Multitask Learning-Based Affective Prediction for Videos of Films and TV Scenes

Film and TV video scenes contain rich art and design elements such as light and shadow, color, composition, and complex affects. To recognize the fine-grained affects of the art carrier, this paper proposes a multitask affective value prediction model based on an attention mechanism. After comparing...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Zhibin Su, Shige Lin, Luyue Zhang, Yiming Feng, Wei Jiang
Format:	Article
Language:	English
Published:	MDPI AG 2024-05-01
Subjects:	film and TV scenes multitask learning fine-grained affects affective value prediction
Online Access:	https://www.mdpi.com/2076-3417/14/11/4391