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An ontological framework for media analysis and mining

Articolo
Data di Pubblicazione:
2009
Abstract:
Advances in tools and technologies for digital media production and analysis have assured the availability of larger and larger amount of data which carry a huge amount of information for solving specific application tasks. This development has stressed the need for advanced systems that are not limited to media storage and management but include also their intelligent representation and retrieval. In this paper, we report current results of an ontological framework under development for mining media data, thus offering the possibility of storing, retrieving, analyzing and investigating media to discover novel knowledge relevant to strategic application processes.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
I.2.6 Learning; I.4 Image Processing and Computer Vision; H.2.8 Database Applications; Ontologies; Image Analysis; Data mining; Multimedia Understanding
Elenco autori:
Colantonio, Sara; Salvetti, Ovidio
Autori di Ateneo:
COLANTONIO SARA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/63041
Pubblicato in:
PATTERN RECOGNITION AND IMAGE ANALYSIS
Journal
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URL

https://link.springer.com/article/10.1134%2FS1054661809020023
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