METHOD OF CODING TRANSFORMED VIDEO IMAGES IN STRUCTURE-CLUSTER SPACE
DOI:
https://doi.org/10.18372/2310-5461.55.16903Keywords:
video image, compression, quantization, information intensity, structural cluster, clustered elementAbstract
The article provides a general description of the problems of information support for critical infrastructure management systems in modern conditions using remote mobile sensors on aviation platforms. The basis here is the imbalance between the reliability of the information received and the speed of its receipt, taking into account the on-board video data transmission channels. The increase in the information load on the channels of information transmission about the objects of monitoring is justified. The requirements for time delays for the delivery of video information and its reliability in accordance with the requirements of the QoS system and the standards STANAG 4545: 2013, STANAG 4586: 2012 are briefly given. The direction of implementation of such requirements is proposed by resolving the issue of increasing the likelihood of channel errors during data transmission through communication channels and the occurrence of information losses in the process of compressing the volumes of video images. The disadvantages of existing noise-resistant coding technologies are briefly revealed, which make it possible to increase the reliability of video information in the process of its transmission. And also reveals the shortcomings of existing technologies for reducing the information intensity of video data. Among these disadvantages are: the additional use of redundant binary sequences, and therefore an increase in the initial volumes of video data; the gain in efficiency is compensated by the destruction of the semantic component of the video image, and therefore the risks of loss of reliability of information increase. Solving the imbalance of video data delivery is proposed to be solved by developing methods for encoding transformed video images to increase their compression in conditions of ensuring the required reliability. The improvement of coding technologies for transformed video segments through the use of their preliminary clustering is justified. taking into account the number of series of units in the binary syntactic description of the components of the transformer. The method of formation of structural clusters of clustered components of transforms is proposed on the basis of the content of their binary description – the number of series of units. The main stages of the developed method of coding transformed video segments in the structural space are outlined. Keywords: video image, compression, quantization, information intensity, structural cluster, clustered element.
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