• Journal of KIISE:Software and Applications
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• v.32 no.12
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• pp.1157-1163
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• 2005

In this paper, an efficient and fast method to segment a video in the MPEG(motion picture expert group) video stream is proposed. For the real time processing of large amount of broadcasting data, we use DC images of I-frames in an MPEG compressed video with minimal decoding. Using the modified histogram comparison which counts on not only luminance but also chrominance information, the scene change detection was performed in the fast and accurate way Also, to discriminate anchorperson frame from non-anchor frame, a neural network method was introduced.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.8 no.4
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• pp.156-163
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• 1983

A composite DPCM system is designed and implemented for the transmission of a NTSC color TV signal over a 44, 736Mbps channel. It is based on an intra-field fourth-order linear predictor and a nonlinear quantizer of five bits. The predictor preserves both the luminance and the chrominance components through one predictor. To accomodate the speed requirement for real time processing, mainly high speed ECL gates and memory devices are used in the hardware implementation. Experimental results show that this composite DPCM system can be applicable for a practical transmission of color TV signal with CATV quality.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.69-72
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• 2002

Human face detection has many applications such as face recognition, face or facial feature tracking, pose estimation, and expression recognition. We present a new method for automatically segmentation and face detection in color images. Skin color alone is usually not sufficient to detect face, so we combine the color segmentation and shape analysis. The algorithm consists of two stages. First, skin color regions are segmented based on the chrominance component of the input image. Then regions with elliptical shape are selected as face hypotheses. They are certificated to searching for the facial features in their interior, Experimental results demonstrate successful detection over a wide variety of facial variations in scale, rotation, pose, lighting conditions.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08a
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• pp.1035-1038
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• 2007

In this paper, we propose a color image improvement method. The proposed algorithms are classified with the adaptive contrast stretching method for contrast enhancement and the adaptive saturation enhancement method for saturation enhancement. The adaptive contrast stretching method is to compensate a significant change of brightness while luminance is processed. The adaptive saturation enhancement method inhibits its saturation from de-saturation and oversaturation while chrominance is processed. The proposed algorithms are focused on a preference color processing in order to generate better image quality than the algorithms focused on a uniform color processing for human vision.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.25-30
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• 2017

In this paper, We proposed an effective demosaicking method for single chip RGB-NIR sensors to recover RGB and NIR images. As the method operates in the spatial frequency domain, the frequency domain characteristics of the sampled CFA data are investigated. Using the luminance signal in the frequency domain and the chrominance signals are processed separately with different filters. The simulated images using the real images are compared with other state-of-art methods. As a result, the proposed demosaicking method resulted an effective calculation by a single processing which the existing alternating projection method requires repeated calculation.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.887-890
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• 2004

임의 영상에서 얼굴 영역을 검출하고 얼굴 특징점 정보를 획득하는 기술은 얼굴 인식 및 표정 인식 시스템에서 중요한 역할을 한다. 본 논문은 색도 정보와 Top-hat 연산을 이용함으로써 얼굴의 유효 특징점을 효과적으로 검출할 수 있는 방법을 제안한다. 제안한 방법은 얼굴 영역 검출, 눈/눈썹 특징추출, 입술 특징추출의 세 과정으로 나눈다. 얼굴 영역은 $YC_{b}C_{r}$을 이용하여 피부색 영역을 추출한 후 모폴로지 연산과 분할을 통해 획득하고, 눈/눈썹 특징점은 BWCD(Black & White Color Distribution) 변환과 Top-hat 연산을 이용하며. 입술 특징점은 눈/눈썹과의 지정학적 상관관계와 입술 색상분포를 이용하는 방법을 사용한다. 실험을 수행한 결과. 제안한 방법이 다양한 영상에 대해서도 효과적으로 얼굴의 유효 특징점을 검출할 수 있음을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.604-606
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• 2003

