• Title/Summary/Keyword: Photo image components

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Analysis of Advertisement Types of Global Fashion Brands : A study focused on the trends of photo image components and styles of expression in global fashion advertisements. (글로벌 패션브랜드 광고의 유형 분석 - 패션광고 사진이미지 구성요소와 표현형식을 중심으로 -)

  • Chang, Gyeong-Hae
    • Journal of the Korea Fashion and Costume Design Association
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    • v.19 no.4
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    • pp.17-27
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    • 2017
  • This study analyzes the trends of photo image components and forms of expression in global fashion advertising photos. First, photo image components are classified into seven categories: location (indoor-outdoor), the model's movement, pose, facial expression, gender, race and number of models. The forms of expression are classified into six categories: direct expression, sensual expression, symbolic expression, storytelling expression, dramatic expression, and sexual expression. With the aforementioned classifications, the trends were studied for three years from 2013 to 2015. The analysis result indicates the following: for the details of photo image components, the portion of indoor photos, static poses and conscious facial expressions was over 60% of the total for every season of the 3 years, while there was a slight increase in the number of models and the diversity of races. For the forms of expression, the sensual expression showed the largest portion accounting for over 50% of the total, followed by direct expression and storytelling expression. The findings from this study show that the trends of photo image components and forms of expression in global fashion advertisements are changing. Therefore, domestic companies will need to develop photo image components and forms of expression in line with the changing global fashion advertisement trends.

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A study on improvement of convergent measurement performance of color display tube using photo sensors (포토 센서를 이용한 브라운관의 컨버젼스 측정 성능 향상에 관한 연구)

  • ;;Zeungnam Bien
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.3
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    • pp.93-101
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    • 1998
  • In Integrated Tube Components(ITC) process in themanufacturing of color display tube, we describe the necessity of the convergence measurement method using photo sensors. Compared with methods using 1D or 2D cameras, its characteristics is to use of moving image patterns and fixed sensors. This measurement method is formulated as the measurement problem of the phase difference in phase changing periodic signals. The convergence measurement system using photo sensors, for the good performance, must have a small standard deviation for the repetitive measurement in the same condition and a fast measurement time for thecovergence change. By above two conditions, we proposed the real time measurement algorithm of the pahse difference using fundametal and harmonic in phase changing periodic signals. And, the proposed algorithm is applied to the convergence measurement system.

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Implementation of Image Enhancement Algorithm using Learning User Preferences (선호도 학습을 통한 이미지 개선 알고리즘 구현)

  • Lee, YuKyong;Lee, Yong-Hwan
    • Journal of the Semiconductor & Display Technology
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    • v.17 no.1
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    • pp.71-75
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    • 2018
  • Image enhancement is a necessary end essential step after taking a picture with a digital camera. Many different photo software packages attempt to automate this process with various auto enhancement techniques. This paper provides and implements a system that can learn a user's preferences and apply the preferences into the process of image enhancement. Five major components are applied to the implemented system, which are computing a distance metric, finding a training set, finding an optimal parameter set, training and finally enhancing the input image. To estimate the validity of the method, we carried out user studies, and the fact that the implemented system was preferred over the method without learning user preferences.

Humor Expressed in Modern Fashion (현대 의상에 나타난 유머성)

  • 이윤진;박명희
    • Journal of the Korean Society of Costume
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    • v.53 no.5
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    • pp.33-48
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    • 2003
  • The purpose of this study was to define the moaning and features of humor in modern fashion. by examining how it's being grafted into fashion, based on artistic expression including collage, assemblage, photo montage, graffiti, transformation, distortion, exaggeration and optical illusion. Beside. humor of fashion is to examine not only laugh and fun but also formative expression and creativity. Furthermore, it is to enlarge the range of conception for future fashion. The findings of this study could be described as below: The features of humorous fashion by collage and assemblage boiled down to unexpectedness, disharmony and creativity. The photo montage was marked by popularity, reproduction and recreativity, and graffiti was characterized by attention, simpleness, and amusement. And there were unexpectedness, creativity and strangeness in transformation, distortion, magnification and optical illusion. The meaning of humorous fashion that carries such features could eventually be summarized into the followings : First, the fashion, from which collage, assemblage, photo montage. graffiti, transformation, distortion, magnification and optical illusion were detected. could be sorted out into several categories that used different things : introduction of objects of different nature, dramatic impression and wit based on photo montage technique, introduction of comic components and infant image, and destruction of aesthetic principles. Second, the substance of humor in art could be applied to fashion design as well as visual art. Humor is a property related to accidental, unexpected incident, behavior, situation or idea, and it puts laugh, disharmony or awkwardness in fashion. Third, spicing fashion with humor could serve to draw people's attention, break down the barrier among people exposed to dry sentiment, and connect the public with art.

