NDLI: Emotion recognition from facial image analysis using composite similarity measure aided bidimensional empirical mode decomposition

Content Provider	IEEE Xplore Digital Library
Author	Bhattacharya, Arghya Choudhury, Dwaipayan Dey, Debangshu
Copyright Year	2016
Description	Author affiliation: Dept. of Electrical Engineering, Jadavpur University (Bhattacharya, Arghya; Choudhury, Dwaipayan; Dey, Debangshu)
Abstract	The aim of this work is to automatically detect and analyse the emotions from the digital videos and images. Initially the images are extracted from pre-recorded videos, from which the faces are cropped automatically. The training dataset is formed with minimal number of images per subject for each emotion. Bi-dimensional Empirical Mode Decomposition (BEMD) is used to decompose the images in its Intrinsic Mode Functions (IMF). Composite Similarity Measure (CSM) based classification has been employed to detect the correct emotion from the images. "ENTERFACE'05 Audio-Visual Emotion Database", "JAFFE Database" and a database developed in laboratory called "DCAB database" are used to test the performance of the proposed method. The advantage of this method is to be able to classify or rank the emotions found in an image or a video even when the image or video is subjected to feature occlusion such as the subject putting on spectacles or sunglasses. Moreover, it is robust to illumination, different view point and background colour of the image or video. The performance is also invariant to the dress, hair style, facial hair or moustache of the subject. This method is also able to overcome the problem related to ageing to some extent.
Starting Page	336
Ending Page	340
File Size	584396
Page Count	5
File Format	PDF
e-ISBN	9781479917693
DOI	10.1109/CMI.2016.7413766
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Emotion recognition Empirical mode decomposition Bi-dimensional Empirical Mode Decomposition Databases Video Processing Intrinsic Mode Functions Hidden Markov models Feature extraction Composite Similarity Measure Image reconstruction Videos
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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