Real-time video quality assessment based on fuzzy inference system for analog television tracking antenna system

Real-Time VQA (Video Quality Assessment) is very important for the tracking antenna system on an analog television in the decision making related to the direction of the antenna. This paper proposes VQA system based on FIS (Fuzzy Inference System) that works in real-time to process information from analog signals on AV-Out television. The VQA system can be said to work well if the output results show that the perception of the system is almost close to the perception of the user in assessing the video clarity level. In this research, simulation is performed using MATLAB Toolbox and then implemented by using AVR AT Mega 32 A microcontroller. Result of trial shows that there is no significant difference between simulation and implementation with percentage difference of only 1.74%. Other trial results prove that the perception of VQA system that has been built almost approach the user's perception in assessing the video clarity level. This is evident from the percentage of accuracy on VQA system that reaches 79% to 95%.