Sequence-to-Sequence Video Prediction by Learning Hierarchical Representations

Video prediction which maps a sequence of past video frames into realistic future video frames is a challenging task because it is difficult to generate realistic frames and model the coherent relationship between consecutive video frames. In this paper, we propose a hierarchical sequence-to-sequenc...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Kun Fan, Chungin Joung, Seungjun Baek
Format:	Article
Language:	English
Published:	MDPI AG 2020-11-01
Subjects:	convolutional neural network hierarchical features long short-term memory recurrent neural network video prediction
Online Access:	https://www.mdpi.com/2076-3417/10/22/8288