Core metamodel for content-based image retrieval (CROSBI ID 550831)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ivašić-Kos, Marina ; Pavlić, Mile ; Poščić, Patrizia
engleski
Core metamodel for content-based image retrieval
Content-based image retrieval (CBIR) is a technique for retrieving images from a large data collection that match to a given query based, basically, on their own low-level visual content, such as colors, textures and shapes within the image. The content-based retrieval process usually involves generating signatures from extracted visual features and annotations of images, comparing these signatures to the signature of the query. Results are usually ranked in terms of how similar their signatures are to the query signature according to appropriate distance measure. The core concepts of the CBIR paradigm, i.e. visual feature extraction, signature definition with corresponding similarity metrics and retrieval techniques will be discussed and modeled using Unified Modeling Language (UML) modeling concepts. The aim of proposed UML core metamodel is to present multiple views of the system and to provide a formal basis for better understanding and improvements in CBIR systems development.
content-based image retrieval; UML modeling; metamodel
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
178-183.
2008.
objavljeno
Podaci o matičnoj publikaciji
MIPRO 2008- 31st International convention on information and communication technology, electronics and microelectronics, Proceedings Vol. III, CTS & CIS
Bogunović, Nikola ; Ribarić, Slobodan
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-038-0
Podaci o skupu
MIPRO 2008, 31st international convention on information and communication technology, electronics and microelectronics
predavanje
26.05.2008-30.05.2008
Opatija, Hrvatska