Self-Attention (SA)-ConvLSTM Encoder–Decoder Structure-Based Video Prediction for Dynamic Motion Estimation

Video prediction, which is the task of predicting future video frames based on past observations, remains a challenging problem because of the complexity and high dimensionality of spatiotemporal dynamics. To address the problems associated with spatiotemporal prediction, which is an important decis...

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Veröffentlicht in:	Applied sciences Jg. 14; H. 23; S. 11315
Hauptverfasser:	Kim, Jeongdae, Choo, Hyunseung, Jeong, Jongpil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2024
Schlagworte:	Computational linguistics Datasets encoder–decoder Forecasts and trends Language processing Natural language interfaces Neural networks Performance evaluation SA-ConvLSTM self-attention memory module spatiotemporal video prediction
ISSN:	2076-3417, 2076-3417
Online-Zugang:	Volltext
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