Automatic image annotation refinement using fuzzy inference algorithms (CROSBI ID 625762)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ivašić-Kos, Marina ; Pobar, Miran ; Ribarić, Slobodan
engleski
Automatic image annotation refinement using fuzzy inference algorithms
Facilitating tasks such as image search is one of the goals of image annotation methods that automatically assign keywords to images. In order to achieve as accu-rate annotation on object level as possible, and to reduce negative influence of misclassified objects on the inference of scenes, a knowledge based refinement of object classification results is proposed. A fuzzy knowledge representation scheme called KRFPNr is used to represent knowledge about objects and their relations. Fuzzy inheritance and intersection algorithms are used to refine the image annotation on object level by discarding or replacing object labels that do not fit the context.
automatic image annotation ; annotation refinement ; fuzzy knowledge representation scheme ; fuzzy inference algorithms
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
1446-1451.
2015.
objavljeno
10.2991/ifsa-eusflat-15.2015.205
Podaci o matičnoj publikaciji
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Luis Magdalena Layos
Gijon: Atlantis Press
Podaci o skupu
16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT)
predavanje
30.06.2015-03.07.2015
Gijón, Španjolska
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo