Deep Learning Based Emotion Recognition for Image and Video Signals

Language: English

Published by LAP LAMBERT Academic Publishing Apr 2021, 2021

6203583561 / 9786203583564

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 124 pp. Englisch.

Seller Inventory # 9786203583564

Title
Deep Learning Based Emotion Recognition for Image and Video Signals
Author
Arselan Ashraf
Publisher
LAP LAMBERT Academic Publishing Apr 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6203583561
ISBN 13
9786203583564
Item weight
203 grams
Dimensions
220x150x8 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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First itemUS$ 26.64US$ 26.64
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BuchWeltWeit Ludwig Meier e.K.

Germany