• Title/Summary/Keyword: Color Similarity

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A User Authentication System Using Face Analysis and Similarity Comparison (얼굴 분석과 유사도 비교를 이용한 사용자 인증 시스템)

  • Ryu Dong-Yeop;Yim Young-Whan;Yoon Sunnhee;Seo Jeong Min;Lee Chang Hoon;Lee Keunsoo;Lee Sang Moon
    • Journal of Korea Multimedia Society
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    • v.8 no.11
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    • pp.1439-1448
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    • 2005
  • In this paper, after similarity of color information in above toro and geometry position analysis of important characteristic information in face and abstraction object that is inputted detects face area using comparison, describe about method to do user certification using ratio information and hair spring degree. Face abstraction algorithm that use color information has comparative advantages than face abstraction algorithm that use form information because have advantage that is not influenced facial degree or site etc. that tip. Because is based on color information, change of lighting or to keep correct performance because is sensitive about color such as background similar to complexion is difficult. Therefore, can be used more efficiently than method to use color information as that detect characteristic information of eye and lips etc. that is facial importance characteristic element except color information and similarity for each object achieves comparison. This paper proposes system that eye and mouth's similarity that calculate characteristic that is ratio red of each individual after divide face by each individual and is segmentalized giving weight in specification calculation recognize user confirming similarity through search. Could experiment method to propose and know that the awareness rate through analysis with the wave rises.

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A Study on the Color Coordination of Eye-shadow Makeup - Focused on Works of Kendra Stanton in Makeup of 'Daytime to Night', 'Special Occasion', 'Holiday Accents', 'Seasonal Looks' and 'Animated Characters' - (아이섀도우 메이크업(Eye-shadow Makeup)의 컬러 배색에 관한 연구 - 켄드라 스탠튼(Kendra Stanton)의 "내추럴(Daytime to Night)", "스페셜(Special Occasion)", "할러데이(Holiday Accents)", "시즌(Seasonal Looks)", "캐릭터(Animated Characters)" 메이크업 경우를 중심으로 -)

  • Ji, Hyun Suk;Kim, Eun Sil
    • Fashion & Textile Research Journal
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    • v.18 no.4
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    • pp.509-519
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    • 2016
  • The purpose of this study is to present important guidelines for effective eye-shadow color coordination according to T.P.O. such as 'Day time to Night', 'Special Occasions', 'Holiday Accents', 'Seasonal Looks' and 'Animated Characters'. The method is as follows; This study examined the 100 works of her published in the?500 EYE MAKEUP DESIGNS?. For this research analysis, three specialists selected a total of 100 photo-works through 3 rounds of evaluation. This study analysis was conducted based on the colors and tones of eye-shadows identified under Munsell's basic color chart. The study findings are as follows; First, 'Day time to Night' was found to have similarity coloration most frequently, presenting a more stable look in the Natural makeup. Second, 'Special Occasions' showed similarity, accent, and complex colorations mainly. Third, 'Holiday Accents' showed diverse types of colorations such as accent, complex, similarity and contrast. Forth, 'Seasonal Looks' was found to use a variety of colorations including similarity, contrast, accent, gradation and complex. Fifth, 'Animated Characters' showed contrast coloration the most for dramatic effect along with accent and complex colorations to give a unique and symbolic look. The color scheme database(DB) obtained in this study will be present important guidelines for future in eye-shadow makeup design.

Incoming and Outgoing Human Matching Using Similarity Metrics for Occupancy Sensor (점유센서를 위한 유사성 메트릭을 이용한 입출입 사람 매칭)

  • Woo, Youngje;Jeong, Jaejoon;Choi, Changyeol;Kim, Manbae
    • Journal of Broadcast Engineering
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    • v.24 no.2
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    • pp.353-356
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    • 2019
  • The main functionality of occupancy sensors is to determine the existence of humans in the space. If the space is occupied, a light is on and for vacancy, the light automatically turns off. In this letter, the functionality is realized by the utilization of color information. The color information of incoming people is saved. For outgoing people, their color distribution is compared with the saved information, thus providing the recognition of the outgoing people. For the comparison, four similarity metrics are examined to validate the proposed method.

