Sparse Spatial-Temporal Emotion Graph Convolutional Network for Video Emotion Recognition

Video emotion recognition has attracted increasing attention. Most existing approaches are based on the spatial features extracted from video frames. The context information and their relationships in videos are often ignored. Thus, the performance of existing approaches is restricted. In this study...

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Detalles Bibliográficos
Autores principales: Liu, Xiaodong, Xu, Huating, Wang, Miao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534632/
https://www.ncbi.nlm.nih.gov/pubmed/36211003
http://dx.doi.org/10.1155/2022/3518879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534632/
https://www.ncbi.nlm.nih.gov/pubmed/36211003
http://dx.doi.org/10.1155/2022/3518879

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