Title | Video and image processing with self-organizing neural networks |
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Authors | García-Rodríguez, J., Domínguez, E., Angelopoulou, A., Psarrou, A., Mora-Gimeno, F.J., Orts, S. and García-Chamizo, J.M. |
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Abstract | This paper aims to address the ability of self-organizing neural network models to manage video and image processing in real-time. The Growing Neural Gas networks (GNG) with its attributes of growth, flexibility, rapid adaptation, and excellent quality representation of the input space makes it a suitable model for real time applications. A number of applications are presented that includes: image compression, hand and medical image contours representation, surveillance systems, hand gesture recognition systems or 3D data reconstruction. |
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Keywords | Growing Neural Gas, topology preservation, real time, objects representation, parallelism |
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Year | 2011 |
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Publisher | Springer |
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Publication dates | 2011 |
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ISBN | 9783642214974 |
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Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-642-21498-1_13 |
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Web address (URL) | http://www.scopus.com/inward/record.url?eid=2-s2.0-79957959540&partnerID=MN8TOARS |
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Book title | Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011 |
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Event | 11th International Work-Conference on Artificial Neural Networks, IWANN 2011 |
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Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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