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N. Simou, Th. Athanasiadis, S. Kollias, G. Stamou, A. Stafylopatis
Semantic Adaptation of Neural Network Classifiers in Image Segmentation
18th International Conference on Artificial Neural Networks (ICANN 2008), pp. 907-916, September 2008, Prague, Czech Republic.
ABSTRACT
Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
03 September, 2008
N. Simou, Th. Athanasiadis, S. Kollias, G. Stamou, A. Stafylopatis, "Semantic Adaptation of Neural Network Classifiers in Image Segmentation", 18th International Conference on Artificial Neural Networks (ICANN 2008), pp. 907-916, September 2008, Prague, Czech Republic.
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