A RNN-based objective video quality

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： 中國光學快報(英文版)  ISTIC EI 英文刊名： CHINESE OPTICS OF LETTERS  年，卷(期)： 2009 07(11)  分類號： O4  關鍵詞：  

【A RNN-based objective video quality 】相關文章：

Life of High Quality05-04

quality (a.)有品質的05-04

Questionnaire Research on Indoor Environment Quality in China04-27

英文求職信-Quality Assurance04-26

計算機英語高級詞匯·Video05-04

計算機英語高級詞匯·Video Equipment05-04

Coastal Water Quality Assessment by Self-Organizing Map04-26

外貿英語900句之 品質Quality05-04

Incorporating sorption/desorption of organic pollutants into river water quality model04-26

Combined Method of Chaotic Theory and Neural Networks for Water Quality Prediction04-26