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Low- and High-level Image Annotation Using Fuzzy Petri Net Knowledge Representation Scheme


Ivašić-Kos, Marina; Ribarić, Slobodan; Ipšić, Ivo
Low- and High-level Image Annotation Using Fuzzy Petri Net Knowledge Representation Scheme // International Journal of Computer Information Systems and Industrial Management (IJCISIM), 4 (2012), 428-436 (podatak o recenziji nije dostupan, članak, znanstveni)


Naslov
Low- and High-level Image Annotation Using Fuzzy Petri Net Knowledge Representation Scheme

Autori
Ivašić-Kos, Marina ; Ribarić, Slobodan ; Ipšić, Ivo

Izvornik
International Journal of Computer Information Systems and Industrial Management (IJCISIM) (2150-7988) 4 (2012); 428-436

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Image annotation; knowledge representation; Fuzzy Petri Net

Sažetak
In order to exploit the massive image information and to handle overload, techniques for analyzing image content to facilitate indexing and retrieval of images have emerged. In this paper, a low-level and high-level image semantic annotation based on Fuzzy Petri Net is presented. Knowledge scheme is used to define more general and complex semantic concepts and their relations in the context of the examined outdoor domain. A formal description of hierarchical and spatial relationships among concepts from the outdoor image domain is described. The automatic image annotation procedure based on fuzzy recognition and inheritance algorithm, that maps high-level semantics to image, is presented together with experimental results.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekt / tema
036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Slobodan Ribarić, )
318-0361935-0852 - Govorne tehnologije (Ivo Ipšić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Rijeci - Odjel za informatiku

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