Video Metrics and Parameters for Achieving Optimal Quality in Low Delay Communication Networks

The need for optimal video quality over low delay communication networks is very crucial as their demand increases dramatically. Analysing, evaluating and exploring the codec metrics which can enhance the video quality when transporting the video over low delay communication networks has been a key issue of concern which requires thorough simulation and experimentation. Metrics such as quantization size, frame rate and frame size can significantly enhance the quality video. In this paper, the impacts of frame size, frame rate and quantization parameter on the compressed video quality has been investigated. More extensive simulations have been conducted in order to experiment different scenarios using various video samples at different frame sizes, quantization parameters, loss rate and encoding rate as well. More importantly, both low, medium and high complexity video samples have been examined to determine the impact of the aforementioned parameters on fundamental basic parameters which are essential toward yielding high-quality video while compressing videos. The experimental results show that increase in quantization parameter reduces the bits size and consequently leads to high compression.