An algorithm for automatically selecting information processing codecs to improve the efficiency of video stream transmission
Abstract
An algorithm for automatically selecting information processing codecs to improve the efficiency of video stream transmission
Incoming article date: 07.01.2026Developing video surveillance systems is a relevant and in-demand topic today. Increasing security requirements are leading to an increasing number of cameras in a system and creating a greater workload, prompting a reconsideration of video surveillance system design methods. This article describes an algorithm developed by the authors for automatically selecting a video stream processing codec in video surveillance systems. Modern video surveillance systems generate enormous volumes of data, requiring effective compression methods for storing, transmitting, and processing video streams. Selecting the appropriate codec affects image quality, network load, and computing resources, which is especially important in the context of increasing camera resolutions (4K, 8K) and the development of intelligent video analytics. In this regard, this article discusses an approach to improving video stream transmission efficiency based on the automatic selection of data processing codecs. The proposed algorithm adapts compression parameters to the current state of the scene, illumination levels, and the dynamics of objects in the frame. Using this approach allows us to reduce the requirements for communication channel bandwidth and storage capacity without significantly degrading image quality, which is especially important for distributed video surveillance systems.
Keywords: video surveillance, compression codec, video stream, automatic codec selection algorithm for video stream processing, frame difference method, signal-to-noise ratio, video coding, adaptive coding