Holographic Health Calculation Method of Video and Image Based on Fuzzy Comprehensive Evaluation

Abstract

Abstract The intelligent system of video and image information has the characteristics based on large numbers of cameras, exposed and uninterrupted operating environment, rich data types, diverse related systems and complex cascading architecture. How to implement the entire network operation situation by means of automation and intelligent monitoring has become a critical issue. The holographic health of video and images refers to the overall health value of intelligent system of video and image during the operation process, which can objectively reflect the operation situation of the video image, the perceived weaknesses during the operation process of the system, and performs analysis and warning during the process. Based on the comprehensive fuzzy model, this paper constructs a holographic health degree calculation method, designs an operation situation index evaluation system, constructs the factor set and automatically obtains the indicator monitoring value, calculates the influence factor evaluation matrix, and calculates the holographic health degree value through the Eigen-vector. Finally, this article gives the calculation examples and critical numbers extracted from the video image information intelligent system, the description of the health level and the actual situation of the system’s operating state, and verifies the validity of the holographic health degree calculation.