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Pregled bibliografske jedinice broj: 570044

Časopis

Autori: Ivašić-Kos, Marina; Ribarić, Slobodan; Ipšić, Ivo
Naslov: Low- and High-level Image Annotation Using Fuzzy Petri Net Knowledge Representation Scheme
( Low- and High-level Image Annotation Using Fuzzy Petri Net Knowledge Representation Scheme )
Izvornik: International Journal of Computer Information Systems and Industrial Management (IJCISIM) (2150-7988) 4 (2012); 428-436
Vrsta rada: članak
Ključne riječi: image annotation; knowledge representation; Fuzzy Petri Net
( 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.
Projekt / tema: 318-0361935-0852, 036-0361935-1954
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Informacijske i komunikacijske znanosti
URL Internet adrese: http://www.mirlabs.org/ijcisim/regular_papers_2012/Paper47.pdf
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: DA
Google Scholar: Low- and High-level Image Annotation Using Fuzzy Petri Net Knowledge Representation Scheme
Upisao u CROSBI: marinai@uniri.hr (marinai@uniri.hr), 4. Vel. 2012. u 13:26 sati



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