Deep Learning Based Emotion Recognition for Image and Video Signals: Matlab Implementation - Brossura

Ashraf, Arselan; Gunawan, Teddy Surya; Kartiwi, Mira

 
9786203583564: Deep Learning Based Emotion Recognition for Image and Video Signals: Matlab Implementation
Brossura
ISBN 10: 6203583561 ISBN 13: 9786203583564
Casa editrice: LAP LAMBERT Academic Publishing, 2021

Sinossi

Emotion recognition utilizing pictures, videos, or speech as input is considered an intriguing issue in the research field over certain years. The introduction of deep learning procedures like the Convolutional Neural Networks (CNN) has made emotion recognition achieve promising outcomes. This book is carried out to develop an image and video-based emotion recognition model using CNN for automatic feature extraction and classification with Matlab sample codes. Five emotions are considered for recognition: angry, happy, neutral, sad, and surprise, compared to previous algorithms. Different pre-processing steps have been carried over data samples, followed by the popular and efficient Viola-Jones algorithm for face detection. Evaluating results using confusion matrix, accuracy, F1-score, precision, and recall shows that video-based datasets obtained more promising results than image-based datasets.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
6203583561
ISBN 13 
9786203583564
Rilegatura
Copertina flessibile
Numero di pagine
124
Contatto del produttore
non disponibile
Persona responsabile
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