| 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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ABSTRACT
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| 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.
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| 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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