본 논문은 향상된 Scale Invariant Feature Transform (SIFT) 기법과 이로부터 얻어진 로컬 특징 영역에서 다중특징을 이용한 물체인식 방법에 대하여 논하였다. SIFT 기법 [1]은 물체의 크기. 회전. 3차원 좌표변환에 강인한 특성을 갖는다. 이 기법에서는 크기가 다른 가우시안 (Gaussian) 함수를 적용한 영상들의 차이에서의 최대 및 최소값이 특징점으로 결정된다. 하지만 SIFT 알고리듬의 특성상, 인식되어야 될 물체의 비교적 큰 크기 변화, 중요도가 낮은 특징점들의 추출, 그리고 서로 다른 물체에서 추출된 유사한 특징벡터등이 인식 시스템의 신뢰도를 저하 시킬 수 있다. 이에 대응방안으로, 본 논문에서는 상대적으로 낮은 인식정보를 갖는 추출된 특징점을 제거하기 위한 기법과 서로 다른 물체에서 생성된 유사 특징벡터의 구분을 위한 특징점에서의 방위 (orientation) 비교법 및 색차 (chrominance) 정보를 사용에 대하여 기술하였다.

• 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.

• Journal of Conservation Science
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• v.25 no.4
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• pp.465-471
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• 2009

In this study, the substitution fumigation gases (15% Ethylene Oxide + 85% HFC 134a, 20% Ethylene Oxide + 80% $CO_2$, 99% Sulfuryl Fluoride + 1% Inert Gas) were applied on the metal, pigment, fabric and paper specimen. The result of the fumigation treatment with 15% Ethylene Oxide + 85% HFC 134a (200g/$m^3$, 48hours) is the color changes (${\Delta}E$) of 1st and 2nd Cu specimens showed significant difference as 3.40, 4.17. On the other hand, other specimens except for Cu showed less than 3.0 in chrominance values. The result with 20% Ethylene Oxide + 80% $CO_2$ (150g/$m^3$, 48hours) is that the color changes (${\Delta}E$) of 1st and 2nd specimens were overall less than 3.0 so that color differences were subtle and hardly recognized with naked eyes. So it is proved that the fumigation treatment with Ethylene Oxide 20% + $CO_2$ 80% is relatively stable on materials in this study. In the case of 99% Sulfuryl Fluoride + 1% Inert Gas (50g/$m^3$, 48hours), the color difference of Lead red ($PbO_4$) of pigment was more than 3.0 that was compared with contrast specimens. But chrominance values in the other specimens were less than 3.0 on average.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.710-721
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• 2010

Recently, for the advancement of embedded technology about mobile device, a new kind of service, mash-up is appeared. It is service or application combining multimedia content making tool or device and web-GIS(geographic information system) service in the mobile environment. This service can be ease to use for casual user and can apply in various ways. So, It is served in web 2.0 environment actively. But, in the mashup service, because generated multimedia contents linked with web map are new type of multimedia contents which include user's migration routes in the space such as GPS coordinates. Thus, there are no protection ways for intellectual property created by GIS web-map service users and user's privacy. In this paper, we proposed a location and user information hiding scheme for GIS web-map service. This scheme embeds location and user information into a picture that is taken by camera module on the mobile phone. It is not only protecting way for user's privacy but is also tracing way against illegal photographer who is peeping person through hidden camera. And than, we also realized proposed scheme on the mobile smart phone. For minimizing margin of error about location coordinate value against contents manipulating attacks, GPS information is embedded into chrominance signal of contents considering weight of each digit about binary type of GPS coordinate value. And for tracing illegal photographer, user information such as serial number of mobile phone, phone number and photographing date is embedded into frequency spectrum of contents luminance signal. In the experimental results, we confirmed that the error of extracted information against various image processing attacks is within reliable tolerance. And after file format translation attack, we extracted embedded information from the attacked contents without no damage. Using similarity between extracted one and original templete, we also extracted whole information from damaged chrominance signal of contents by various image processing attacks.