A summarization of image and video databases for emotion recognition

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)

	PDF - Accepted Version Restricted to Repository staff only Download (335kB) | Request a copy
	PDF - Supplemental Material Restricted to Repository staff only Download (244kB) | Request a copy

Abstract

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.

Item Type:	Book Chapter
Additional Information:	5588/82533
Uncontrolled Keywords:	Emotion recognition, image emotion databases, video emotion databases.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	18 Sep 2020 10:41
Last Modified:	18 Sep 2020 10:41
URI:	http://irep.iium.edu.my/id/eprint/82533

Actions (login required)

View Item