Image Search Using Interpolated Color Histograms (히스토그램 보간에 의한 영상 검색)

  • Lee, Hyo-Jong
    • The KIPS Transactions:PartB
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    • v.9B no.5
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    • pp.701-706
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    • 2002
  • A set of color features has been efficiently used to measure the similarity of given images. However, the size of the color features is too large to implement an indexing scheme effectively. In this paper a new method is proposed to retrieve similar images using an interpolated color histogram. The idea is similar to the already reported methods that use the distributions of color histograms. The new method is different in that simplified color histograms decide the similarity between a query image and target images. In order to represent the distribution of the color histograms, the best order of interpolated polynomial has been simulated. After a histogram distribution is represented in a polynomial form, only a few number of polynomial coefficients are indexed and stored in a database as a color descriptor. The new method has been applied to real images and achieved satisfactory results.

Histogram Equalized Eigen Co-occurrence Features for Color Image Classification (컬러이미지 검색을 위한 히스토그램 평활화 기반 고유 병발 특징에 관한 연구)

  • Yoon, TaeBok;Choi, YoungMee;Choo, MoonWon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.705-708
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    • 2010
  • An eigen color co-occurrence approach is proposed that exploits the correlation between color channels to identify the degree of image similarity. This method is based on traditional co-occurrence matrix method and histogram equalization. On the purpose of feature extraction, eigen color co-occurrence matrices are computed for extracting the statistical relationships embedded in color images by applying Principal Component Analysis (PCA) on a set of color co-occurrence matrices, which are computed on the histogram equalized images. That eigen space is created with a set of orthogonal axes to gain the essential structures of color co-occurrence matrices, which is used to identify the degree of similarity to classify an input image to be tested for various purposes. In this paper RGB, Gaussian color space are compared with grayscale image in terms of PCA eigen features embedded in histogram equalized co-occurrence features. The experimental results are presented.

The Extracting Method of Key-frame Using Color Layout Descriptor (컬러 레이아웃을 이용한 키 프레임 추출 기법)

  • 김소희;김형준;지수영;김회율
    • Proceedings of the IEEK Conference
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    • 2001.06c
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    • pp.213-216
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    • 2001
  • Key frame extraction is an important method of summarizing a long video. This paper propose a technique to automatically extract several key frames representative of its content from video. We use the color layout descriptor to select key frames from video. For selection of key frames, we calculate similarity of color layout features extracted from video, and extract key frames using similarity. An important aspect of our algorithm is that does not assume a fixed number of key frames per video; instead, it selects the number of appropriate key frames of summarizing a long video Experimental results show that our method using color layout descriptor can successfully select several key frames from a video, and we confirmed that the processing speed for extracting key frames from video is considerably fast.

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An Effective Similarity Measure for Content-Based Image Retrieval using MPEG-7 Dominant Color Descriptor (내용기반 이미지 검색을 위한 MPEG-7 우위컬러 기술자의 효과적인 유사도)

  • Lee, Jong-Won;Nang, Jong-Ho
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.8
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    • pp.837-841
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    • 2010
  • This paper proposes an effective similarity measure for content-based image retrieval using MPEG-7 DCD. The proposed method can measure the similarity of images with the percentage of dominant colors extracted from images. As the result of experiments, we achieved a significant improvement of 18.92% with global DCD and 47.22% with local DCD in ANMRR than the result by QHDM. This result shows that the proposed method is an effective similarity measure for content-based image retrieval. Especially, our method is useful for region-based image retrieval.

The Types of Color Coordination and Their Characteristics In Contemporary Women′s Fashion (현대 여성 패션에 나타난 색채 코디네이션의 유형과 유형별 특성 분석)

  • Kwon Hae-Sook;Shim Eun-A
    • Journal of the Korea Fashion and Costume Design Association
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    • v.6 no.3
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    • pp.139-152
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    • 2004
  • The main objective of this research is to investigate the color coordination types and their characteristics of contemporary female fashion by reviewing 'pre-a-porter Collections' of four collections (i.e., cities) - Paris, Milan, New York, London - from the periods of 2000 S/S to 2002/3 A/W. Through the review of various books and articles written on the subject, the color coordination types and their characteristics were categorized and defined. The data was collected by reviewing 'pre-a-porter Collections' magazine and total 4,269 observations were made. These in turn were categorized into eight color coordination and three color tone categories through the content analysis. Frequency analysis was used to analyse the data. The findings are as follows; First of all, there were 8 observable color coordination categories in contemporary women's fashion. The most used color coordination was chromatic & achromatic color coordination. It was followed by chromatic identical, and then by achromatic identical color coordination. These three color coordinations were the majority, comprizing 73.4% of the total. The rest were in the order of complementary, gradation, similarity, accent. And the most used tone type was contrasting tone and followed by similar and identical. Next, the analysis of each coordination categories shows that; The chromatic identical coordination focused on presenting its own unity or break it using the contrasting color tone. Meanwhile, the achromatic identical coordination project a clean and strong feeling through black and white combination or a subtle feeling through the different material combination. The chromatic & achromatic coordination showed strong colors and contrasting tones of clear and bright colors. Meanwhile, the characteristics of complementary coordinations are that these coordinations seem to free the colors and show the subtle changes in tones very clearly. The gradation coordination was used to create a cool and lively feeling. Next, the similarity coordination seems to create feminine and warm feeling by taking advantage of similar color feelings, often through the use of warm to warm, cool to cool color matching. Lastly, the accent coordination, through the use of contrasting tones emphasizes the differences in colors, while separation coordination mostly uses black and white on various color coordinations.

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A Performance Improvement of Automatic Butterfly Identification Method Using Color Intensity Entropy (영상의 색체 강도 엔트로피를 이용한 나비 종 자동 인식 향상 방법)

  • Kang, Seung-Ho;Kim, Tae-Hee
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.624-632
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    • 2017
  • Automatic butterfly identification using images is one of the interesting research fields because it helps the related researchers studying species diversity and evolutionary and development process a lot in this field. The performance of the butterfly species identification system is dependent heavily on the quality of selected features. In this paper, we propose color intensity (CI) entropy by using the distribution of color intensities in a butterfly image. We show color intensity entropy can increase the recognition rate by 10% if it is used together with previously suggested branch length similarity entropy. In addition, the performance comparison with other features such as Eigenface, 2D Fourier transform, and 2D wavelet transform is conducted against several well known machine learning methods.

Similarity Criteria in GUI and Icon Design - with an Emphasis on the Quantitative Evaluation using Checklists - (화상디자인의 유사성 판단기준에 대한 연구 - 체크리스트를 활용한 정량적인 평가 방법을 중심으로-)

  • 김소영;최민영;임창영
    • Archives of design research
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    • v.16 no.4
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    • pp.101-110
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    • 2003
  • This paper is focused on the similarity of GUI design and proposes checklists for evaluating similarity of GUI design in quantitative way and more important factors in this checklists. On the first, consideration of similarity and analysis of GUI properties are made, and from these results, the categories that affect the evaluation of similarity are extracted. The categories are consisted of 5 factors, which are concept, shape, color, relation, and multimedia. The checklists from above 5 categories are tested in 3-stage, and in this paper, 11 checklists from shape, color, and relation factor of the second stage are verified by online survey. The purpose of this survey is to find out the difference between user groups(designer, computer related, etc) and more important factors in the checklists that affect the total results of similarity. In the results of survey, the checklists have no relation with the user groups and among the checklists, external shape, composition element, and design methods have impact factors on the evaluation of similarity.

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