• Journal of Internet Computing and Services
• /
• v.3 no.2
• /
• pp.69-77
• /
• 2002

Recently, Digital video is one of the important information media delivered on the Internet and playing an increasingly important role in multimedia. This paper proposes a Video Browsing Service(VBS) that provides both the video content retrieval and the video browsing by the real-time user interface on Web, For the scene segmentation and key frame extraction of video sequence, we proposes an efficient scene change detection method that combines the RGB color histogram with the $x^2$(Chi Square) histogram. Resulting key frames are linked by both physical and logical indexing, This system involves the video editing and retrieval function of a VCR's, Three elements that are the date, the field and the subject are used for video browsing. A Video Browsing Service is implemented with MySQL, PHP and JMF under Apache Web Server.

• International Journal of Naval Architecture and Ocean Engineering
• /
• v.6 no.4
• /
• pp.840-866
• /
• 2014

Visibility in underwater images is usually poor because of the attenuation of light in the water that causes low contrast and color variation. In this paper, a new approach for underwater image quality improvement is presented. The proposed method aims to improve underwater image contrast, increase image details, and reduce noise by applying a new method of using contrast stretching to produce two different images with different contrasts. The proposed method integrates the modification of the image histogram in two main color models, RGB and HSV. The histograms of the color channel in the RGB color model are modified and remapped to follow the Rayleigh distribution within certain ranges. The image is then converted to the HSV color model, and the S and V components are modified within a certain limit. Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction. The image color also shows much improvement.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2008.06a
• /
• pp.387-390
• /
• 2008

소음지도는 공간의 소음값을 3차원적으로 분석하여 GIS 데이터에 소음분석결과값을 RGB 값으로 표현한 것이다. 현재의 GIS는 2차원 데이터이므로 3차원 소음분석결과값을 표현하고 사용자들에게 제공하는 것에 효과적이지 못하다. 따라서 본 연구에서는 소음분석결과값을 보다 효과적으로 사용자들에게 제공하기 위하여 3차원 소음지도를 제작하고자 한다. 3차원 소음지도는 도시공간모델의 지형과 건물을 각각 소음분석결과값을 이용하여 texturing하여 가시화한 후 통합하여 완성한다. 지형의 경우, 지형의 기하학적 가시화완 지형의 texturing의 두 단계를 거쳐 완성하고 건물의 경우, 건물의 기하학적 3차원 가시화와 건물의 texturing의 두 단계를 거쳐 생성한다. 건물과 지형의 texturing의 단계에서 texture file은 소음분석결과값을 RGB코드로 변환하여 jpg파일로 생성한다. 생성된 3차원 소음지도는 영등포구 전체 영역을 대상지로 하였고 web기반의 VRML파일이다. 가시화의 효율성을 고려하여 영등포구 영역을 $200m{\times}200m$로 구역을 설정 607개의 구역으로 나누어 가시화하였다. 도시공간 모델을 이용하여 3차원 소음지도를 제작함으로써 도시공간모델을 이용하는 응용분야에서 3차원 공간분석의 가시화를 위한 방법을 제시할 수 있었다. 이를 통하여 공간 문제들의 결과를 사용자들에게 보다 효율적으로 제공할 수 있을 것이다.

• IEIE Transactions on Smart Processing and Computing
• /
• v.4 no.4
• /
• pp.272-280
• /
• 2015

This paper proposes color databases that can be used for various purposes for people with a color vision deficiency (CVD). The purpose of this paper is to group colors within the sRGB gamut into the CIE $L^*a^*b^*$ color space using the Brettel algorithm to simulate the representative colors of each group into colors visible to people with a CVD, and to establish a confusion line database by comparing colors that might cause confusion for people with different types of color vision deficiency. The validity of the established confusion lines were verified by using an Ishihara chart. The different colors that confuse those with a CVD in an Ishihara chart are located in the same confusion line database for both protanopia and deutanopia. Instead of the 3D RGB color space, we have grouped confusion colors to the CIE $L^*a^*b^*$ space coordinates in a more distinctive and intuitive manner, and can establish a database of colors that can be perceived by people with a CVD more accurately. Editor - Highlight - Do these changes reflect the intended meaning? If not, please rephrase as intended.

• International Journal of Computer Science & Network Security
• /
• v.21 no.9
• /
• pp.275-280
• /
• 2021

With the development of communication networks, the processes of exchanging and transmitting information rapidly developed. As millions of images are sent via social media every day, also wireless sensor networks are now used in all applications to capture images such as those used in traffic lights, roads and malls. Therefore, there is a need to reduce the size of these images while maintaining an acceptable degree of quality. In this paper, we use Python software to apply K-mean Clustering algorithm to compress RGB images. The PSNR, MSE, and SSIM are utilized to measure the image quality after image compression. The results of compression reduced the image size to nearly half the size of the original images using k = 64. In the SSIM measure, the higher the K, the greater the similarity between the two images which is a good indicator to a significant reduction in image size. Our proposed compression technique powered by the K-Mean clustering algorithm is useful for compressing images and reducing the size of images.

