A summarization of image and video databases for emotion recognition

In the past decades, human-computer interaction has become increasingly signifi-cant in our day to day lives. Many kinds of research have been conducted in the area of memory research, depression detection, and behavioural insufficiency identification, lie detection (covered up), and emotion recogni...

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Main Authors: Ashraf, Arselan, Gunawan, Teddy Surya, Abdul Rahman, Farah Diyana, Kartiwi, Mira
Format: Book Chapter
Language:English
English
Published: Springer 2020
Subjects:
Online Access:http://irep.iium.edu.my/82533/
http://irep.iium.edu.my/82533/2/Paper_178.pdf
http://irep.iium.edu.my/82533/1/Acceptance%20Letter_DrTeddy_IIUM.pdf
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author Ashraf, Arselan
Gunawan, Teddy Surya
Abdul Rahman, Farah Diyana
Kartiwi, Mira
author_facet Ashraf, Arselan
Gunawan, Teddy Surya
Abdul Rahman, Farah Diyana
Kartiwi, Mira
author_sort Ashraf, Arselan
building IIUM Repository
collection Online Access
description In the past decades, human-computer interaction has become increasingly signifi-cant in our day to day lives. Many kinds of research have been conducted in the area of memory research, depression detection, and behavioural insufficiency identification, lie detection (covered up), and emotion recognition. Thus, the quantity of nonexclusive feeling and image/video databases or those custom-made to precise requirements have become enormous. In this way, an extensive yet minimal guide is expected to assist analysts with finding the most appropriate image/video database and comprehend what sorts of image/video databases as of now exist. In this paper, different elicitation strategies are discussed, and the da-tabases are basically categorized into a slick and enlightening comparison table in order to be used for emotion recognition model.
first_indexed 2025-11-14T17:54:45Z
format Book Chapter
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institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T17:54:45Z
publishDate 2020
publisher Springer
recordtype eprints
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spelling iium-825332020-09-18T02:41:17Z http://irep.iium.edu.my/82533/ A summarization of image and video databases for emotion recognition Ashraf, Arselan Gunawan, Teddy Surya Abdul Rahman, Farah Diyana Kartiwi, Mira TK7885 Computer engineering In the past decades, human-computer interaction has become increasingly signifi-cant in our day to day lives. Many kinds of research have been conducted in the area of memory research, depression detection, and behavioural insufficiency identification, lie detection (covered up), and emotion recognition. Thus, the quantity of nonexclusive feeling and image/video databases or those custom-made to precise requirements have become enormous. In this way, an extensive yet minimal guide is expected to assist analysts with finding the most appropriate image/video database and comprehend what sorts of image/video databases as of now exist. In this paper, different elicitation strategies are discussed, and the da-tabases are basically categorized into a slick and enlightening comparison table in order to be used for emotion recognition model. Springer 2020-07 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/82533/2/Paper_178.pdf application/pdf en http://irep.iium.edu.my/82533/1/Acceptance%20Letter_DrTeddy_IIUM.pdf Ashraf, Arselan and Gunawan, Teddy Surya and Abdul Rahman, Farah Diyana and Kartiwi, Mira (2020) A summarization of image and video databases for emotion recognition. In: Springer's Lecture Nores in Electrical Engineering (LNEE). Springer, pp. 1-10. (In Press)
spellingShingle TK7885 Computer engineering
Ashraf, Arselan
Gunawan, Teddy Surya
Abdul Rahman, Farah Diyana
Kartiwi, Mira
A summarization of image and video databases for emotion recognition
title A summarization of image and video databases for emotion recognition
title_full A summarization of image and video databases for emotion recognition
title_fullStr A summarization of image and video databases for emotion recognition
title_full_unstemmed A summarization of image and video databases for emotion recognition
title_short A summarization of image and video databases for emotion recognition
title_sort summarization of image and video databases for emotion recognition
topic TK7885 Computer engineering
url http://irep.iium.edu.my/82533/
http://irep.iium.edu.my/82533/2/Paper_178.pdf
http://irep.iium.edu.my/82533/1/Acceptance%20Letter_DrTeddy_IIUM.pdf