Deep memory and prediction neural network for video prediction

文献类型： 外文期刊

第一作者： Liu, Zhipeng

作者： Liu, Zhipeng;Chai, Xiujuan;Chen, Xilin;Chai, Xiujuan;Liu, Zhipeng;Chen, Xilin

作者机构：

关键词： Video prediction; Predictive error; Memory mechanism; Neural network

期刊名称：NEUROCOMPUTING （ 影响因子：5.719； 五年影响因子：4.986 ）

ISSN： 0925-2312

年卷期： 2019 年 331 卷

页码：

收录情况： SCI

摘要： Inspired by the concept of memory mechanism and predictive coding from the cognitive neuroscience, this paper presents a deep memory and prediction neural network (DMPNet) for video prediction. Correspondingly, memory and error propagation units are designed in DMPNet to capture the previous spatial-temporal information and compute current predictive error which is forwarded to the prediction unit for correcting the subsequent video prediction. Subsequently, prediction unit takes the information stored in memory unit and predictive error of previous frame as input to predict the next frame. We evaluate our method on two public real-world datasets and demonstrate that the proposed DMPNet outperforms some state-of-the-art methods quantitatively and qualitatively. (C) 2018 Elsevier B.V. All rights reserved.

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