Metrics for Video Quality Assessment in Mobile Scenarios
This work addresses video quality assessment for mobile users and network operators, but it is incremental as it evaluates existing metrics without proposing new methods.
The paper characterized video transmission performance over LTE-A networks using existing quality metrics, finding that Blocking Metrics works best for channel variations but not compression, while BRISQUE effectively quantizes compression distortions and network variations.
With exponential increase in the volumes of video traffic in cellular net-works, there is an increasing need for optimizing the quality of video delivery. 4G networks (Long Term Evolution Advanced or LTE A) are being introduced in many countries worldwide, which allow a downlink speed of upto 1 Gbps and uplink of 100 Mbps over a single base station. This makes a strong push towards video broadcasting over LTE networks, characterizing its performance and developing metrics which can be deployed to provide user feedback of video quality and feed-back them to network operators to fine tune the network. In this paper, we characterize the performance of video transmission over LTE A physical layer using popular video quality metrics such as SSIM, Blocking, Blurring, NIQE and BRISQUE. We conduct experiments to find a suitable no-reference metrics for mobile scenario and find that Blocking Metrics is most promising in case of channel or modulation variations but it does not perform well to quantize variations in compression ratios. The metrics BRISQUE is very efficient in quantizing this distortion and performs well in case of network variations also.