Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder †

A new method for the detection of important scenes in baseball videos via a time-lag-aware multimodal variational autoencoder (Tl-MVAE) is presented in this paper. Tl-MVAE estimates latent features calculated from tweet, video, and audio features extracted from tweets and videos. Then, important sce...

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Detalles Bibliográficos
Autores principales: Hirasawa, Kaito, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999231/
https://www.ncbi.nlm.nih.gov/pubmed/33799412
http://dx.doi.org/10.3390/s21062045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7999231/
https://www.ncbi.nlm.nih.gov/pubmed/33799412
http://dx.doi.org/10.3390/s21062045

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