• Title/Summary/Keyword: color distribution

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Mood and Color Distribution Characteristics of Music Genres (음악 장르에 따른 분위기와 색상 분포의 특성)

  • Moon, Chang-Bae;Kim, Hyun-Soo;Song, Min-Kyun;Kim, Byeong-Man
    • Science of Emotion and Sensibility
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    • v.14 no.1
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    • pp.59-72
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    • 2011
  • Since stress can cause a variety of diseases, the relaxation of stress is an important factor for preventing diseases. One way to relieve stress is to use auditory or visual materials. If auditory and visual ones are used together, the effect of stress relaxation will be maximized. In this context, we analyze mood distribution of genre of music and color distribution of mood from the mood data for musics and color data for mood words collected directly from volunteers. Based on these two distributions, we also perform the $X^2$-test with Minitab for checking that color distributions are different from genre to genre. The results show that a different genre has a different color distribution and that the distributions of color, brightness and saturation depend on mood (P<0.0001). The results will be used to develop an emotional lighting system which plays lighting according to music mood, which can be applied to psychotherapy but more data and analysis are needed for clinical trials.

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Face Detection based on Pupil Color Distribution Maps with the Frequency under the Illumination Variance (빈도수를 고려한 눈동자색 분포맵에 기반한 조명 변화에 강건한 얼굴 검출 방법)

  • Cho, Han-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.5
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    • pp.225-232
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    • 2009
  • In this paper, a new face detection method based on pupil color distribution maps with the frequency under the illumination variance is proposed. Face-like regions are first extracted by applying skin color distribution maps to a color image and then, they are reduced by using the standard deviation of chrominance components. In order to search for eye candidates effectively, the proposed method extracts eye-like regions from face-like regions by using pupil color distribution maps. Furthermore, the proposed method is able to detect eyes very well by segmenting the eye-like regions, based on a lighting compensation technique and a segmentation algorithm even though face regions are changed into dark-tone due to varying illumination conditions. Eye candidates are then detected by means of template matching method. Finally, face regions are detected by using the evaluation values of two eye candidates and a mouth. Experimental results show that the proposed method can achieve a high performance.

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A Study on In-Cylinder Measurement of Flame Temperature and Soot Distribution in D.I. Diesel Engine Using Tow-Color Method (이색법을 이용한 직접 분사식 디젤엔진 실린더내의 화염 분도 및 Soot 분포 측정에 관한 연구)

  • 박정규;정수훈;원영호
    • Transactions of the Korean Society of Automotive Engineers
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    • v.7 no.7
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    • pp.42-53
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    • 1999
  • Two dimensional flame temperature and KL value distribution from the luminous flame containing soot in a DI diesel engine were measured by the tow-color method using tow different wavelengths of the flame image. The combustion chamber of a DI diesel engine was visualized by elongating the piston and cylinder and the flame in the combustion chamber was photographed on a nega-color film using a high speed camera. In this study, color CCD camera was used to digitize the three color density of the film exposed to the flame and standard lamp . The accuracy of the measuring method depends on the calibration line of film made from a high temperature standard tungsten lamp. The formation and oxidization of soot in the diesel engine were studied by observing measured time history of KL factor and flame temperature . Also , effects of various shapes of combustion chamber and fuel injection on flame temperature. Also, effects of various shapes of combustion chamber and fuel injection on flame temperature and KL value distribution were examined.

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A Study on Preference Colors considering Personality Types in Housing Space - A Study on Color Plan considering Characteristic of Residents - (성격유형에 따른 주거공간 색채선호에 관한 연구 - 거주자 특성을 고려한 주거공간 색채계획에 관한 연구 II -)

  • Kim, Soon-Mi;An, Ok-Hee;Seo, Ji-Eun;Choi, Jae-Young
    • Journal of the Korean housing association
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    • v.20 no.3
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    • pp.113-121
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    • 2009
  • The purpose of this study is to determine color preferences in housing spaces according to different types of personalities and color preference according to classifying dwellers various characteristics by MBTI to obtain basic information for the color plan that satisfies their desires. The results of this study are as follows. Firstly, in terms of the color distribution of living spaces, for the ceiling and general walls, results showed that N (white) systems and YR of bright tones were mostly distributed. For the color of the floor, results showed that the calm tone of YR was mostly distributed. Secondly, for the favored colors of finishing materials in each space, the greatest distribution of preference color was found to be the N (white) group (series) in the case of ceilings, For general walls, the bright tone of the N (white) group was the most common in living rooms, and the bright tone of RP was used mostly in couples' rooms and girls' rooms. The bright tone of B and PB were found mostly in boys' bedrooms. In the case of the floor color, results showed the largest distribution was the calm tone of YR. For point walls, the preference was for various kinds of bright and brilliant colors. Thirdly, we could determine that extroverts (E) strongly disliked black and grey, while introverts (I) strongly disliked red as well as black and grey. Those who favored colors of closing materials were the sensible types (S) where colors were concentrated in common color groups. On the other hand, intuition types (N) preferred color groups of various kinds, not only the typically preferred colors.

