• Title/Summary/Keyword: Various color information

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A Study on the YCbCr Color Model and the Rough Set for a Robust Face Detection Algorithm (강건한 얼굴 검출 알고리즘을 위한 YCbCr 컬러 모델과 러프 집합 연구)

  • Byun, Oh-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.7
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    • pp.117-125
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    • 2011
  • In this paper, it was segmented the face color distribution using YCbCr color model, which is one of the feature-based methods, and preprocessing stage was to be insensitive to the sensitivity for light which is one of the disadvantages for the feature-based methods by the quantization. In addition, it has raised the accuracy of image synthesis with characteristics which is selected the object of the most same image as the shape of pattern using rough set. In this paper, the detection rates of the proposed face detection algorithm was confirmed to be better about 2~3% than the conventional algorithms regardless of the size and direction on the various faces by simulation.

A Cut Detection Algorithm by Using Spatial Vectors of DC Components on MPEG Video Sequence (MPEG 비디오 시퀀스에서 DC성분의 공간벡터를 이용한 컷 검출)

  • 최인호;구동수;이대영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.12B
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    • pp.2401-2406
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    • 1999
  • Various techniques extracting feature vectors have been studied for the cut detection in compressed video data. In case of using the histogram of occurrence of pixel's values as a feature vector, the precise detection of cuts would not be expected because of not considering the spatial correlation of pixels. And more sophisticated algorithms such as CCV(Color Coherent Vector) and Correlrogram tend to be used. Though these methods can be able to detect cuts rather precisely, they require much more processing time because of a enormous amount of computations. In this paper we propose a method of the cut detection using spatial correlation of DC values of luminance components in MPEG video sequence. This requires less processing time and also It can increase the rates of detecting the correct cuts by using advanced comparative method.

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A Method for Identification of Harmful Video Images Using a 2-Dimensional Projection Map

  • Kim, Chang-Geun;Kim, Soung-Gyun;Kim, Hyun-Ju
    • Journal of information and communication convergence engineering
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    • v.11 no.1
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    • pp.62-68
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    • 2013
  • This paper proposes a method for identification of harmful video images based on the degree of harmfulness in the video content. To extract harmful candidate frames from the video effectively, we used a video color extraction method applying a projection map. The procedure for identifying the harmful video has five steps, first, extract the I-frames from the video and map them onto projection map. Next, calculate the similarity and select the potentially harmful, then identify the harmful images by comparing the similarity measurement value. The method estimates similarity between the extracted frames and normative images using the critical value of the projection map. Based on our experimental test, we propose how the harmful candidate frames are extracted and compared with normative images. The various experimental data proved that the image identification method based on the 2-dimensional projection map is superior to using the color histogram technique in harmful image detection performance.

Bio-inspired Structural Colors of Transparent Substrate based on Light Diffraction and Interference on Microscale and Nanoscale Structures (자연모사기반 나노-마이크로패턴의 광 회절 및 간섭에 의한 투명기판의 구조색 구현)

  • Park, Yong Min;Kim, Byeong Hee;Seo, Young Ho
    • Journal of Industrial Technology
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    • v.39 no.1
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    • pp.33-39
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    • 2019
  • This paper addresses effects of nanoscale structures on structural colors of micropatterned transparent substrate by light diffraction. Structural colors is widely investigated because they present colors without any chemical pigments. Typically structural colors is presented by diffraction of light on a micropatterned surface or by multiple interference of light on a surface containing a periodic or quasi-periodic nano-structures. In this paper, each structural colors induced by quasi-periodic nano-structures, periodic micro-structures, and nano/micro dual structures is measured in order to investigate effects of nanoscale and microscale structures on structural colors in the transparent substrate. Using pre-fabricated pattern mold and hot-embossing process, nanoscale and microscale structures are replicated on the transparent PMMA(Poly methyl methacrylate) substrate. Nanoscale and microscale pattern molds are prepared by anodic oxidation process of aluminum sheet and by reactive ion etching process of silicon wafer, respectively. Structural colors are captured by digital camera, and their optical transmittance spectrum are measured by UV/visible spectrometer. From experimental results, we found that nano-structures provide monotonic colors by multiple interference, and micro-structures induce iridescent colors by diffraction of light. Structural colors is permanent and unchangeable, thus it can be used in various application field such as security, color filter and so on.

Banner Control Automation System Using YOLO and OpenCV (YOLO와 OpenCV기술을 활용한 현수막 단속 자동화 시스템 방안)

  • Dukwoen Kim;Jihoon Lee
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.4
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    • pp.48-52
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    • 2023
  • From the past to the present, banners are consistently used as effective advertising means. In the case of Korea, there are frequent situations in which hidden advertisements are installed. As a result, such hidden advertisement materials may damage urban aesthetics and moreover, incur unnecessary manpower consumption and waste of money. The proposed method classifies the detected banners into good banner and bad banner. The classification results are based on whether the relevant banners are installed in compliance with legal guidelines. In the process, YOLO and Open Computer Vision library are used to determine from various perspectives whether banners in CCTV images comply with the guidelines. YOLO is used to detect the banner area in CCTV images, and OpenCV is used to detect the color values in the area for color comparison. If a banner is detected in the video, the proposed method calculates the location of the banner and the distance from the designated bulletin to determine whether it was installed within the designated location, and then compares whether the color used in the banner is complied with local government guidelines.

