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Multimedia Content's Brokerage: An Information System Based on LeSiM

Author

Listed:
  • Ioannis Karydis

    (Ionian University, Corfu, Greece)

  • Andreas Kanavos

    (University of Patras, Patras, Greece)

  • Spyros Sioutas

    (University of Patras, Patras, Greece)

  • Markos Avlonitis

    (Department of Informatics, Ionian University, Corfu, Greece)

  • Nikos Karacapilidis

    (IMIS Lab, MEAD, University of Patras, Patras, Greece)

Abstract

Metadata-based similarity measurement is far from obsolete nowadays, despite research's focus on content and context-based information. It allows for aggregating information from textual references, measuring similarity when content is not available, traditional keyword searches in search engines, merging results in meta-search engines, etc. Existing similarity measures do not take into consideration neither the unique nature of multimedia metadata nor the requirements of metadata-based information retrieval of multimedia. This work presents a commonly available author-title multimedia metadata hybrid similarity measure customised that has been shown to be experimentally significantly more effective than baseline measures. In addition, the work presents an architecture and a web-based implementation of an information system for data collection and validation by expert users that allows distributed, binary and scalar result ground-truth definition for a similarity measurement that can be used in digital content's identification and sales.

Suggested Citation

  • Ioannis Karydis & Andreas Kanavos & Spyros Sioutas & Markos Avlonitis & Nikos Karacapilidis, 2020. "Multimedia Content's Brokerage: An Information System Based on LeSiM," International Journal of E-Services and Mobile Applications (IJESMA), IGI Global, vol. 12(2), pages 40-58, April.
    • Handle: RePEc:igg:jesma0:v:12:y:2020:i:2:p:40-58
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