• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.3 no.2 s.5
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• pp.1-8
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• 2004

Characteristics of digital broadcasting are multi-channel, high-definition and multi-function. especially, multi-function is enable us to do a variety of services except for an image and a voice. This paper, therefore, is analyzed propagation environment in Busan into ETRI model application about 지상파 DMB service. It takes to be simulated in Busan area around the mountains area and high building. So it measures the electric field strength in standards. Distribution pattern are similar with mutually in the 이론 and real measurement. Even areas are almost the same, but urban areas and mountains are different with mutually. Therefore, we conclude that ETRI propagation model and theoretical modeling in a free space in Busan area is not suitable.

• Journal of Science of Art and Design
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• v.1
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• pp.227-266
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• 1999

The idea of identification have become a subject of discussion ever since the time man started to contemplate on the meaning and value of his being. However, the concept of identity defined by theorists such as sociologists or cultural historians influence the consumption pattern of the major consumer group, in conjunction with the advent of the mass consuming age. The conflict and mutual realization among variable generations and residential areas of different. consumer levels profoundly affect the formation of the identity of the new generation and the role and experience of women. This series of transit is progressing more rapidly due to the characteristic situation of the expiration of a millenium. Advertising strives to control our interests and ideas on the products we choose to use and affects our identity by manipulating images of successful people. People tend to be influenced more significantly by the mass-culture than by people around them, such as family or friends, in rendering their self?identity; in which process, adopting the identity produced by mass-media and advertising. Such identity is conducted partly of the product identity and the stereotyped image suggested by mass-media. This study bears significance in the attempt to provide actual data and expand the realm of ideas and planning in future advertising through demonstrative analysis of self-identity creative in Korean TV advertising.

• Journal of Fashion Business
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• v.16 no.3
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• pp.63-77
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• 2012

This study action drama TV drama 'Ya-ha'(夜叉) the actual work practices of the pre-consultation stage through the Writers, Producer, Art directors and in consultation with the opinion of the character set the record of the contents and character changes over time in accordance with characters makeup the design elements were analyzed. The methods of study was used local and abroad related books, studies, publications and cases and the subjects were limited to be four male make up characters in drama 'Ya-cha'. As a result, TV action drama 'Ya-cha' make up design elements and representation techniques were classified as description of skin tone, wound, the shape of eyebrows, hair type, shape of beard and materials and carried out an important role in the character representation. First, presentation techniques changed skin tones depending on character and position and described wound shape as expression technique and materials were analyzed. Second, the shape of eyebrows was based on the physiognomy of the form. And hair type changed volume, thickness, length and texture depending on character. Third, shape of beard is expressed different kinds of volume, thickness, length and texture depending on character. There fore, that systematization of the make-up design elements is useful to express stable characters and make drama for make up in various image genres.

• Journal of Fashion Business
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• v.19 no.1
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• pp.47-61
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• 2015

Recently, female announcers in the baseball programs on television are drawing attention to their fashion. This study analyzes the shape, color, material, detail, and accessory of female announcers in the baseball programs broadcasted by KBS N SPORTS, MBC SPORTS+, SBS Sports, and XTM. The characteristics of their fashion were classified into reliability, popularity, differentiation, attractiveness, and dynamics. The analysis showed that the fashion of the female announcers of KBS N SPORTS showed reliability in shape, color, material, accessory, popularity, and differentiation in detail. For MBC SPORTS+, the popularity was shown in shape, color, material, and attractiveness was shown in detail. For SBS Sports, the differentiation and attractiveness were shown in material, and the differentiation and dynamics were shown in accessory. For XTM, the attractiveness and dynamics were shown in shape, the differentiation and dynamics were shown in color, the dynamics were shown in material, and the popularity was shown in accessory.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8B
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• pp.1204-1210
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• 2010

In this paper, in order to reduce the power consumption of LCD TV, we present a two-dimensional dimming algorithm for LED BLU(Backlight Unit) using light spread function and a pragmatic implementation method. In conventional two dimensional dimming algorithms, LED BLU is divided into MxN blocks and proper backlight luminance for each block is computed according to input image and used for dimming control. But, LED light of each block is diffused and affects the neighboring blocks so that luminance of each block becomes larger than that of intent. In the proposed algorithm, dimming control values are reduced by the amount of quantity affected by the neighboring blocks using light spread function, resulting in additional reduction of power consumption.

