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Video compression is an essential task in video storage and transmission. In this paper, we worked for compressing the video sequence using Self-organizing map (SOM) and then stored the output feature vector of SOM using Hopfield Neural Network. The SOM algorithm is based on unsupervised, competitive learning. It extracts the useful features from video frames by feature extraction method. In our approach,...
The Pattern Storage for the Continuum Features of the pattern can be characterized with the Self Organizing Map and Hopfield Energy Function Analysis. The Competitive Learning for the Self Organizing Map determines the Feature Mapping for the patterns with the Continuum Features. The iterations of the competitive learning between the Input Layer, the Feedback Layer reduce the neighboring region in...
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