Complex Color Model for Efficient Representation of Color-Shape in Content-based Image Retrieval (내용 기반 이미지 검색에서 효율적인 색상-모양 표현을 위한 복소 색상 모델)

  • Choi, Min-Seok
    • Journal of Digital Convergence
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    • v.15 no.4
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    • pp.267-273
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    • 2017
  • With the development of various devices and communication technologies, the production and distribution of various multimedia contents are increasing exponentially. In order to retrieve multimedia data such as images and videos, an approach different from conventional text-based retrieval is needed. Color and shape are key features used in content-based image retrieval, which quantifies and analyzes various physical features of images and compares them to search for similar images. Color and shape have been used as independent features, but the two features are closely related in terms of cognition. In this paper, a method of describing the spatial distribution of color using a complex color model that projects three-dimensional color information onto two-dimensional complex form is proposed. Experimental results show that the proposed method can efficiently represent the shape of spatial distribution of colors by frequency transforming the complex image and reconstructing it with only a few coefficients in the low frequency.

Preferred Skin Color Reproduction for Color Image Quality Enhancement

  • Kim, Do-Hun;Chien, Sung-Il;Tae, Heung-Sik
    • 한국정보디스플레이학회:학술대회논문집
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    • 2004.08a
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    • pp.432-435
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    • 2004
  • The skin color of a human being is the important memory color influencing image quality for color display. Therefore, in this paper, the preferred skin color axis is defined on HSV color space by analyzing some previous research, and the preferred skin color reproduction algorithm is performed by rotating the center axis of skin distribution of an input image to the preferred skin color axis.

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2-Stage Adaptive Skin Color Model for Effective Skin Color Segmentation in a Single Image (단일 영상에서 효과적인 피부색 검출을 위한 2단계 적응적 피부색 모델)

  • Do, Jun-Hyeong;Kim, Keun-Ho;Kim, Jong-Yeol
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.193-196
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    • 2009
  • Most of studies adopt a fixed skin color model to segment skin color region in a single image. The methods, however, result in low detection rates or high false positive error rates since the distribution of skin color is varies depending on the characteristics of input image. For the effective skin color segmentation, therefore, we need a adaptive skin color model which changes the model depending on the color distribution of input image. In this paper, we propose a novel adaptive skin color segmentation algorithm consisting of 2 stages which results in both high detection rate and low false positive error rate.

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The Customer Attitude to Airline's Color Image -Focused on the Color Image of Airline Cabin Crew's Uniforms-

  • Park, Hye-Yoon
    • Journal of Distribution Science
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    • v.17 no.2
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    • pp.43-51
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    • 2019
  • Purpose - This study was intended to provide implications for the importance of color to airlines where the image customers feel about the business is paramount. The importance of colors shown by the airline crew, an important human resource for airlines as contact workers, was investigated. We wanted to present suggestions by investigating and comparing the difference in customer attitude regarding the color of uniforms of the airline crew. Research design, data, and methodology - A survey was conducted to examine differences in perception of airline uniform color, with the research that suggests that the customer's attitude to uniform color will vary. The difference in the perception of passengers according to the colors of the airline uniforms was determined by conducting an empirical analysis. Results - Customers have a different attitude about the color of the uniform of airline's flight attendants' uniform. Full service airlines (FSC) generally have a bright, calm, neat, and heavy-handed feeling, while low-cost carriers (LCC) have a distinctive, dynamic, energetic, and cheerful feeling. Conclusions - An empirical analysis of the study found that customers' attitudes vary by uniform color for each airline. It has also been revealed that Airline's uniform color can communicate the company's goals it wants to convey.

An Empirical Evaluation of Color Distribution Descriptor for Image Search (이미지 검색을 위한 칼라 분포 기술자의 성능 평가)

  • Lee, Choon-Sang;Lee, Yong-Hwan;Kim, Young-Seop;Rhee, Sang-Burm
    • Journal of the Semiconductor & Display Technology
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    • v.5 no.2 s.15
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    • pp.27-31
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    • 2006
  • As more and more digital images are made by various applications, image retrieval becomes a primary concern in technology of multimedia. This paper presents color based descriptor that uses information of color distribution in color images which is the most basic element for image search and performance of proposed visual feature is evaluated through the simulation. In designing the image search descriptor used color histogram, HSV, Daubechies 9/7 and 2 level wavelet decomposition provide better results than other parameters in terms of computational time and performances. Also histogram quadratic matrix outperforms the sum of absolute difference in similarity measurements, but spends more than 60 computational times.

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A study of face detection using color component (색상요소를 고려한 얼굴검출에 대한 연구)

  • 이정하;강진석;최연성;김장형
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.11a
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    • pp.240-243
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    • 2002
  • In this paper, we propose a face region detection based on skin-color distribution and facial feature extraction algorithm in color still images. To extract face region, we transform color using general skin-color distribution. Facial features are extracted by edge transformation. This detection process reduces calculation time by a scale-down scanning from segmented region. we can detect face region in various facial Expression, skin-color deference and tilted face images.

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