Video Data Compression Using Multilayer Perceptrons
In this paper, we present a neural network-based approach to the problem of video compression. In particular, an MPEG-like encoder is proposed, in which a novel scheme is proposed for a very low cost motion compensation of the frames which lie in between I or P frames. To code the error information of the inter coded frames, several multilayer perceptron are utilised, which operate on both two- and three-dimensional data.
Simulation results are also presented, which show the peculiar characteristics of the proposed approach.
KeywordsEntropy Expense Extractor
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