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.
作 者： Xuan Huang Rong Zhang Jianxin Pang 作者单位： Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China 刊 名： 中国光学快报(英文版) ISTIC EI 英文刊名： CHINESE OPTICS OF LETTERS 年，卷(期)： 2009 07(11) 分类号： O4 关键词：