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[28110] Artykuł:

The IMCOP System for Data Enrichment and Content Discovery and Delivery

Czasopismo: Proceedings of the 2015 International Conference on Computational Science and Computational Intelligence (CSCI 2015)   Strony: 143-146
ISBN:  978-1-4673-9795-7
Wydawca:  IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Opublikowano: Grudzień 2015
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Procent
udziału		 Liczba
punktów
Remigiusz Baran orcid logoWEAiIKatedra Informatyki, Elektroniki i Elektrotechniki *5015.00  
Andrzej ZejaWyższa Szkoła Technik Komputerowych i Telekomunikacji w Kielcach; Wydział Teleinformatyki50.00  

Grupa MNiSW:  Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science)
Punkty MNiSW: 15
Klasyfikacja Web of Science: Proceedings Paper

Pełny tekstPełny tekst     DOI LogoDOI     Web of Science Logo Web of Science    
Keywords:

feature extraction  multimedia indexing  data enrichment and content discovery platform  complex multimedia objects  cloud computing  content delivery 


Abstract:

This paper presents an overview of the IMCOP system dedicated to data enrichment and content discovery and delivery. A representative client application – the DEEP platform – for which the IMCOP system can serve is also depicted. Foremost categories of IMCOP web services are described in detail and their goals are clarified. A concept of Complex Multimedia Objects derived from the MPEG-7 standard and standing, in parallel, for its extension, is also introduced. Finally, advantages of the IMCOP system, as well as IMCOP’s current drawbacks, with an insight into proposals for their future improvement, are discussed.


B   I   B   L   I   O   G   R   A   F   I   A
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