A Study of the Retina Image Controllability using a Sledge (망막 영상 조절 장치에 관한 연구)

  • 이숙희;이영춘;양연식
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.273-276
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    • 1997
  • Seeing is an intelligent act. Retina is the most important part among the components of eye which is comprised of iris, pupil, lens, optic disk, and so forth. Because retina acts like a photo receiver to detect light from every object, if damaged, animals have a severe problem to live along with themselves and sometimes they lose their sight. In the ophthalmology, doctors use special instrument to see exact retina image of object and operate the surgery by rotating focus control knob. In this study, a basic test is done to achieve the auto focus control instrument. Specially made sledge and attenuator are installed on the optic bed to change the distance and laser power between the first reflective mirror and the second one. Control panel which is compiled by Visual C t t to control stepping motors ,laser power and photodiode are implemented with ADA-board.

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Fast Extraction of Objects of Interest from Images with Low Depth of Field

  • Kim, Chang-Ick;Park, Jung-Woo;Lee, Jae-Ho;Hwang, Jenq-Neng
    • ETRI Journal
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    • v.29 no.3
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    • pp.353-362
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    • 2007
  • In this paper, we propose a novel unsupervised video object extraction algorithm for individual images or image sequences with low depth of field (DOF). Low DOF is a popular photographic technique which enables the representation of the photographer's intention by giving a clear focus only on an object of interest (OOI). We first describe a fast and efficient scheme for extracting OOIs from individual low-DOF images and then extend it to deal with image sequences with low DOF in the next part. The basic algorithm unfolds into three modules. In the first module, a higher-order statistics map, which represents the spatial distribution of the high-frequency components, is obtained from an input low-DOF image. The second module locates the block-based OOI for further processing. Using the block-based OOI, the final OOI is obtained with pixel-level accuracy. We also present an algorithm to extend the extraction scheme to image sequences with low DOF. The proposed system does not require any user assistance to determine the initial OOI. This is possible due to the use of low-DOF images. The experimental results indicate that the proposed algorithm can serve as an effective tool for applications, such as 2D to 3D and photo-realistic video scene generation.

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Estimation of Specular Light Power by Adjusting Incident Laser Power for Measuring Mirror-Like Surface Roughness (경면 거칠기 측정을 위해 레이저 입사 강도 조정에 의한 정반사 광량 추정 알고리즘 개발)

  • 서영호;김주년;안중환
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.6
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    • pp.94-101
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    • 2004
  • From the Beckmann's reflection model of wave incident, reflected light from a surface is known to have not only specular but also diffuse components. The specular component dominant a surface for a mirror-like surface is distributed on the almost the same area as the spot on the surface, but the diffuse component region dominant f3r a rough surface spreads scattered on the larger areas than the spot. Therefore, statistic parameters from the scattered light distribution are more meaningful in the diffuse region, while the magnitude of rather meaning in the specular region. In usual, there need two sensors to acquire two kinds of information: Photo-detector for light intensity magnitude and image sensor for light intensity distribution. But dual sensor scheme requires a beam splitter usually to feed light to each sensor, and moreover there is not a combination rule to relieve the different sensor characteristics. In this study a new method is proposed for acquisition of the dual information using only an image sensor. Specular region is established on an image area being distinguished from a diffuse component, and laser power is adjusted so that no pixel of the image sensor in the specular region is saturated. Simulation based on the light reflection theory and the experimental results are quite well matched, and thus the proposed method was proved to be very useful for mirror-like surface measurement.

