Abstract
Both Information Compression and Parallel Processing are key issues nowadays. And both are our framework for our proposal. Our purpose was to accomplish an exhaustive study about patterns recognition using backpropagation neural networks with multilayer perceptron topology for its subsequent application to image and video compression. The mathematical study of learning algorithms and construction of neural nets encompassed the greater part of our time for this study. The next step was to design the most appropriate neural net for our objective through the paradigm of the oriented-object programming. © 2009 Springer Berlin Heidelberg.
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Palacio, D. Z., Crespo, R. G., Fernández, G. G., & Novelle, I. R. (2009). Image/Video compression with artificial neural networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 330–337). https://doi.org/10.1007/978-3-642-02481-8_47
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