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

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

Ioannis Karydis, Andreas Kanavos, Spyros Sioutas, Markos Avlonitis, Nikos Karacapilidis
Copyright: © 2020 |Volume: 12 |Issue: 2 |Pages: 19
ISSN: 1941-627X|EISSN: 1941-6288|EISBN13: 9781799805861|DOI: 10.4018/IJESMA.2020040103
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MLA

Karydis, Ioannis, et al. "Multimedia Content's Brokerage: An Information System Based on LeSiM." IJESMA vol.12, no.2 2020: pp.40-58. http://doi.org/10.4018/IJESMA.2020040103

APA

Karydis, I., Kanavos, A., Sioutas, S., Avlonitis, M., & Karacapilidis, N. (2020). Multimedia Content's Brokerage: An Information System Based on LeSiM. International Journal of E-Services and Mobile Applications (IJESMA), 12(2), 40-58. http://doi.org/10.4018/IJESMA.2020040103

Chicago

Karydis, Ioannis, et al. "Multimedia Content's Brokerage: An Information System Based on LeSiM," International Journal of E-Services and Mobile Applications (IJESMA) 12, no.2: 40-58. http://doi.org/10.4018/IJESMA.2020040103

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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.

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