Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis

A novel method for detection of important scenes in baseball videos based on correlation maximization between heterogeneous modalities via bidirectional time lag aware deep multiset canonical correlation analysis (BiTl-dMCCA) is presented in this paper. The proposed method enables detection of impor...

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Detalhes bibliográficos

Principais autores:	Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2021-01-01
coleção:	IEEE Access
Assuntos:	Unsupervised important scene detection time lag aware canonical correlation maximization anomaly detection generative adversarial network
Acesso em linha:	https://ieeexplore.ieee.org/document/9450798/
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