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

Ioannis Karydis, Andreas Kanavos, Spyros Sioutas, Markos Avlonitis and Nikos Karacapilidis
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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

International Journal of E-Services and Mobile Applications (IJESMA), 2020, vol. 12, issue 2, 40-58

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.

Date: 2020
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