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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Vydané v:	Applied sciences Ročník 14; číslo 23; s. 11315
Hlavní autori:	Kim, Jeongdae, Choo, Hyunseung, Jeong, Jongpil
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2024
Predmet:	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
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