Запис Детальніше

IMAGE SEQUENCES TEXTURE ANALYSIS BASED ON VECTOR QUANTIZATION

Науковий журнал «Радіоелектроніка, інформатика, управління»

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##plugins.schemas.marc.fields.042.name## dc
 
##plugins.schemas.marc.fields.245.name## IMAGE SEQUENCES TEXTURE ANALYSIS BASED ON VECTOR QUANTIZATION
 
##plugins.schemas.marc.fields.720.name## Bogucharskiy, S. I.; Kharkiv National University of Radio Electronics, Ukraine
Mashtalir, S. V.; Kharkiv National University of Radio Electronics, Ukraine
 
##plugins.schemas.marc.fields.653.name## image, texture, clustering, matrix algorithm, neural networks.
 
##plugins.schemas.marc.fields.520.name## <p>The approach for the image sequence (videodata) analysis is proposed. For this purpose, the matrix analogs of existing neural network approaches is developed. This aallows to takes into account the spatial relationships of multimedia information, and to reduce the time of information processing through the introduction of a new neural network matrix training procedures. The texture isselected as a basic characteristic for original data partition, which, in turn, improves the clustering accuracy.</p>
 
##plugins.schemas.marc.fields.260.name## Zaporizhzhya National Technical University
2015-01-27 10:16:30
 
##plugins.schemas.marc.fields.856.name## application/pdf
http://ric.zntu.edu.ua/article/view/37094
 
##plugins.schemas.marc.fields.786.name## Radio Electronics, Computer Science, Control; No 2 (2014): Radio Electronics, Computer Science, Control
 
##plugins.schemas.marc.fields.546.name## ru
 
##plugins.schemas.marc.fields.540.name## Copyright (c) 2015 S. I. Bogucharskiy, S. V. Mashtalir