• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.524-527
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• 2003

최근 들어 립리딩은 멀티모달 인터페이스 기술의 응용분야에서 많은 관심을 모으고 있다. 동적 영상을 이용한 립리딩 시스템에서 해결해야 할 주된 문제점은 상황 변화에 독립적인 얼굴 영역과 입술 영역을 추출하는 것이다. 본 논문에서는 움직임이 있는 영상에서 화자의 얼굴영역과 입술영역을 컬러, 조명등의 변화에 독립적으로 추출하기 위해 HSI 모델과 블록 매칭을 이용하였고 특징 점 추출에는 이미지 기반 방법인 PCA 기법을 이용하였다. 추출된 입술 파라미터와 음성 데이터에 각각 HMM 기반 패턴 인식 방법을 개별적으로 적용하여 단어를 인식하였고 각각의 인식 결과를 가중치를 주어 합병하였다. 실험 결과에 의하면 잡음으로 음성 인식률이 낮아지는 경우에 음성인식과 립리딩을 함께 사용함으로써 전체적인 인식 결과를 향상시킬 수 있었다.

• Journal of Korea Multimedia Society
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• v.24 no.3
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• pp.406-415
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• 2021

The worldwide spread of the Internet and the digital information revolution have resulted in a rapid increase in the use and transmission of multimedia information due to the rapid development of communication technologies. It is important to protect images in order to prevent problems such as piracy and illegal distribution. To solve this problem, I propose a new digital color image encryption algorithm in this paper. I design a new pseudo-random number generator based on 1D five-neighborhood maximum length cellular automata (FN-MLCA) to change the pixel values of the plain image into unpredictable values. And then I use a 3D chaotic cat map to effectively shuffle the positions of the image pixel. In this paper, I propose a method to construct a new MLCA by modeling 1D FN-MLCA. This result is an extension of 1D 3-neighborhood CA and shows that more 1D MLCAs can be synthesized. The safety of the proposed algorithm is verified through various statistical analyses.

• The monthly packaging world
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• s.358
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• pp.65-70
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• 2023

(사)한국패키지디자인협회(회장 강부연)가 '2022 제31회 대한민국패키지디자인대전'의 수상작을 발표했다. 이 공모전은 국내 유일의 포장디자인 공모전으로 대학생부문과 일반부문으로 나뉘어 독창성, 상품의 외관, 기능, 소재, 경제성 등을 심사하여 선정했다. 이번 공모전은 포장디자인 분야 디자이너들의 많은 관심과 호응으로 대학생부문은 10개 대학 177점, 일반부문은 30개 업체 71점이 우수 포장디자인 제품으로 선정되어 포장 디자인의 중요성을 통해 위상을 다시 한 번 드높였다. 출품작들의 주목할 점으로는 친환경 트렌드를 반영한 다수의 제품들이 출품되었다는 것이다. 특히, 코로나19 장기화로 인한 소비패턴과 생활의 변화에 따른 트렌드를 반영한 포장디자인 제품이 대거 출품되어 이목을 끌었다. 올해 '대상'은 서울우유협동조합 골든저지밀크 제품이 선정되었으며, 이외 은상으로 업사이클링에 포커스를 맞춘, (주)신원인팩/페어플레이파머스 농업회사법인 사과 부산물을 활용한 친환경 사과트레이 [업사이클링 : APPLE CLAM(애플클램), 화이트와 메탈릭 컬러 매치를 통한 고급화 이미지를 극대화시킨 디자인 (주)아워홈 AMORIS Charcutrie 등 우수 포장디자인으로 선정되었다. 본지에서는 공모전 일반부문 본상 수상작들을 통해 패키지디자인의 최신 동향을 살펴보도록 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.557-560
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• 2010

고성능의 보급형 디지털 영상장비와 레이저프린터의 보급으로 인해 인쇄물의 불법적인 위변조가 사회적 문제로 대두되고 있고, 관련 범죄 또한 증가하는 추세이다. 이에 따라 디지털 포렌식 기술에 기반한 촬영 및 인쇄기기 식별 기술들이 연구되고 있다. 본 논문에서는 인쇄기기별 특성에서 기인하는 인쇄물의 노이즈 특성을 이용해 인쇄기기를 판별하는 알고리즘을 제안한다. 이산 웨이블릿 변환과 위너 필터를 이용한 노이즈 특성 추출 방법을 설명하고, 추출된 노이즈 특성에서 명암도 동시발생 행렬을 계산하고 왜도, 첨도, 공분산, 상관계수의 특징을 추출하였다. 추출한 특징을 서포트 벡터 머신에 적용하여 디지털 인쇄기기의 제조사와 모델을 판별하였다. 제안한 알고리즘의 성능을 분석하기 위하여 7대 프린터에서 각 371장씩 출력된 총 2,597장 이미지로 실험하였고, 제안한 알고리즘이 기존 방법에 비하여 높은 정확률을 나타냄을 보였다.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.927-932
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• 2009