Retouching Method for Watercolor Painting Effect Using Mean Shift Segmentation (Mean Shift Segmentation을 이용한 수채화 효과 생성 기법)

  • Lee, Sang-Geol;Kim, Cheol-Ki;Cha, Eui-Young
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.9
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    • pp.25-33
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    • 2010
  • We propose a retouching method that converts a general photography to a watercolor painting image using bilateral filtering and mean shift segmentation which are mostly used in image processing. The first step is to weaken high frequency components of the image, while preserving the edge of image using the bilateral filtering. And after that we perform DoG(Difference of Gradient) edge extraction and mean shift segmentation respectively from the bilateral filtered image. The DoG edge extraction is performed using luminance component of the image whose RGB color space is transformed into CIELAB space. Experimental result shows that our method can be applied to various types of image and bring better result, especially against the photo taken in daylight.

An Efficient Object Extraction Scheme for Low Depth-of-Field Images (낮은 피사계 심도 영상에서 관심 물체의 효율적인 추출 방법)

  • Park Jung-Woo;Lee Jae-Ho;Kim Chang-Ick
    • Journal of Korea Multimedia Society
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    • v.9 no.9
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    • pp.1139-1149
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    • 2006
  • This paper describes a novel and efficient algorithm, which extracts focused objects from still images with low depth-of-field (DOF). The algorithm unfolds into four modules. In the first module, a HOS map, in which the spatial distribution of the high-frequency components is represented, is obtained from an input low DOF image [1]. The second module finds OOI candidate by using characteristics of the HOS. Since it is possible to contain some holes in the region, the third module detects and fills them. In order to obtain an OOI, the last module gets rid of background pixels in the OOI candidate. The experimental results show that the proposed method is highly useful in various applications, such as image indexing for content-based retrieval from huge amounts of image database, image analysis for digital cameras, and video analysis for virtual reality, immersive video system, photo-realistic video scene generation and video indexing system.

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A Study on Evaluation of the Rurality by the Distance of View (조망거리에 따른 농촌경관의 농촌다움 평가에 관한 연구)

  • Shin, Min-Ji;Shin, Ji-Hoon
    • Journal of Korean Society of Rural Planning
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    • v.21 no.2
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    • pp.63-77
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    • 2015
  • Improve the rural views of the Government and the municipalities with the intention of rural landscape planning. However, rural scenery evaluation of landscape types and element categories, landscape scenes, such as the valuation of resources selected, form a coherent system and ecological point of view is not only a Visual perspective of evaluation, or evaluation is made. This study evaluates the rural landscape through the rural landscape for rurality is implemented can explain the image. Rural amenity 100 represented the rural landscape in rurality with photos of photos, and scenes, photos, location-based rural Vista rurality landscapes drawn components. Selected landscape photography scenic landscapes in the u.s. survey and image vocabularies through surveys is representative of the landscape in rurality of each Vista location-specific photos and images began extracted factors. As a result, the Distant view is a town and village in the rolling hills of the surrounding environment is an image behind the Vista Skyline, Farmland Rural village forests, Behind the hills, Individual housing roof, Housing arrangement, The number of household includes landscape components. Factor analysis 'openness', 'intimacy', 'activity', 'complexity', 'safety' was down to five factors, such as a description of the overall factors that force was 66.45 percent. Middle distance view is close to being out of town houses and village environment, an image in the skyline hills Vista, farmlands, village forests, rolling hills, behind the scenes of the housing component of the neck, the sperm will honor an individual factor analysis results are 'intimacy', 'safety', 'openness', 'specificity', 'complexity' five factors the whole description of the capacity factors compared to 67.24 percent. Close-range view is mainly in Vista village embraced the individual elements and an image of a harmonious location in the surroundings of the sperm, individual houses, fences, gates, courtyard, Garden, garage, agricultural facilities, including, but not limited to, factors assay but an 'intimacy', 'complexity', 'safety', 'activity', 'openness' five factors, such as a description of the overall factors that force was 65.29%. This research seeks to determine the extent to which rurality of rural landscape Vista by location attributes and elements and representative officer in photo selection and rurality to extract the image. To date, followed by a comprehensive study, which was presented through the readjustment could not overlook the Visual elements. The future rural development officer for the evaluation of rural landscape classification and quantitative and objective assessment will have to come up with ways to do.