• Journal of Institute of Control, Robotics and Systems
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• v.20 no.12
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• pp.1259-1266
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• 2014

Road signs provide important safety information about road and traffic conditions to drivers. Road signs include not only common traffic signs but also warning information regarding unexpected obstacles and road constructions. Therefore, accurate detection and identification of road signs is one of the most important research topics related to safe driving. In this paper, we propose a 3-D vision technique to automatically detect and track road signs in a video sequence which is acquired from a stereo vision camera mounted on a vehicle. First, color information is used to initially detect the sign candidates. Second, the SVM (Support Vector Machine) is employed to determine true signs from the candidates. Once a road sign is detected in a video frame, it is continuously tracked from the next frame until it is disappeared. The 2-D position of a detected sign in the next frame is predicted by the 3-D motion of the vehicle. Here, the 3-D vehicle motion is acquired by using the 3-D pose information of the detected sign. Finally, the predicted 2-D position is corrected by template-matching of the scaled template of the detected sign within a window area around the predicted position. Experimental results show that the proposed method can detect and track many types of road signs successfully. Tracking comparisons with two different methods are shown.

• Culinary science and hospitality research
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• v.21 no.3
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• pp.130-138
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• 2015

The purpose of this paper was to study cookies that could be sweetened by consumers through the addition of Morinda citrifolia powder, and also to examine the quality characteristics of such cookies in order to expand the uses of Morinda citrifolia. The addition of Morinda citrifolia powder did not have an observable affect on cookie density, although it did decrease pH levels. A central finding was the lack of significant differences in moisture content of cookies made with Morinda citrifolia powder at the significance level of 5%. Significant differences were found in the diameter, which represents spreadability, in the group of cookies made with Morinda citrifolia powder. The L value decreased considerably with the addition of Morinda citrifolia powder. The control also recorded the highest hardness points and had significant differences from the groups added with 3% and 6% Morinda citrifolia powder. The sensory evaluation results showed no significant differences in the taste, flavor, texture, and overall preference between the group of 6% Morinda citrifolia powder and the control except for color, which suggests that cookies made with 6% Morinda citrifolia powder seem to be ideal.

• Journal of KIISE
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• v.44 no.2
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• pp.186-194
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• 2017

Depth-image-based rendering is a technique that can be applied in a variety of 3D-display systems. It generates the images that have been captured from virtual viewpoints by using a depth map. However, disoccluded hole-filling problems remain a challenging issue, as a newly exposed area appears in the virtual view. Image inpainting is a popular approach for the filling of the hole region. This paper presents a robust hole-filling method that reduces the error and generates a high quality-virtual view. First, the adaptive-patch size is decided using the color and depth information. Also, a partial filling method for which the patch similarity is used is proposed. These efforts reduce the error occurrence and the propagation. The experiment results show that the proposed method synthesizes the virtual view with a higher visual comfort compared with the existing methods.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.88-95
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• 2017

In this paper, we present a saliency detection method using entropy weight and Weber contrast in the wavelet transform domain. Our method is based on the commonly exploited conventional algorithms that are composed of the local bottom-up approach and global top-down approach. First, we perform the multi-level wavelet transform for the CIE Lab color images, and obtain global saliency by adding the local Weber contrasts to the corresponding low-frequency wavelet coefficients. Next, the local saliency is obtained by applying Gaussian filter that is weighted by entropy of wavelet high-frequency subband. The final saliency map is detected by non-lineally combining the local and global saliencies. To evaluate the proposed saliency detection method, we perform computer simulations for two image databases. Simulations results show the proposed method represents superior performance to the conventional algorithms.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.615-622
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• 2015

Recently virtual advertising is located in an important area of interest in the TV market by convenience of application and reduction of cost. The methods of inserting a virtual advertising in broadcasting are Up-link that method insert the image through the production equipment of the broadcasting station and dispatch equipment and technical personnel in the shooting and Down-streaming that method insert a virtual image automatically in relay video using image processing technology. In recent years, the image processing technology is an important research area in the virtual advertising area for automatically insertion of advertising images. In this paper, we propose the method to extract less-informative region in sports video using image processing. The proposed method extracts less-Informative region through rectangle detection of Hough transform and analysis of color histogram distribution.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1011-1019
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• 2015

CAPTCHA(Completely Automated Public Turing test to tell Computers and Humans Apart) is a test used in computing to distinguish whether or not the user is computer or human. Many web sites mostly use the character-based CAPTCHA consisting of digits and characters. Recently, with the development of OCR technology, simple character-based CAPTCHA are broken quite easily. As an alternative, many web sites add noise to make it harder for recognition. In this paper, we analyzed the most recent CAPTCHA, which incorporates the addition of the natural images to obfuscate the characters. We proposed an efficient method using support vector machine to separate the characters from the background image and use convolutional neural network to recognize each characters. As a result, 368 out of 1000 CAPTCHAs were correctly identified, it was demonstrated that the current CAPTCHA is not safe.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.9
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• pp.1649-1656
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• 2016

Performance of the existing sensor-based fire detection system is limited according to factors in the environment surrounding the sensor. A number of image-based fire detection systems were introduced in order to solve these problem. But such a system can generate a false alarm for objects similar in appearance to fire due to algorithm that directly defines the characteristics of a flame. Also fir detection systems using movement between video flames cannot operate correctly as intended in an environment in which the network is unstable. In this paper, we propose an image-based fire detection method using CNN (Convolutional Neural Network). In this method, firstly we extract fire candidate region using color information from video frame input and then detect fire using trained CNN. Also, we show that the performance is significantly improved compared to the detection rate and missing rate found in previous studies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.12
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• pp.2530-2538
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• 2015

The pixel value of depth image is depth value so that different objects which are placed on nearby position have similar pixel value. Moreover, the pixels of depth image have distinct pixel values compared to adjacent pixels while those of color image has very similar values. Accordingly distorted depth image of multiview video plus depth (MVD) needs proper error concealment methods considering the characteristics of depth image when transmission errors are happened. In this paper, classifying regions of depth image to consider edge directions and then applying adaptive error concealment methods to each region are proposed. Recovered depth images utilize with multiview video data to synthesize intermediate-view point video. The synthesized view is evaluated by objective quality metrics to demonstrate proposed method performance.

• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.56-64
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• 2016

Housing for the elderly should be planned on the base of elder's needs and preferences as well as their physical, emotional, and socio-psychological characteristics. This study examined the interior style of bedroom and living room the elderly preferred and these preferences are significantly different depending on their characteristics and cognitive ages, or not. This study was carried out by face to face interview with a questionnaire and 6 colored printed 3D images. The subjects were 202 old aged who lives in Busan. The interior style of bedroom and living room were classified into 3 styles; Korean traditional style, Western classical style, and modern style. The subjects made a choice their preferred interior style among three 3D images per each room and answered the reasons. Also, they answered their cognitive ages and general characteristics, and their preferences for the layout of living room-dining room-kitchen, use pattern, floor finishes, and furniture of bedroom and living room. The results were as follows; 1) The subjects preferred bed in bedroom and sofa in living room. Also, they wanted to finish the floor of bedroom and living room by using synthetic material, traditional floor paper, and wood. 2) The elderly preferred Western classical style of bedroom. The reasons were general mood such as warm, comfort, or bright, and the color. 3) These preferred styles were not any significant differences according to their characteristics and cognitive ages. 4) They preferred Korean traditional style, Western classical style, and modern style, in order. They preferred them for their general mood and window. 5) Their preferred styles were significantly different according to their housing types and cognitive ages.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.729-733
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• 2006

Short message service (SMS) is a Popular mobile data service in cellular networks. One SMS message can carry 50 Korean alphabets. Cellular operators standard and develop multimedia message service (MMS) based on P2P as color phones having multimedia solutions such as MIDI, MP3, JPG, PNG, and MPEG have been developed. MMS can be a key cash flow in the non-voice mobile revenue together with SMS. Copyrights protection of contents in a MMS message can be issued as MMS can be the popular P2P service such as MMS. In this paper, we propose MMS DRM system to protect copyrights of contents in MMS with the minimum change of MMS system. The proposed MMS DRM system protect copyrights of contents using DRM Packager, DRM Server, and DRM Agent and support various use cases to activates MMS in mobile networks.