Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes

A novel method based on time-lag aware multi-modal variational autoencoder for prediction of important scenes (TI-MVAE-PIS) using baseball videos and tweets posted on Twitter is presented in this paper. This paper has the following two technical contributions. First, to effectively use heterogeneous...

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Bibliographic Details

Published in:	Proceedings - International Conference on Image Processing pp. 2678 - 2682
Main Authors:	Hirasawa, Kaito, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.01.2021
Subjects:	Blogs Conferences Estimation Image processing important scene prediction Multimodal variational autoencoder Social networking (online) sports video time-lag Transforms Twitter Visualization
ISSN:	2381-8549
Online Access:	Get full text
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