There is such a kind of characteristic by using the computer digitization technology's interaction. It not only provides the authoring tool, and also has the user-friendly window. The paper based on this kind of interaction, through the sound and the color exchange of information, as well as each information's digitization, carries on about the scientific dielectric related advance research. This research carries on the analysis to the people to the color and the sound perceptual characteristic first, then makes comparison to the people regarding the color and the music perceptual cognition.. The research is about the research stage of the interactive sound installation creation, which shape is carried on the analysis through the extraction image in color. It is based on the perceptual characteristic,is that the algorithm manufacture reasearch of how to make color sonification. Through capturing the non-stop changing colors by camera,it transforms colors into music. The paper's foundation is the fundamental algorithm manufacture of experimental music composition.

• Journal of Advanced Navigation Technology
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• v.14 no.2
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• pp.191-197
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• 2010

Many does an application and application but the image analysis of face detection considerably is difficult. In order for with effect of the illumination which is irregular in the present paper America the illumination to range evenly in the face which is detected, detects a face territory, Complemented the result which detects only the front face of existing. With LAB color illumination revisions compared in Adaboost face detection of existing and 32% was visible the face detection result which improves. Bought two images which are input and executed Glassfire label rings. Compared Area critical price and became the area of above critical value and revised from RGB smooth anger and LAB images with LCFD system algorithm. The operational conversion image which is extracted like this executed a face territory detection in the object. In order to extract the feature which is necessary to a face detection used AdaBoost algorithms. The face territory remote login with the face territory which tilts in the present paper, until Multi-view face territory detections was possible. Also relationship without high detection rate seems in direction of illumination, With only the public PC application is possible was given proof user authentication field etc.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.1
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• pp.13-20
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• 2016

In this paper, we propose an object recognition system that can effectively find out its category, its instance name, and several attributes from the color and depth images of an object with hierarchical feature learning. In the preprocessing stage, our system transforms the depth images of the object into the surface normal vectors, which can represent the shape information of the object more precisely. In the feature learning stage, it extracts a set of patch features and image features from a pair of the color image and the surface normal vector through two-layered learning. And then the system trains a set of independent classification models with a set of labeled feature vectors and the SVM learning algorithm. Through experiments with UW RGB-D Object Dataset, we verify the performance of the proposed object recognition system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.11C
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• pp.1040-1048
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• 2009

This paper proposes an auto flesh tone balance algorithm for the picture that is taken for people. General white balance algorithms bring neutral region into focus. But, other objects can be basis if its spectral reflectance is known. In this paper the basis for white balance is human face. For experiment, first, transfer characteristic of image sensor is analyzed and camera output RGB on average face chromaticity under standard illumination is calculated. Second, Output rate for the image is adjusted to make RGB rate for the face photo area taken under unknown illumination RGB rate that is already calculated. Input tri-stimulus XYZ can be calculated from camera output RGB by camera transfer matrix. And input tri-stimulus XYZ is transformed to standard color space (sRGB) using sRGB transfer matrix. For display, RGB data is encoded as eight-bit data after gamma correction. Algorithm is applied to average face color that is light skin color of Macbeth color chart and average color of various face colors that are actually measured.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.3
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• pp.304-308
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• 2010

In this paper, we propose a new method of recognizing the vehicle license plate using color space, morphological characteristics and ART2 algorithm. Morphological characteristics of old and/or new style vehicle license plate among the candidate regions are applied to remove noise areas using 8-directional contour tracking algorithm, then follow by the extraction of vehicle plate. From the extracted license plate area, plate morphological characteristics of each region are removed. After that, labeling algorithm to extract the individual characters are then combined. The classified individual character and numeric codes are applied to the ART2 algorithm for the learning and recognition. In order to evaluate the performance of our proposed extraction and recognition of vehicle license method, we have run experiments on 100 green plates and white plates. Experimental results shown that the proposed license plate extraction and recognition method was effective.

• Journal of Satellite, Information and Communications
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• v.9 no.4
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• pp.1-6
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• 2014

Color image processing based on smoke detection is suitable detecting target to early detection of fire smoke. A method for detecting the smoke is processed in the pre-processing movement and color. And Next, characteristics of smoke such as diffusion, texture, shape, and directionality are used to post-processing. In this paper, propose the detection method of density distribution characteristic in characteristics of smoke. the generate a candidate regions by color thresholding image in Detecting the movement of smoke to the 10Frame interval and accumulated while 1second image. then check whether the pattern of the smoke by candidate regions to applying OBTP(Object Block Ternary Pattern). every processing is Block-based processing, moving detection is decided the candidate regions of the moving object by applying an adaptive threshold to frame difference image. The decided candidate region accumulates one second and apply the threshold condition of the smoke color. make the ternary pattern compare the center block value with block value of 16 position in each candidate region of the smoke, and determine the smoke by compare the candidate ternary pattern and smoke ternary pattern.