• Journal of Information Processing Systems
• /
• v.16 no.6
• /
• pp.1391-1406
• /
• 2020

A zero-watermarking algorithm in transform domain based on RGB channel and voting strategy is proposed. The registration and identification of ownership have achieved copyright protection for color images. In the ownership registration, discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) are used comprehensively because they have the characteristics of multi-resolution, energy concentration and stability, which is conducive to improving the robustness of the proposed algorithm. In order to take full advantage of the characteristics of the image, we use three channels of R, G, and B of a color image to construct three master shares, instead of using data from only one channel. Then, in order to improve security, the master share is superimposed with the copyright watermark encrypted by the owner's key to generate an ownership share. When the ownership is authenticated, copyright watermarks are extracted from the three channels of the disputed image. Then using voting decisions, the final copyright information is determined by comparing the extracted three watermarks bit by bit. Experimental results show that the proposed zero watermarking scheme is robust to conventional attacks such as JPEG compression, noise addition, filtering and tampering, and has higher stability in various common color images.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2020.11a
• /
• pp.312-314
• /
• 2020

인물의 위치와 행동을 인식하는 것은 여러 분야의 서비스에서 활용할 수 있는 기술이다. 그렇기에 다양한 방식으로 연구되어 왔다. 기존의 방식은 일반 RGB 카메라의 영상에 영상처리 기법과 딥러닝을 사용하여 3차원 공간상의 인물 위치를 인식하는 방식과 라이다와 같이 깊이를 인식 할 수 있는 장치를 활용하여 3차원 공간상 인물의 위치를 인식하는 방식이 있다. 각각의 방식은 RGB 카메라를 이용할 수 있다는 장점, 인식률이 우수하다는 장점을 가지고 있다. 하지만 영상처리 방식은 연산량이 많아 실시간 서비스에 불리하다는 한계점이 있다. 라이다 방식은 기기의 부피가 커 공간제약이 있다는 점과 이동이 불편하다 있다는 한계점이 있다. 본 연구에서는 Kinect와 openFrameworks를 활용하여 공간이 효율적이고 연산량이 적은 방식의 3차원 공간에서 인물 위치 인식과 실시간 이동에 대한 방향 인식을 다룬다.

• The Bulletin of The Korean Astronomical Society
• /
• v.46 no.1
• /
• pp.52.2-52.2
• /
• 2021

The Black Eye Galaxy M64 is an intriguing spiral galaxy with a Type III disk break. To trace the origin of its Type III component, we present HST/ACS F606W/F814W photometry of resolved stars in the outer disk of M64 (2.5' < R < 6.5'). First, we discover a bright extended globular cluster (GC) M64-GC1 at R ~ 5.5', and find that it is an old metal-poor halo GC ([Fe/H] = -1.5 +/- 0.2). Second, we find that there are two distinct subpopulations of red giant branch stars (RGBs). One is an old metal-rich ([Fe/H] ~ -0.4) disk population, and the other is an old metal-poor halo population similar to the resolved stars in M64-GC1. The radial number density profile of the metal-rich RGB follows an exponential disk law, while that of the metal-poor RGB follows a de Vaucouleurs's low. From these results, we conclude that the origin of the Type III component in M64 is a halo, not a disk or a bulge. We will further discuss the results in regards to the formation and evolution of M64.

• Journal of Radiation Protection and Research
• /
• v.30 no.3
• /
• pp.121-130
• /
• 2005

Geographical Information System(GIS) was established to display the calculation results which show the concentration change with time and regions in case of an accidental release of radionuclides from Kori Nuclear Power Plants. GIS included the commercial program, ArcView(ESRI), and a basic digital map of 1:5000 scale lot 20km by 20km around Kori area. The object for the presentation was $^{131}I$ concentration in rice which is one of staple foodstuffs. Provided by deposited $^{131}I$ concentrations, ECOREA-II code computed the $^{131}I$ concentration of the soil and the plant in the area divided by In unit cells in total, in which the concentrations also varied with time. The results were introduced into the attributed data of previously designed polygon cells in ArcView. In order to display the concentration change with time by monotonic color, the RGB value for ArcView color lamp was controlled. This display definitely helped the concentration change around Kori area be acceptable to public.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.1
• /
• pp.123-129
• /
• 2017

New mobile phones with high tech-camera and a large size memory have been recently launched and people upload pictures of beautiful scenes or unknown flowers in SNS. This paper develops a flower recognition system that can get information on flowers in the place where mobile communication is not even available. It consists of a registration part for reference flowers and a recognition part based on OpenCV for Android platform. A new color classification method using RGB color channel and K-means clustering is proposed to reduce the recognition processing time. And ORB for feature extraction and Brute-Force Hamming algorithm for matching are used. We use 12 kinds of flowers with four color groups, and 60 images are applied for reference DB design and 60 images for test. Simulation results show that the success rate is 83.3% and the average recognition time is 2.58 s on Huawei ALEUL00 and the proposed system is suitable for a mobile phone without a network.