CREATION OF METHODOLOGICAL BASIS FOR IDENTIFICATION OF SIGNIFICANT SEGMENTS FROM THE POINT OF VIEW OF PRESERVATION OF SEMANTIC INTEGRITY OF A VIDEO RESOURCE

Abstract

The necessity of further improvement of technologies of effective syntactic coding of video information resources for ensuring their information security in systems of critical infrastructure is proved. It is shown that one of the stages is required to use the methods of identification of video frame segments by the degree of their saturation with structural elements. It is proved that it creates conditions for further decrease in bit volume, and consequently and increase of level of categories of availability and integrity of information resources. Development of identification of significant segments from the position of preservation of semantic integrity of video resource on the basis of use of system of rules for decision-making on information on structural and statistical properties of microsegments on a brightness component of color representation of a video frame is stated. Built a system of rules to identify segments of the video according to their degree of importance from the position maintain the necessary level of integrity of objects of interest, given the information value of local areas (these micro-segments) of the video frame, characterized by a greater homogeneity of their structural and statistical properties. The basic components of such a rule are substantiated, which include: at the first level, a system of comparisons of the indicator characterizing the level of structural and statistical saturation of microsegments with upper and lower threshold values is created. This is one of the three types of microsegment, characterized by respectively high, seredni ABO niskim runem structural statisticno nasyshennost on syntaxical run the description; the second level is the system of decision rules relative to the importance of the segment from the position of the SSTs of the video resource based on usage information about the number of these micro-segments with different levels of structural-statistical saturation. It is shown that the processing time delays are reduced due to the fact that the identification process is carried out only on the brightness component of the color representation of the video frame, which carries the main information load among the other color components.