Generative adversarial networks with stochastic gradient descent with momentum algorithm for video-based facial expression

Video data is an asset that may be used in various settings, such as a live broadcast on a personal blog or a security camera at a manufacturing facility. Both of these examples are examples of how video data can be used. It is becoming increasingly common practice across a wide range of application...

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Bibliographic Details
Published in:	International journal of information technology (Singapore. Online) Vol. 16; no. 6; pp. 3703 - 3722
Main Authors:	Cherian, Aswathy K., Vaidhehi, M., Arshey, M., Briskilal, J., Simpson, Serin V.
Format:	Journal Article
Language:	English
Published:	Singapore Springer Nature Singapore 01.08.2024 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Classification Communication Computer Imaging Computer Science Computer vision Emotions Facial recognition technology Frames (data processing) Generative adversarial networks Image Processing and Computer Vision Image segmentation Machine Learning Motion pictures Neural networks Optimization techniques Original Research Pattern Recognition and Graphics Performance evaluation Software Engineering Video compression Video data Vision Attention model Video surveillance Face recognition Generative Adversarial Networks (GAN) Stochastic gradient descent with momentum algorithm (SGDMA)
ISSN:	2511-2104, 2511-2112
Online Access:	Get full text
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