In this work, we propose a technique for facial expression recognition to bridge the semantic gap among the features that can be extracted in a content-based video retrieval system. The paper aims to provide accurate and reliable facial expression recognition of a dominant person in video frames using deterministic binary cellular automata (DBCA). Both geometric and appearance-based features are used. Efficient dimension reduction techniques for face detection and recognition are applied. Using the facial action coding system (FACS), one can code automatically nearly any anatomically possible facial expression, deconstructing it into what are called as action units (AUs). By employing two-dimensional deterministic binary cellular automaton systems (2D-DBCA), a scheme is developed to classify the facial expressions representing various emotions to retrieve video scenes/shots. Extensive experiments on Cohn–Kanade database, Yale database, and large movie videos show the superiority of the proposed method, in comparison with support vector machines (SVMs), hidden Markov models (HMMs), and neural network (NN) classifiers.
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December 2014
Research-Article
Facial Expression Analysis for Content-Based Video Retrieval
P. Geetha,
P. Geetha
1
Research Scholar
e-mail: geethap@annauniv.edu
Computer Science Engineering Department
,Sathyabama University
,Chennai 600109
, India
e-mail: geethap@annauniv.edu
1Corresponding author.
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Vasumathi Narayanan
Vasumathi Narayanan
Professor
Electronics and Communication
Engineering Department,
e-mail: vasumathin@yahoo.com
Electronics and Communication
Engineering Department,
St. Joseph's College of Engineering
,Chennai 600109
, India
e-mail: vasumathin@yahoo.com
Search for other works by this author on:
P. Geetha
Research Scholar
e-mail: geethap@annauniv.edu
Computer Science Engineering Department
,Sathyabama University
,Chennai 600109
, India
e-mail: geethap@annauniv.edu
Vasumathi Narayanan
Professor
Electronics and Communication
Engineering Department,
e-mail: vasumathin@yahoo.com
Electronics and Communication
Engineering Department,
St. Joseph's College of Engineering
,Chennai 600109
, India
e-mail: vasumathin@yahoo.com
1Corresponding author.
Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received June 7, 2011; final manuscript received May 27, 2014; published online September 1, 2014. Editor: Bahram Ravani.
J. Comput. Inf. Sci. Eng. Dec 2014, 14(4): 041001 (6 pages)
Published Online: September 1, 2014
Article history
Received:
June 7, 2011
Revision Received:
May 27, 2014
Citation
Geetha, P., and Narayanan, V. (September 1, 2014). "Facial Expression Analysis for Content-Based Video Retrieval." ASME. J. Comput. Inf. Sci. Eng. December 2014; 14(4): 041001. https://doi.org/10.1115/1.4027885
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