Skip to main content

Structure Extraction from Presentation Slide Information

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5351))

Abstract

Electronic presentations are used in numerous scenarios, such as lectures and meetings. In recent years, the widespread use of electronic presentations means that presentation slide data is increasing as one of industry’s most important information resources. Therefore, it is necessary to develop a practical usage method for the reutilisation of the data on slides. An approach to achieve this is to focus on visual structure information within a slide, because visual structure information is one of the most valuable, easy to understand methods for humans. However, since visual structure information is not explicitly defined in the slide data itself, computers have difficulty comprehending structure information directly. In this paper, we propose a method of extracting structure information from slide information. The proposed method is composed of two steps: organising objects within the slide as units, such as title, body text, figure and table, and structuring the units as a hierarchy tree based on a top-down approach.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Anjewierden, A.: AIDAS: Incremental Logical Structure Discovery in PDF Documents. In: Procs. the 6th International Conference on Document Analysis and Recognition, pp. 374–378 (2001)

    Google Scholar 

  2. Hayama, T., Nanba, H., Kunifuji, S.: Alignment between a Technical Paper and Presentation Sheets Using a Hidden Markov Model. In: Proc. Active Media Technology 2005, pp. 102–106 (2005)

    Google Scholar 

  3. Ishihara, T., Takagi, H., Itoh, T., Asakawa, C.: Analyzing Visual Layout for a Non-Visual Presentation-Document Interface. In: Proc. the 8th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 165–172 (2006)

    Google Scholar 

  4. Nanba, H., Abekawa, T., Okumura, M., Saito, S.: Bilingual presri: Integration of multiple research paper databases. In: Proc. the 7th RIAO Conference: Coupling approaches, coupling media and coupling languages for information retrieval, pp. 195–211 (2004)

    Google Scholar 

  5. Nanno, T., Saito, S., Okumura, M.: Structuring Web Pages Based on Repetition of. Elements. In: Proc. the 2nd International Workshop on Web Document Analysis, pp. 58–60 (2003)

    Google Scholar 

  6. Rosenfeld, B., Feldman, R., Aumann, Y.: Structural extraction from visual layout of documents. In: Procs. the 11th International Conference on Information and Knowledge Management, pp. 203–210 (2002)

    Google Scholar 

  7. Watanabe, T., Luo, Q., Sugie, N.: Layout Recognition of Multi-Kinds of Table-Form. Documents, IEEE Transactions on Pattern Analysis and Machine Intelligence 17(4), 432–445 (1995)

    Article  Google Scholar 

  8. Yang, Y., Zhang, H.: HTML Page Analysis Based on Visual Cues. In: Procs. the 6th International Conference on Document Analysis and Recognition, pp. 859–864, 10–13 (2001)

    Google Scholar 

  9. Zhai, Y., Liu, B.: Structured Data Extraction from the Web Based on Partial Tree Alignment. IEEE Transactions on Knowledge and Data Engineering 18(12), 1614–1628 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hayama, T., Nanba, H., Kunifuji, S. (2008). Structure Extraction from Presentation Slide Information. In: Ho, TB., Zhou, ZH. (eds) PRICAI 2008: Trends in Artificial Intelligence. PRICAI 2008. Lecture Notes in Computer Science(), vol 5351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89197-0_62

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-89197-0_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89196-3

  • Online ISBN: 978-3-540-89197-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics