A RNN-based objective video quality measurement

Technology used to automatically assess video quality plays a significant role in video processing areas.Because of the complexity of video media, there are great limitations to assess video quality with only one factor.We propose a new method using artificial random neural networks (RNNs) with motion evaluation as an estimation of perceived visual distortion.The results are obtained through a nonlinear fitting procedure and well correlated with human perception.Compared with other methods, the proposed method performs more adaptable and accurate predictions.