An Audiovisual Correlation Matching Method Based on Fine-Grained Emotion and Feature Fusion

Most existing intelligent editing tools for music and video rely on the cross-modal matching technology of the affective consistency or the similarity of feature representations. However, these methods are not fully applicable to complex audiovisual matching scenarios, resulting in low matching accu...

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Bibliographic Details

Main Authors:	Zhibin Su, Yiming Feng, Jinyu Liu, Jing Peng, Wei Jiang, Jingyu Liu
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2024-08-01
Series:	Sensors
Subjects:	fine-grained affects music–video matching audiovisual association CCA feature fusion factor analysis hybrid matching model
Online Access:	https://www.mdpi.com/1424-8220/24/17/5681
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