A machine learning based approach for frame work of objective video quality assessment system

Video quality assessment aims to predict viewer's opinion through objective means. A single video quality metric is not sufficient to predict and quantify the test video. Hence, more video quality metrics have to be used for the quantification of video quality. So, hybrid quality metrics are required for quantification of video quality. In this paper, we propose a quality assessment method using machine learning algorithm. The proposed method performs better than other classification techniques.