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http://dx.doi.org/10.9728/dcs.2017.18.1.71

Low-Informative Region Detection based on Multi-Layer Perceptron for Automatical Insertion of Virtual Advertisement in Sports Image  

Jung, Jae-Young (Department of Computer Science, Dongyang University)
Kim, Jong-Ha (Department of Architecture & Fire Administration, Dongyang University)
Publication Information
Journal of Digital Contents Society / v.18, no.1, 2017 , pp. 71-77 More about this Journal
Abstract
Virtual advertisement is an advertising technique that using computer graphic in a media production such as a sports image for inserting product image, logo, advertising slogan, etc. Recently, the image insertion of virtual advertisement is actively spreading due to the satisfaction of technical element for the image insertion of virtual advertisement in sports advertisement by increasing of the image processing technology and the computing performance. In addition, image processing technology for automatic insertion has become an important research field in the virtual advertisement field. In this paper, we propose the method of extracting less-informative region by using image processing technique and machine learning to insert a virtual advertisement automatically in sports image. The proposed method analyzes the brightness level of image through the histogram and extracts the less-informative region using the machine learning method.
Keywords
Low-Informative region; Gray-scale; Intensity Histogram; Shift Operation; Multi-Layer Perceptron;
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Times Cited By KSCI : 1  (Citation Analysis)
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