Video and image processing with self-organizing neural networks

García-Rodríguez, J., Domínguez, E., Angelopoulou, A., Psarrou, A., Mora-Gimeno, F.J., Orts, S. and García-Chamizo, J.M. 2011. Video and image processing with self-organizing neural networks. Springer.

TitleVideo and image processing with self-organizing neural networks
AuthorsGarcía-Rodríguez, J., Domínguez, E., Angelopoulou, A., Psarrou, A., Mora-Gimeno, F.J., Orts, S. and García-Chamizo, J.M.
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.

KeywordsGrowing Neural Gas, topology preservation, real time, objects representation, parallelism
Year2011
PublisherSpringer
Publication dates2011
ISBN9783642214974
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-642-21498-1_13
Web address (URL)http://www.scopus.com/inward/record.url?eid=2-s2.0-79957959540&partnerID=MN8TOARS
Book titleAdvances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011
Event11th International Work-Conference on Artificial Neural Networks, IWANN 2011
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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