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Dynamic Textual Information Presenting Methods on Digital Displays (디지털 디스플레이에서의 동적 문자정보 제시 방법)

  • Lee, Kyong-Hee;Cheng, Hong-In
    • Archives of design research
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    • v.18 no.4 s.62
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    • pp.45-52
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    • 2005
  • Displays, playing an essential role in HCI, have been developed to deliver more vivid and live pictures. LCD and PDP have the most common usage among various displays to present the dynamic textual information in restricted and open places. Important and unsolicited information is being provided by hundreds of displays while we don't even perceive the information. Watching context, effective color combinations of the text and background, speeds of presentation, contexts, and types of display for leading method, moving words cross the display from right to left, were investigated with readability, comprehensibility, and overall satisfaction were compared. LCD peformed better than PDP on all comparisons u4th typical text (black, white) and background (white, black) color better than other color combinations. Normal and fast text presentation was believed more preferred when only textual information was given while slower presentation was evaluated more efficient if multimedia contents were presented with textual information.

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Implementation of Video-Forensic System for Extraction of Violent Scene in Elevator (엘리베이터 내의 폭행 추출을 위한 영상포렌식 시스템 구현)

  • Shin, Kwang-Seong;Shin, Seong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.10
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    • pp.2427-2432
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    • 2014
  • Color-$X^2$ is used as a method for scene change detection. It extracts a violent scene in an elevator and then could be used for real-time surveillance of criminal acts. The scene could be also used to secure after-discovered evidences and to prove analysis processes. Video Forensic is defined as a research on various methods to efficiently analyze evidences upon crime-related visual images in the field of digital forensic. The method to use differences of color-histogram detects the difference values of histogram for RGB color from two frames respectively. Our paper uses Color-$X^2$ histogram that is composed of merits of color histogram and ones of $X^2$ histogram, in order to efficiently extract violent scenes in elevator. Also, we use a threshold so as to find out key frame, by use of existing Color-$X^2$ histogram. To increase the probability that discerns whether a real violent scene or not, we take advantage of statistical judgments with 20 sample visual images.

Color Transformation of Images based on User Preference (사용자 취향을 반영한 영상의 색변환)

  • Woo, Hye-Yoon;Kang, Hang-Bong
    • Journal of KIISE:Software and Applications
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    • v.36 no.12
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    • pp.986-995
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    • 2009
  • Color affects people in their various combinations of hue, saturation and value. On the other hand, people may feel different emotion from the same color. If we can introduce these characteristics of color and people's emotion about color to emotion-based digital technologies and their contents, we can effectively draw users' interest and immersion to the contents. In this paper, we will show how people feel about color and present a method of image coloring that reflects the user's preference. First, we define basic templates that reflect the relationship between color and emotion, and then perform an image coloring. To reflect user's preference, we compute weights for hue, saturation and value through the experiments on each subject's preference about hue, saturation and value. The image coloring for each subject's taste will be drawn by updating the weights of hue, saturation and value. Through the results of experiments and surveys, we found that people were more satisfied with the transformation of the templates which reflected user's preference than the one that did not.

Apparel Shape-based Unauthorized Adult Detection System Development (의류 형태기반 비인가 성인 검출 시스템 개발)

  • Lee, Hyun-Chang;Shin, Seong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.363-364
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    • 2021
  • Search technology is applied to various applications using artificial intelligence technology. It is used in many ways, from identifying customer preferences to personalized recommendation systems. The purpose of this study is to develop a system for detecting adult males mainly in children's living spaces. This will prevent dangerous situations of adult intruders in advance and can be used for outsider control system. In order to develop such a system, information about clothes is used, and adult detection system is developed using various factors such as color, pattern, fashion style, and size of clothes.

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The Color Characteristics of Masculinity Presented in Modern Women's Suit - Focus on the Paris, London, New York and Milan Collections from 2004 F/W to 2006 F/W - (현대 여성 수트에 있어서 남성성(masculinity)을 나타내는 색채 특성 - 2004~2006년 F/W의 파리, 런던, 뉴욕, 밀라노 컬렉션을 중심으로 -)

  • Kwon, Ji-Hyun;Kim , Young-In
    • Journal of the Korean Society of Costume
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    • v.58 no.2
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    • pp.62-77
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    • 2008
  • This study aims to analyze color characteristics centered by women's suit styles that represent masculinity remarkably. Through this, it figures out color's type and continuance availability as a representing tool to express masculinity to provide useful color information which can be applied effectively to various color planning. For this research, related images were collected among women's pants suits appeared in $2004{\sim}2006's$ Paris, London, New York and Milan collection F/W that are most similar to modern man's suit. Among them, the study analyzes 319 pictures where the features of masculinity were represented effectively. The referred color values were earned by converting $L^*a^*b^*$ values measured through the color extracting tool of Computer program (Adobe Photoshop CS) and color tone characteristic were analyzed by classifying 12 color PCCS and 5 achromatic colors. The result of the study are as follows: First, based on standard of color hue and tone, in terms of color hue, PB, YR, Y were frequently shown up but G, BG series were not found much after analyzing overall women's pants suit color characteristics shown in $2004{\sim}2006$ Paris, London, New York and Milan collection. Second, the color analysis about 3years of $2004{\sim}2006$ tells that achromatic colors have been most widely used in every year. In terms of color hue, PB, YR, Y series were appeared most popular and G, BG classes weren't appeared frequently. In addition, once looking at yearly color tone distribution trend, like overall color tone distribution result, Bk, w, dkg, g, p were highly used as sequential and b, v, dp, sf, ItGy series show low distribution level. And such a distribution level of low and high in frequency has been showed continuously as a similar style. Accordingly, through the study, as a tool to express masculinity in women's suit, achromatic colors like black and white series and PB, YR, Y series color were investigated as most popular uses. And as color tones, Bk, w, dkg, g, p were used frequently.