• Journal of Global Scholars of Marketing Science
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• v.17 no.1
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• pp.1-21
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• 2007

This study seeks to understand the effects of information search activities and brand image on the hotel patronage intention based on the theory of reasoned action. First, it investigates the influence of attitude formed about hotel on the patronage intention. Second, it seeks to develope an alternative to TRA by looking into the effects of hotel image variable on hotel-specific attitude and patronage intention and attempts to substantiate the role of brand image as a substitute to subjective norm to increase the TRA's explanatory power. The main finding of this study are as follow; First, out of the three components of cognitive evaluation of hotel (human service, physical service and information service), human and physicial services were found to have significant influence on patronage intention. Brand image was found to exert notable influence on attitude toward hotel as well as patronage intention. Remarkably, the finding that brand image positively enhanced the TRA model sheds new strategic insight as to the usefulness of brand image as an alternative to overcome the TRA's limitation stemming from subjective norm. Third, it was learned that study subjects gave more weight to external information sources such as TV, radio, newspaper, magazine, and internet than to internal sources such as individual knowledge, experience or self image.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.4
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• pp.1171-1187
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• 2012

A depth adjustment method for visual fatigue reduction for depth-image-based rendering (DIBR) system is proposed. One important aspect of the method is that no calibration parameters are needed for adjustment. By analyzing 3D image warping, the perceived depth is expressed as a function of three adjustable parameters: virtual view number, scale factor and depth value of zero parallax setting (ZPS) plane. Adjusting these three parameters according to the proposed parameter modification algorithm when performing 3D image warping can effectively change the perceived depth of stereo pairs generated in DIBR system. As the depth adjustment is performed in simple 3D image warping equations, the proposed method is facilitative for hardware implementation. Experimental results show that the proposed depth adjustment method provides an improvement in visual comfort of stereo pairs as well as generating comfortable stereoscopic images with different perceived depths that people desire.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1077-1080
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• 2009

In this paper, we propose a new method for measuring image sticking of an OLED display using a human visual test. We determined that the perceptual image sticking threshold is 2% of luminance difference at 200 nits and 1% at 100 nits, respectively. Color shift must also be considered when evaluating image sticking, as a ${\Delta}$(u', v') shift of just over 0.002 can be recognized regardless of background brightness. Perception of image sticking is affected by the background level, test pattern, and ambient illumination conditions. The evaluation standard must consider both luminance variation and color shift simultaneously.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.199-202
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• 2001

A current TV-OUT format is quite different from that of HDTY or PC monitor in encoding techniques. In other words, a conventional analog TV uses interlaced display while HDTV or PC monitor uses Non-interlaced / Progressive-scanned display. In order to encode image signals coming from devices that takes interlaced display format for progressive scanned display, a hardware logic in which scanning and interpolation algorithms are implemented is necessary. The ELA (Edge-Based Line Average) algorithm have been widely used because it provided good characteristics. In this study, the ADI(Adaptive De-interlacing Interpolation) algorithm using to improve the algorithm which shows low quality in vertical edge detections and low efficiency of horizontal edge lines. With the De-interlacing ASIC chip that converts the interlaced Digital YUV to De-interlaced Digital RGB is designed. The VHDL is used for chip design.

• Journal of Multimedia Information System
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• v.7 no.3
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• pp.205-214
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• 2020

Crime has become one of the major problems in modern society. Even though visual surveillances through closed-circuit television (CCTV) is extensively used for solving crime, the number of crimes has not decreased. This is because there is insufficient workforce for performing 24-hour surveillance. In addition, CCTV surveillance by humans is not efficient for detecting dangerous situations owing to accuracy issues. In this paper, we propose the autonomous detection of dangerous situations in CCTV scenes using a deep learning model with relational inference. The main feature of the proposed method is that it can simultaneously perform object detection and relational inference to determine the danger of the situations captured by CCTV. This enables us to efficiently classify dangerous situations by inferring the relationship between detected objects (i.e., distance and position). Experimental results demonstrate that the proposed method outperforms existing methods in terms of the accuracy of image classification and the false alarm rate even when object detection accuracy is low.