Multimedia Digital Libraries Handling: The Organic MMIR Perspective

  • Roberto Raieli
Part of the Communications in Computer and Information Science book series (CCIS, volume 385)


This paper focuses on new retrieval methods and tools applicable to the management of multimedia documents in Digital Libraries (DL). These matters merge in the organic methodology of MultiMedia Information Retrieval (MMIR). A paper’s goal is to demonstrate the operating limitations of a generic Information Retrieval (IR) system, restricted only to textual language. MMIR offers a better alternative, whereby every kind of digital document can be analyzed and retrieved with the elements of language appropriate to its own nature, directly handling the concrete document content. The integration of this content-based conception of information processing with the traditional semantic conception, can offer the advantages of both systems in accessing of information and documents managed in actual multimedia digital libraries.


multimedia information retrieval content-based information retrieval multimedia documents digital libraries image and video processing audio processing indexing semantic gap 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Williamson, N., Beghtol, C. (eds.): Knowledge Organization and Classification in International Information Retrieval. Haworth, New York (2003)Google Scholar
  2. 2.
    Hjørland, B., Nissen Pedersen, K.: A Substantive Theory of Classification for Information Retrieval. Journal of Documentation 61(5), 582–597 (2005)CrossRefGoogle Scholar
  3. 3.
    Molholt, P., Petersen, T.: The Role of the Art and Architecture Thesaurus in Communicating About Visual Art. Knowledge Organization 20(1), 30–34 (1993)Google Scholar
  4. 4.
    Grund, A.: ICONCLASS: On Subject Analysis of Iconographic Representations of Works of Art. Knowledge Organization 20(1), 20–29 (1993)Google Scholar
  5. 5.
    Svenonius, E.: Access to Nonbook Materials: The Limits of Subject Indexing for Visual and Aural Languages. Journal of the American Society for Information Science 45(8), 600–606 (1994)CrossRefGoogle Scholar
  6. 6.
    Grosky, W.I.: Managing Multimedia Information in Database Systems. Communications of the ACM 40(12), 73–80 (1997)CrossRefGoogle Scholar
  7. 7.
    Enser, P.G.B.: Pictorial Information Retrieval: Progress in Documentation. Journal of Documentation 51(2), 126–170 (1995)CrossRefGoogle Scholar
  8. 8.
    Del Bimbo, A.: Visual Information Retrieval. Kaufmann, San Francisco (1999)Google Scholar
  9. 9.
    Lancaster, F.W.: Indexing and Abstracting in Theory and Practice. University of Illinois-Graduate School of LIS, Urbana Champaign (2003)Google Scholar
  10. 10.
    Sagarmay, D. (ed.): Multimedia Systems and Content-Based Image Retrieval. Idea Group, Hershey (2004)Google Scholar
  11. 11.
    Adami, N., Cavallaro, A., Leonardi, R., Migliorati, P. (eds.): Analysis, Retrieval and Delivery of Multimedia Content. LNEE. Springer, Heidelberg (2012)Google Scholar
  12. 12.
    Enser, P.G.B.: Visual Image Retrieval. In: Cronin, B. (ed.) Annual Review of Information Science and Technology, pp. 3–42. AAIST, New York (2008)Google Scholar
  13. 13.
    Mittal, A.: An Overview of Multimedia Content-Based Retrieval Strategies. Informatica 30(3), 347–356 (2006)zbMATHGoogle Scholar
  14. 14.
    Hanjalic, A.: New Grand Challenge for Multimedia Information Retrieval: Bridging the Utility Gap. International Journal of Multimedia Information Retrieval 1(3), 139–152 (2012)CrossRefGoogle Scholar
  15. 15.
    Linckels, S., Meinel, C.: E-librarian Service: User-Friendly Semantic Search in Digital Libraries. Springer, Berlin (2011)Google Scholar
  16. 16.
    Thomee, B., Lew, M.S.: Interactive Search in Image Retrieval: a Survey. International Journal of Multimedia Information Retrieval 1(2), 71–86 (2012)CrossRefGoogle Scholar
  17. 17.
    Enser, P.G.B., Sandom, C.J.: Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds.) CIVR 2003. LNCS, vol. 2728, pp. 291–299. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  18. 18.
    Chaisorn, L., Manders, C., Rahardja, S.: Video Retrieval: Evolution of Video Segmentation, Indexing and Search. In: 2nd IEEE International Conference on Computer Science and Information Technology, pp. 16–20. IEEE, New York (2009)Google Scholar
  19. 19.
    Casey, M.A., Veltkamp, R., Goto, M., Leman, M., Rhodes, C., Slaney, M.: Content-based Music Information Retrieval: Current Directions and Future Challenges. Proceedings of the IEEE 96(4), 668–696 (2008)CrossRefGoogle Scholar
  20. 20.
    Maybury, M.T.: Multimedia Information Extraction. Wiley-IEEE, New York (2012)Google Scholar
  21. 21.
    Smeulders, A.W.M., Worring, M., Santini, S., Jain, R., Gupta, A.: Content-Based Image Retrieval at the End of the Early Years. IEEE Transactions on Pattern Analisys and Machines Intelligence 22(12), 1349–1380 (2000)CrossRefGoogle Scholar
  22. 22.
    Enser, P.G.B.: Visual Image Retrieval: Seeking the Alliance of Concept-Based and Content-Based Paradigms. Journal of Information Science 26(4), 199–210 (2000)CrossRefGoogle Scholar
  23. 23.
    Hare, J.S., Lewis, P.H., Enser, P.G.B., Sandom, C.J.: Mind the Gap: Another Look at the Problem of the Semantic Gap in Image Retrieval. In: Chang, E.Y., Hanjalic, A., Sebe, N. (eds.) Proceedings of Multimedia Content Analysis, Management and Retrieval 2006, pp. 75–86. SPIE, San Jose (2006)Google Scholar
  24. 24.
    Mallik, A., Chaudhury, S.: Acquisition of Multimedia Ontology: An Application in Preservation of Cultural Heritage. International Journal of Multimedia Information Retrieval 1(4), 249–262 (2012)CrossRefGoogle Scholar
  25. 25.
    Shadbolt, N., Hall, W., Berners-Lee, T.: The Semantic Web Revised. IEEE Intelligent Systems 21(3), 96–101 (2006)Google Scholar
  26. 26.
    Guy, M., Tonkin, E.: Folksonomies: Tidying Up Tags? D-Lib Magazine 12(1) (2006),
  27. 27.
    Raieli, R.: The Semantic Hole: Enthusiasm and Caution Around MultiMedia Information Retrieval. Knowledge Organization 39(1), 13–22 (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Roberto Raieli
    • 1
  1. 1.Roma Tre University Arts LibraryRomeItaly

Personalised recommendations