. Technical Report Texas A&M University Technical Report 90-014, July 1990, 54 pages, TexasA&M-CS, 1990.

    Google Scholar 

  6. Tom M Mitchell. Version space: a candidate elimination approach to rule learning. In Proceedings of the seventh international joint conference ofArtificial Intelligence, IJCAI-81, August 1981, pages 29–37, 1981.

    Google Scholar 

  7. Amitabha Mukerjee and Frank Schnorrenberg. Reasoning across scales in space and time. In AAAI Symposium on Principles of Hybrid Reasoning, November 15-17 1991, Asilomar, CA

    Google Scholar 

  8. Van Beek, Peter and Cohen Robin AI::Temporal Interval-Logic Complexity Transitivity Approximate. In Exact and Approximate Reasoning About Temporal Relations Computational Intelligence, v.6:133–44

    Google Scholar 

  9. Wong K. Y., Casey R. G. and Wahl F. M. Document Analysis System. In IBM J. of Res. Develop. 26(6):647–656, 1982.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lahoti, A., Singh, R., Mukerjee, A. (2000). Multi-Dimensional Interval Algebra with Symmetry for Describing Block Layouts. In: Chhabra, A.K., Dori, D. (eds) Graphics Recognition Recent Advances. GREC 1999. Lecture Notes in Computer Science, vol 1941. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40953-X_12

Download citation

  • DOI: https://doi.org/10.1007/3-540-40953-X_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41222-9

  • Online ISBN: 978-3-540-40953-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics