• Journal of Digital Convergence
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• v.11 no.1
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• pp.249-254
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• 2013

The number of channels are increased into several hundreds of channels when coming out the digital broadcasting era. In this environment, viewers searching for programs will be very difficult to do. In addition, recent popularization of smart devices are receiving the services that they previously had not been given to. A TV program recommended a system that has been studied as a way to solve these problems. However, most studies have been studied in most web-based research results when applied to broadcast TV for TV program recommendations. In particular, the combination of the current members who watch TV are not considered. In this paper, the environment and TV viewers are considering a combination of the members of the TV program's recommended system proposal. In order to make a group deal successful, we employ the face recognition.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.1
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• pp.50-59
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• 2007

In this paper, an anchor shot detection method, which is a basic technology for managing news videos for index and retrieval purposes is proposed. To do that, two most popular news program such as 'KBS 9 Hour News' and 'MBC 9 Hour News' are analyzed and 4-step rule based detection method is proposed First, in the preprocessing, video shot boundaries are detected and the 1st frame of each shot is extracted as a key frame. Then, the detected shot is declared as an anchor shot, if all the following 4 conditions are satisfied. 1) There is an anchor face in the key frame of a shot. 2) Spatial distribution of edges in the key frame is adequate. 3) Background color information of the key frame is similar to the color information of an anchor model. 4) Motion rate in the shot is low. In order to show the validity of the proposed method, three 'KBS 9 Hour News' and three 'MBC 9 Hour News', which have total running time of 108 in minute and are broadcasted at different days, are used for experiments. Average detection rates showed 0.97 in precision, 1.0 in recall, and 0.98 in F-measure.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.843-845
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• 2016

Concomitant with development of AR(Augmented Reality) and VR(Virtual Reality), interest in location based games and augmented reality have increased and various services have been developed. Due to this, AR, VR, MR(Merged Reality) techniques are considered one of fourth industrial revolution techniques. Oculus Rift which is representative of VR technology, and HTC VIVE need separate controllers, and don't offer service such as receiving external video information when users are using devices. In the case of project Alloy, which is a MR device of Intel, this has advantages such as controlling devices through hand signals and facial expressions, and receiving external video information. In this paper, we propose tourist guide system based on current position using MR. This system makes economical tour possible by arranging tourist attraction information which is from current position of tourists in correct places through external video information using MR, location determination using GPS, tourism information search using wireless internet.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.439-445
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• 2021

Low-cost, ultra-high-speed cameras, made possible by the development of image sensors and small displays, can be very useful in image processing and pattern recognition. This paper introduces an algorithm that corrects irregular lighting from a high-speed image that is continuously input with a slight time interval, and which then obtains an exposed skin color region that is the area of interest in a person from the corrected image. In this study, the non-uniform lighting effect from a received high-speed image is first corrected using a frame blending technique. Then, the region of interest is robustly obtained from the input high-speed color image by applying an elliptical skin color distribution model generated from iterative learning in advance. Experimental results show that the approach presented in this paper corrects illumination in various types of color images, and then accurately acquires the region of interest. The algorithm proposed in this study is expected to be useful in various types of practical applications related to image recognition, such as face recognition and tracking, lighting correction, and video indexing and retrieval.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.6
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• pp.123-131
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• 2008

In Oriental medicine, the status of a tongue is the important indicator to diagnose the condition of one's health like the physiological and the clinicopathological changes of internal organs in a body. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition a lot. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, segmenting a tongue region from a facial image captured and classifying tongue coating are inevitable but difficult since the colors of a tongue, lips, and skin in a mouth are similar. The proposed method includes preprocessing, over-segmenting, detecting the edge with a local minimum over a shading area from the structure of a tongue, correcting local minima or detecting the edge with the greatest color difference, selecting one edge to correspond to a tongue shape, and smoothing edges, where preprocessing consists of down-sampling to reduce computation time, histogram equalization, and edge enhancement, which produces the region of a segmented tongue. Finally, the systematic procedure separated only a tongue region from a face image with a tongue, which was obtained from a digital tongue diagnosis system. Oriental medical doctors' evaluation for the results illustrated that the segmented region excluding a non-tongue region provides important information for the accurate diagnosis. The proposed method can be used for an objective and standardized diagnosis and for an u-Healthcare system.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.44 no.2
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• pp.191-200
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• 2018

In this study, we conducted research to find anti-wrinkle skin care ingredients from natural sources via the measurement of procollagen type 1 levels in the medium of normal human dermal fibroblast (NHDF) and found that a Nelumbo nucifera leave extract (NLE) was as the best effective ingredient. By the high performance liquid chromatography analysis, we confirmed isoquercitrin was one of the main compounds of NLE. Moreover, it also increased the procollagen type 1 production without cytotoxicity of NHDF. NLE and isoquercitrin exerted free radical scavenging activity. Especially, isoquercitrin exhibited strong intracellular antioxidant capacity in human skin-derived cells, HaCaT and NHDF. Finally, we performed clinical test for the inhibitory effect of NLE on skin wrinkle formation. A randomized study was conducted in 22 healthy female volunteers, aged between 30 and 65 yrs, with moderate to moderately severe facial wrinkles. Volunteer applied a 1.7% NLE cream (isoquercitrin 51 ppm) and a control cream at each facial side (left/right) twice daily for 8 weeks. The 1.7% NLE cream improved skin roughness through reducing the wrinkle of the craw's feet significantly without any skin side effect. Our results demonstrate that NLE and isoquercitrin can increase the collagen production and exert antioxidant activity. Therefore, we expect that the new non-toxic herbal extract, isoquercitrin-containing NLE will be interesting natural ingredient of cosmetics with anti-wrinkle efficacy.