Marker Information Coding for Structural Clustering of Spectral Space

Abstract

The article substantiates the necessity of relatively processing fairly informative video segments in conditions of reducing their bit volume; reducing quality losses of reconstructed video; ensuring stability of codograms to the influence of communication channel errors on the video frame recovery process. The main stages of the method of coding arrays of structural clusters markers are presented. Here, it is taken into account that the marker structural clustering is carried out in the spectral space of the discrete cosine transform (hereinafter DCT) transformant. Coding concepts for informative markers and lengths of marker chains are justified. Structural and statistical properties of marker sequences for the clustered spectral space by such a structural feature as the number of unit series are taken into account here. A model of representation of marker sequences by twocomponent tuples in the linearized spectral space is developed.