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   作者單位： Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China  刊 名： 中國(guó)光學(xué)快報(bào)(英文版)  ISTIC EI 英文刊名： CHINESE OPTICS OF LETTERS  年，卷(期)： 2009 07(11)  分類(lèi)號(hào)： O4  關(guān)鍵詞：  

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