Approach for Enhancing the Availability of Low-Information Video Segments within a Video Information Resource

The importance of the video data resource in various practical domains is justified. This encompasses control systems, video surveillance, monitoring, and video conferencing. It is evident that there is an imbalance between the intensity of the video stream and the existing characteristics that ensure the bandwidth of information and telecommunication systems. This discrepancy results in a conflict with the specified requirements for the quality attributes of video services. Consequently, there arises a necessity to elevate the accessibility of video data re-sources while preserving their integrity through the application of information and telecommunication technologies. These tech-nologies are employed at various stages of video data delivery. Consequently, a contradiction arises with modern coding tech-nologies, primarily due to the inverse relationship between the volume of encoded segments and their semantic integrity. It is substantiated that less informative segments can facilitate the implementation of novel processing methods, resulting in a reduction in the bit volume of segments. This, in turn, creates favorable conditions for augmenting the overall integrity of video resources. Hence, the objective of this article is to devise a methodology for encoding low-informative segments within a video data resource to enhance their accessibility. This method involves crafting a syntactic description of the condensed repre-sentation of areas. Nonetheless, it is essential to note that this approach does not compromise the semantic integrity of the video resource. The method comprises the following procedural steps: firstly, reducing psychovisual redundancy in the temporal dimension by identifying areas suitable for local correction and rounding the fundamental elements of these areas to six upper bits. Secondly, eliminating structural redundancy by generating parameters to describe the areas suitable for correction