Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets

In this study, a novel prediction method for predicting important scenes in baseball videos using a time-lag aware latent variable model (Tl-LVM) is proposed. Tl-LVM adopts a multimodal variational autoencoder using tweets and videos as the latent variable model. It calculates the latent features fr...

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Detalles Bibliográficos
Autores principales: Hirasawa, Kaito, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002476/
https://www.ncbi.nlm.nih.gov/pubmed/35408079
http://dx.doi.org/10.3390/s22072465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002476/
https://www.ncbi.nlm.nih.gov/pubmed/35408079
http://dx.doi.org/10.3390/s22072465

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