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http://dx.doi.org/10.9708/jksci.2015.20.2.047

A System for Extraction of Audience Reaction Based on Neural Network  

Baek, Yeong-Tae (Dept. of Smart Contents, Kimpo University)
You, Eun-Soon (Institute of Media Content, Dankook University)
Park, Seung-Bo (IUT, Inha University)
Publication Information
Journal of the Korea Society of Computer and Information / v.20, no.2, 2015 , pp. 47-54 More about this Journal
Abstract
Emotional reaction of audience can be decided by observing reaction of audience for content. We can use a method to analyze visual data from video camera to detect reaction of audience fast and economically. This paper proposes the method and system to observe audience reaction from visual data of audience and define via neural network. Also we propose a new method to detect automatically an area for audience reaction with face detection to improve a fixed area assignment method which has a limitation not to adapt depending on audiences. Additionally, the evaluation is implemented to show that the proposed method and system is effective. The proposed method showed the performance elevation of 10.5 % (7.75 hit ration) compared to a fixed area assignment method.
Keywords
Audience reaction; Neural network; Audience area; Performance; Face detection;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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