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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |