• Title/Summary/Keyword: color-scheme

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Data Hiding Scheme for Few-Color Image Using Weight Matrix (가중치 행렬을 이용한 다치 컬러 영상의 데이터 은닉 기법)

  • Ha, Soon-Hye;Park, Young-Ran;Park, Ji-Hwan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.1035-1038
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    • 2004
  • 스테가노그라피는 비밀 정보를 이미지나 오디오, 비디오 또는 텍스트 등 커버(cover) 라고 불리는 다른 미디어에 숨겨서 전송하는 방법으로 제 3자는 정보가 숨겨져 있다는 사실 자체를 알지 못하도록 하는 것이다. 대부분 영상 데이터를 이용하고 있으나, 제한된 색으로만 구성된 이진 영상 및 다치 영상의 경우 비시각적으로 비밀 정보를 숨기는 것이 일반 컬러 또는 그레이 영상에 비해 어려움이 있다. 본 논문에서는 가중치 테이블을 사용하여 영상의 한 블록에 최대 2비트만을 변경시키면서 많은 양의 정보를 숨기는 방법을 제안한다.

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Implementation of Object Feature Extraction within Image for Object Tracking (객체 추적을 위한 영상 내의 객체 특징점 추출 알고리즘 구현)

  • Lee, Yong-Hwan;Kim, Youngseop
    • Journal of the Semiconductor & Display Technology
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    • v.17 no.3
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    • pp.113-116
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    • 2018
  • This paper proposes a mobile image search system which uses a sensor information of smart phone, and enables running in a variety of environments, which is implemented on Android platform. The implemented system deals with a new image descriptor using combination of the visual feature (CEDD) with EXIF attributes in the target of JPEG image, and image matching scheme, which is optimized to the mobile platform. Experimental result shows that the proposed method exhibited a significant improved searching results of around 80% in precision in the large image database. Considering the performance such as processing time and precision, we think that the proposed method can be used in other application field.

Hierarchical Graph Based Segmentation and Consensus based Human Tracking Technique

  • Ramachandra, Sunitha Madasi;Jayanna, Haradagere Siddaramaiah;Ramegowda, Ramegowda
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.67-90
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    • 2019
  • Accurate detection, tracking and analysis of human movement using robots and other visual surveillance systems is still a challenge. Efforts are on to make the system robust against constraints such as variation in shape, size, pose and occlusion. Traditional methods of detection used the sliding window approach which involved scanning of various sizes of windows across an image. This paper concentrates on employing a state-of-the-art, hierarchical graph based method for segmentation. It has two stages: part level segmentation for color-consistent segments and object level segmentation for category-consistent regions. The tracking phase is achieved by employing SIFT keypoint descriptor based technique in a combined matching and tracking scheme with validation phase. Localization of human region in each frame is performed by keypoints by casting votes for the center of the human detected region. As it is difficult to avoid incorrect keypoints, a consensus-based framework is used to detect voting behavior. The designed methodology is tested on the video sequences having 3 to 4 persons.

Dithered Color-Based Image Retrieval Scheme (디더링된 색상 기반의 이미지 검색 기법)

  • Kim, Daehoon;Hwang, Eenjun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.11a
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    • pp.357-358
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    • 2009
  • 다양한 내용 기반의 이미지 검색 기법 중에서 특히 색상 기반의 검색은 다른 기법들에 비해 효율성 면에서 우수하기 때문에 PMP 와 같은 소형 기기에서부터 디지털 TV 등의 대형 기기에까지 적용 가능하다는 장점이 있으며, 실제 이를 적용한 제품들이 발표되고 있다. 한편, 디더렁(Dithering) 기법은 이미지가 주는 느낌을 유지하면서도 정보의 양을 줄일 수 있게 해준다. 따라서 디더링 처리된 영상으로부터 색상 정보를 추출하고, 색상 정보간의 EMD 값을 영상간 유사도로 사용한다면 효과적인 이미지 검색이 가능하다. 본 논문에서는 디더링된 색상 정보 기반의 새로운 검색 기법을 제안하고 프로토타입 시스템을 통하여 그 성능을 평가하였다.

Estimation of Water Quality Index for Coastal Areas in Korea Using GOCI Satellite Data Based on Machine Learning Approaches (GOCI 위성영상과 기계학습을 이용한 한반도 연안 수질평가지수 추정)

  • Jang, Eunna;Im, Jungho;Ha, Sunghyun;Lee, Sanggyun;Park, Young-Gyu
    • Korean Journal of Remote Sensing
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    • v.32 no.3
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    • pp.221-234
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    • 2016
  • In Korea, most industrial parks and major cities are located in coastal areas, which results in serious environmental problems in both coastal land and ocean. In order to effectively manage such problems especially in coastal ocean, water quality should be monitored. As there are many factors that influence water quality, the Korean Government proposed an integrated Water Quality Index (WQI) based on in situmeasurements of ocean parameters(bottom dissolved oxygen, chlorophyll-a concentration, secchi disk depth, dissolved inorganic nitrogen, and dissolved inorganic phosphorus) by ocean division identified based on their ecological characteristics. Field-measured WQI, however, does not provide spatial continuity over vast areas. Satellite remote sensing can be an alternative for identifying WQI for surface water. In this study, two schemes were examined to estimate coastal WQI around Korea peninsula using in situ measurements data and Geostationary Ocean Color Imager (GOCI) satellite imagery from 2011 to 2013 based on machine learning approaches. Scheme 1 calculates WQI using estimated water quality-related factors using GOCI reflectance data, and scheme 2 estimates WQI using GOCI band reflectance data and basic products(chlorophyll-a, suspended sediment, colored dissolved organic matter). Three machine learning approaches including Random Forest (RF), Support Vector Regression (SVR), and a modified regression tree(Cubist) were used. Results show that estimation of secchi disk depth produced the highest accuracy among the ocean parameters, and RF performed best regardless of water quality-related factors. However, the accuracy of WQI from scheme 1 was lower than that from scheme 2 due to the estimation errors inherent from water quality-related factors and the uncertainty of bottom dissolved oxygen. In overall, scheme 2 appears more appropriate for estimating WQI for surface water in coastal areas and chlorophyll-a concentration was identified the most contributing factor to the estimation of WQI.

Genetic Parameters of Reproductive and Meat Quality Traits in Korean Berkshire Pigs

  • Lee, Joon-Ho;Song, Ki-Duk;Lee, Hak-Kyo;Cho, Kwang-Hyun;Park, Hwa-Chun;Park, Kyung-Do
    • Asian-Australasian Journal of Animal Sciences
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    • v.28 no.10
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    • pp.1388-1393
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    • 2015
  • Genetic parameters of Berkshire pigs for reproduction, carcass and meat quality traits were estimated using the records from a breeding farm in Korea. For reproduction traits, 2,457 records of the total number of piglets born (TNB) and the number of piglets born alive (NBA) from 781 sows and 53 sires were used. For two carcass traits which are carcass weight (CW) and backfat thickness (BF) and for 10 meat quality traits which are pH value after 45 minutes (pH45m), pH value after 24 hours (pH24h), lightness in meat color (LMC), redness in meat color (RMC), yellowness in meat color (YMC), moisture holding capacity (MHC), drip loss (DL), cooking loss (CL), fat content (FC), and shear force value (SH), 1,942 pig records were used to estimate genetic parameters. The genetic parameters for each trait were estimated using VCE program with animal model. Heritability estimates for reproduction traits TNB and NBA were 0.07 and 0.06, respectively, for carcass traits CW and BF were 0.37 and 0.57, respectively and for meat traits pH45m, pH24h, LMC, RMC, YMC, MHC, DL, CL, FC, and SH were 0.48, 0.15, 0.19, 0.36, 0.28, 0.21, 0.33, 0.45, 0.43, and 0.39, respectively. The estimate for genetic correlation coefficient between CW and BF was 0.27. The Genetic correlation between pH24h and meat color traits were in the range of -0.51 to -0.33 and between pH24h and DL and SH were -0.41 and -0.32, respectively. The estimates for genetic correlation coefficients between reproductive and meat quality traits were very low or zero. However, the estimates for genetic correlation coefficients between reproductive traits and drip and cooking loss were in the range of 0.12 to 0.17 and -0.14 to -0.12, respectively. As the estimated heritability of meat quality traits showed medium to high heritability, these traits may be applicable for the genetic improvement by continuous measurement. However, since some of the meat quality traits showed negative genetic correlations with carcass traits, an appropriate breeding scheme is required that carefully considers the complexity of genetic parameters and applicability of data.

Block-based Color Image Segmentation Using Y/C Bit-Plane Sum]nation Image (Y/C 비트 평면합 영상을 이용한 블록 기반 칼라 영상 분할)

  • Kwak, No-Yoon
    • Journal of Digital Contents Society
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    • v.1 no.1
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    • pp.53-64
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    • 2000
  • This paper is related to color image segmentation scheme which makes it possible to achieve the excellent segmented results by block-based segmentation using Y/C bit-plane summation image. First, normalized chrominance summation image is obtained by normalizing the image which is summed up the absolutes of color-differential values between R, G, B images. Secondly, upper 2 bits of the luminance image and upper 6bits of and the normalized chrominance summation image are bitwise operated by the pixel to generate the Y/C bit-plane summation image. Next, the Y/C bit-plane summation image divided into predetermined block size, is classified into monotone blocks, texture blocks and edge blocks, and then each classified block is merged to the regions including one more blocks in the individual block type, and each region is selectively allocated to unique marker according to predetermined marker allocation rules. Finally, fine segmented results are obtained by applying the watershed algorithm to each pixel in the unmarked blocks. As shown in computer simulation, the main advantage of the proposed method is that it suppresses the over-segmentation in the texture regions and reduces computational load. Furthermore, it is able to apply global parameters to various images with different pixel distribution properties because they are nonsensitive for pixel distribution. Especially, the proposed method offers reasonable segmentation results in edge areas with lower contrast owing to the regional characteristics of the color components reflected in the Y/C bit-plane summation image.

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A Study on the Five Colors Appearing in the Traditional Korean Bojaki of the Era of Chosun Dynasty (조선시대 보자기에 나타나는 오방색에 관한 고찰)

  • Noh Eun-Hee
    • Journal of Science of Art and Design
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    • v.6
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    • pp.81-99
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    • 2004
  • For making something to use as a tool since the emergence of mankind, the initial pragmatic purpose has transformed into a new genre of art over time. Things defined like this have rooted in our culture as tradition so far. In the midst of today's various trends, a reflection of tradition and a modern search for tradition by re-creating it are much more needed. To any people in any time, a new trend would undeniably develop on the basis of its previous tradition in any form. The colors appearing in such artwork are also an expression of each people's unconscious potentiality as essential grounds for human aesthetic. The traditional Korean Bojaki, which was made out of women's pragmatic mind trying to recycle trashy pieces of cloth in the 19th century of Chosun Dynasty, appears as a symbolization of our nation's original form in unconsciousness. It includes Confucianism, Buddhism, Zen and the Yin-Yang and Five Elements thought, which have been together with naturalism. The five colors appearing in the Yin-Yang and Five Elements are the basis. Fourteen selected samples around the five colors seen in the color scheme of the Chosun era's Bojaki were measured and their color values were found by analyzing them based on HCV(Hue, Chroma, Value)of the five primary colors as well as the five secondary colors. After choosing a few colors with bare eyes close to traditional Primary Colors and Secondary Colors amongst 14 pieces of data which particularly used traditional Five Colors and examining them using spectrophotometer(JX777), the following conclusions were drawn. Comparing only colors in Primary Colors, the result was red 7.11R 4.59/10.69, blue 6.71PB 3.18/6.45, yellow 3.91Y 7.56/6.12, respectively. With regard to Secondary Colors, it was reported that red 7.96RP 5.42/10.3, blue 7.8B 5.16/5.53, green 8.03GY 6.05/4.34, yellow 2.73Y 7.47/4.07, purple 2.39RP 4.69/4.56, respectively. (diagram) As a result, the standard of Five Colors can be used in modern fiber color. There are differences in dyeing material, methods and kinds of fiber of that time, but women of Chosun Dynasty combined and made fabric which was circulated. Consequently, an applicable attribute of the aye-color values was considered.

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A Study on the Design Method of Flowering Plants Used in the English White Gardens - Focusing on Sissinghurst, Barrington Court Built in the Early 20th Century - (영국 화이트 가든(White Garden)의 초화류 설계기법 - 20C 초반 작정된 시싱허스트, 배링턴 코트를 중심으로 -)

  • Park, Eun-Yeong
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.28 no.4
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    • pp.144-153
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    • 2010
  • In making gardens, garden designers establish a principle using specific colors, collect materials, and combine them with their own aesthetic senses. This study is design mothed through the species and characteristics of flowering plants used in the Barrington court created by Gertrude Jekyll and Sissinghurst's white garden created by Vita Sackville-West, both of which are the most renowned gardens that used the white color. The analysis of each individual plant used in the gardens will be based on the season, colors, shapes, plant heights and aromaticity. Through their gardens, how the flowering plants aesthetically united with each other in creating the white gardens will be reviewed. To represent the freshness of spring, Jekyll planted Campanula spp. and Lilium spp. in the garden. Vita Sackvill-West aims at the moonlight in a summer night and features Delphinium spp., Rosa mulliganii, and R. longicuspis. The color of the flowers is in white, varying from pure white, ivory and silver. To prevent monotony due to monocolor flowers, the forms of the flowers are intense. To make white flowers look better, the colors of leaves include light green, light gray and bright and greenish yellow. Overall, cool colors are used to give a mystique, coolness, cleanness and to produce an fascinating and plaintive atmosphere, getting joined with white flowers and reflected light in the night. The White Garden has made significance in the history of landscape architecture: it was the starting point of garden design through theme colors, based on the idea and technology of planting design methods that discover the potential of colors and withdraw limits. And it also made a significant contribution to the advancement of garden art with combinations by aesthetic principles.

An Aggregate Fairness Marker without Per Flow Management for Fairness Improvement of Assured Service in DiffServ (DiffServ 방식의 Assured Service 에서 플로별 관리 없이 Fairness향상을 위한 Aggregate Fairness Marker)

  • Park, Ji-Hoon;Hur, Kyeong;Eom, Doo-Seop
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.7B
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    • pp.613-627
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    • 2004
  • In this paper, we propose an Aggregate Fairness Maker (ARM) required for an Edge router to improve fairness of throughput among the flows of Assured Service in DiffServ with different round trip time (RTT) and we propose a user flow Three Color Marker (uf-TCM) as a flow marker that marks packets from the flow as green, yellow, or red. A yellow packet is the packet that consumes loss token in uf-TCM as well as that is demoted green packet in AM due to disobey the aggregate traffic profile. The proposed AFH promotes yellow packet to green packet or demotes green packet to yellow packet through the fair method without per-flow management, and it improves the feirness of throughput among the flows as well as link utilization. A yellow packet and a red packet have the same drop precedence at Core Router in our scheme. So we can use the RIO buffer management scheme. We evaluated the performance of our proposed AFM and the REDP Marker that was proposed to improve fairness without per-flow management. Simulation results show that, compared with the REDP marker, proposed AFM can improve performance of throughput fairness among the flows with different RTT and link utilization under the over-provisioning, exact-provisioning, and under-provisioning network environments at Multiple DiffServ domains as well as at Single DiffServ domain.