Naslov
Multi-layered Image Representation for Image Interpretation

Autori
Ivašić-Kos, Marina ; Pobar, Miran ; Ipšić, Ivo

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 25th International Conference on Computational Linguistics (COLING 2014) / - Dublin, 2014, 115-117

ISBN
978-1-873769-28-1

Skup
The 3rd Annual Meeting Of The EPSRC Network On Vision & Language and The 1st Technical Meeting of the European Network on Integrating Vision and Language

Mjesto i datum
Dublin, Irska, 23.08.2014. - 29.08.2014

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
image annotation; petri net; knowledge representation scheme; bayesian classifier

Sažetak
In order to bridge the semantic gap between the visual context of an image and semantic concepts people would use to interpret it, we propose a multi-layered image representation model considering different amounts of knowledge needed for the interpretation of the image at each layer. Interpretation results on different semantic layers of Corel images related to outdoor scenes are presented and compared. Obtained results show positive correlation of precision and recall with the abstract level of classes used for image annotation, i.e. more generalized classes have achieved better results.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA