TGSL-Dependent Feature Selection for Boosting the Visual Sentiment Classification

TGSL-Dependent Feature Selection for Boosting the Visual Sentiment Classification

The automatic recognition of the emotions in still images is inherently more challenging than other visual recognition tasks, such as scene recognition, object classification and semantic image classification, as it involves a higher level of abstraction in the human cognition perspective. Symmetry...

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Bibliographic Details
Main Authors: Usha Kingsly Devi Karuthakannan, Gomathi Velusamy
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Symmetry
Subjects:
visual sentiment analysis
pre-trained models
feature selection
affective computing
data augmentation
Online Access:https://www.mdpi.com/2073-8994/13/8/1464

Internet

https://www.mdpi.com/2073-8994/13/8/1464

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