Striving for an Adequate Vocabulary: Next Generation ‘Metadata’

  • Dieter Fellner
  • Sven Havemann
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


Digital Libraries (DLs) in general and technical or cultural preservation applications in particular offer a rich set of multimedia objects like audio, music, images, videos, and 3D models. But instead of handling these objects consistently as regular documents — in the same way we handle text documents — most applications handle them differently. This is due to the fact that ‘standard’ tasks like content categorization, indexing, content representation or summarization have not yet been developed to a stage where DL technology could readily apply it for these types of documents. Instead, these tasks have to be done manually making the activity almost prohibitively expensive. Consequently, the most pressing research challenge is the development of an adequate ‘vocabulary’ to characterize the content and structure of non-textual documents as the key to indexing, categorization, dissemination and access.

We argue that textual metadata items are insufficient for describing images, videos, 3D models, or audio adequately. A new type of generalized vocabulary is needed that permits to express semantic information — which is a prerequisite for a retrieval of generalized documents based on their content, rather than on static textual annotations. The crucial question being which methods and which types of technology will best support the definition of vocabularies and ontologies for non-textual documents.

We present one such method for the domain of 3D models. Our approach allows to differentiate between the structure and the appearance of a 3D model, and we believe that this formalism can be generalized to other types of media.


Digital Library Semantic Information Generalize Document Multimedia Object Shape Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. CHEN, D.-Y., TIAN, X.-P., SHEN, Y.-T., and OUHYOUNG, M. (2003): On visual similarity based 3d model retrieval. Computer Graphics Forum, 22(3):223–232.CrossRefGoogle Scholar
  2. FELLNER, D.W., editor (2000). Verteilte Verarbeitung und Vermittlung Digitaler Dokumente (V3D2) — Ein DFG-Schwerpunktprogramm zur Verstärkung der Grundlagenforschung im Bereich digitaler Bibliotheken, volume 42, 6 of it+ti. Oldenbourg.Google Scholar
  3. FELLNER, D.W. (2001): Graphics content in digital libraries: Old problems, recent solutions, future demands. Journal of Universal Computer Science, 7(5):400–409.zbMATHGoogle Scholar
  4. FELLNER, D.W. (2004): Strategic initiative V3D2 — Distributed Processing and Delivery of Digital Documents (DFG Schwerpunktprogramm 1041 — Verteilte Vermittlung und Verarbeitung Digitaler Dokumente). German Research Foundation (DFG), 1998–2004. Scholar
  5. FUNKHOUSER, T., MIN, P., KAZHDAN, M., CHEN, J., HALDERMAN, A., DOBKIN, D., and JACOBS, D. (2003): A search engine for 3d models. ACM Transactions on Graphics, 22(1):83–105.CrossRefGoogle Scholar
  6. GML (2005). GML scripting language website. Scholar
  7. HAVEMANN, S., and FELLNER, D.W. (2002): A versatile 3D model representation for cultural reconstruction. Proc. VAST 2001 Intl. Symp., pages 213–221. ACM Siggraph.Google Scholar
  8. HILAGA, M., SHINAGAWA, Y., KOHMURA, T., and KUNII, T.L. (2001): Topology matching for fully automatic similarity estimation of 3d shapes. Proc. of ACM SIGGRAPH 2001, Computer Graphics Proceedings, Annual Conference Series, pages 203–212.Google Scholar
  9. HyperWave (2005): Document management system. Scholar
  10. KEIM, D. (1999): Efficient geometry-based similarity search of 3D spatial databases. Proc. ACM International Conference on Management of Data (SIGMOD’99), pages 419–430. ACM Press.Google Scholar
  11. NOVOTNI, M., and KLEIN, R. (2001). A geometric approach to 3d object comparison. Proc. International Conference on Shape Modeling and Applications, pages 167–175. IEEE CS Press.Google Scholar
  12. NOVOTNI, M., and KLEIN, R. (2004): Shape retrieval using 3d zernike descriptors. Computer Aided Design, 36(11):1047–1062.CrossRefGoogle Scholar
  13. OSADA, R., FUNKHOUSER, T., CHAZELLE, B., and DOBKIN, D. (2002): Shape distributions. ACM Transactions on Graphics, 21(4):807–832.CrossRefGoogle Scholar
  14. TANGELDER, J.W.H., and VELTKAMP, R.C. (2004): A survey of content based 3D shape retrieval methods. Proc. Shape Modeling International.Google Scholar
  15. US National Science Foundation (2005): 3D knowledge project. Scholar
  16. VRANIĆ, D., and SAUPE, D. (2002): Description of 3D-shape using a complex function on the sphere. Proc. IEEE International Conference on Multimedia and Expo (ICME’02), pages 177–180.Google Scholar

Copyright information

© Springer Berlin · Heidelberg 2006

Authors and Affiliations

  • Dieter Fellner
    • 1
  • Sven Havemann
    • 1
  1. 1.Institut für ComputerGraphikTU BraunschweigBraunschweigGermany

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