• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.3
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• pp.384-390
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• 2020

The reverberation effect on the sound when producing movies or VR contents is a very important factor in the realism and liveliness. The reverberation time depending the space is recommended in a standard called RT60(Reverberation Time 60 dB). In this paper, we propose a scene recognition technique for automatic reverberation editing. To this end, we devised a classification model that independently trains color images and predicted depth images in the same model. Indoor scene classification is limited only by training color information because of the similarity of internal structure. Deep learning based depth information extraction technology is used to use spatial depth information. Based on RT60, 10 scene classes were constructed and model training and evaluation were conducted. Finally, the proposed SCR + DNet (Scene Classification for Reverb + Depth Net) classifier achieves higher performance than conventional CNN classifiers with 92.4% accuracy.

• Applied Chemistry for Engineering
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• v.34 no.1
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• pp.80-85
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• 2023

New yellow quinoline-dione dye derivatives were designed and synthesized for use in image sensor color filters. The synthesized compounds have a basic chemical structure composed of quinoline and dione groups. New materials were evaluated on the basis of their optical and thermal properties under conditions mimicking those of a commercial device fabrication process. A comparison of their related performances revealed that, between the two prepared compounds, 2-(3-hydroxyquinolin-2(1H)-ylidene)-1H-indene-1,3(2H)-dione (HQIDO) exhibited the superior performance as an image sensor color filter material, including a solubility greater than 0.5 wt% in propylene glycol monomethyl ether acetate solvent and a high decomposition temperature of 298 ℃, respectively. The results suggest that HQIDO can be used as a yellow dye additive in an image sensor colorant.

• Applied Chemistry for Engineering
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• v.34 no.6
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• pp.590-595
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• 2023

Novel aromatic imine derivatives with yellow were designed and synthesized for their potential application in color filters for image sensors. The synthesized compounds possessed chemical structures using aromatic imine groups. This innovative material was evaluated thoroughly, considering its optical and thermal properties under conditions similar to commercial device manufacturing processes. Following a rigorous performance evaluation, it was found that (E)-3-methyl-4-((3-methyl-5-oxo-1-phenyl-1H-pyrazol-4(5H)-ylidene)methyl)-1-phenyl-1H-pyrazol-5(4H)-one, abbreviated as MOPMPO, exhibited an impressive solubility of 0.5 wt% in propylene glycol monomethyl ether acetate, predominantly utilized as the solvent in the industry. Furthermore, MOPMPO showed exceptional performance as a color filter material for image sensors, having a high decomposition temperature of 290 ℃. These data unequivocally establish MOPMPO as a viable yellow dye additive for coloring materials in image sensor applications.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.214-217
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• 2009

현대 패션분야에서 디자이너들의 예술적 표현의 주제이자 매체로서 활용되고 있는 빛은 보다 감성지향적인 방향으로 발전되는 추세로서, 빛을 활용한 감성 패션디자인에 대한 표현 방법과 조형적 특성을 분석하는 것은 매우 의미있는 일이다. 패션디자인에서 빛을 표현하는 방법으로는 빛의 반사, 이미지 표현, 발광, 투사에 의해 독창적으로 응용되어져 표현되어 왔으며, 다양한 빛의 표현을 위해 재료의 물성을 조작함으로써 얻을 수 있는 빛의 유희, 명암이나 형태, 색채를 통한 빛의 재현, 발광물질이나 인공광에 의한 발광, 프로젝터를 통한 빛 이미지 등 다양한 표현방법이 활용되고 있었다. 빛이 활용된 감성 패션디자인의 조형적 특성으로는 상호작용성, 영상성, 투명성, 실험성으로 분류되었다. 상호작용성은 착용자의 행위에 의한 변형과 신체의 변화나 감정의 변화에 의한 불빛이나 영상 패턴이 바뀌는 등 형태나 컬러, 영상의 변형 등 착용자의 메시지 전달이나, 감정표현, 신체보호, 그리고 재미를 유발하는 효과를 자아내는 것으로 나타났다. 영상성은 디지털 이미지를 활용한 것과 내부 광원에 의한 발광성으로 분류되며, 드레스에 장착된 수많은 LED 에 의한 영상을 만들거나 이미지를 확대시키는 방법으로 표현된 영상성은 심미적인 효과가 우선시되었다. 투명성은 주로 비닐, 플라스틱, 기능적 소재 등 투명한 소재들을 이용하여 대부분 재료의 특성이 조형적 특성으로 분석되었고, 외부와의 개방성과 위장가능성의 효과를 준다거나, 투명한 재질에 이미지가 변화하는 이미지의 중첩성과 같은 효과를 나타내었다. 실험성은 새로운 실험적 도구로서의 패션을 표현하고자 할 때, '빛'을 매개체로 하여 관심을 유도하고 재미를 더해주며, 신비주의적 환상이나 호기심을 불러일으키는 효과를 나타내었다. 이처럼 빛을 활용한 패션디자인은 빛을 매개체로 하여 다양한 표현방법으로 활용이 가능하며 특유의 조형적 특성을 가지고 있음을 알 수 있었다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.1
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• pp.25-30
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• 2008

In this paper, we propose a color quantization method regarding facial image for mobile services. For facial images, skin colors are more emphasized. First, we extract skin-color mask in the image and divide the image into two regions. Next, we extract color pallette for two regions respectively. In the proposed method, the loss in the face region is minimized and it can be useful for mobile services considering facial images. From the 8-bit color quantization experiment, we show that the proposed method works well.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.169-173
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• 2008

A navigation system for virtual environments using low-quality HMD(head mounted display) must quantize images when the system presents true-color image with restricted number of colors. Such navigation system quantizes an image by using fixed palette. If the system represents an image by using a variable palette which is made considering a region around the viewpoint then user can perceive a virtual environments more vividly because human visual system is sensitive to the colors variation in the region around the viewpoint. In this paper we propose a color quantization algorithm that quantize a region around the viewpoint more finely than other regions at each variation of viewpoint for virtual environments navigation system.

• Science of Emotion and Sensibility
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• v.23 no.4
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• pp.21-32
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• 2020

The perception of a fashion product may vary depending on the texture and color of its material. Additionally, the product may appear differently in person versus on a digital screen. Therefore, in the present study, we sought to investigate the differences in visual sensibility evaluation between materials in person and on digital screens. In this study, three pairs of visual sensibility adjectives were tested for 60 samples selected as fashion materials. Fashion materials were divided into colors, embossings, and visual clarity categories. Results showed that each color had the same sense during in-person and digital evaluation. In terms of visual sensibility according to embossing, both in-person and digital evaluations of materials with embossings were found to have the same visual sense, whereas those without embossings looked different between in-person and digital evaluations. Assessments based on visual classification showed that both in-person and digital evaluations had the same sensibility. This study is meaningful in suggesting that when evaluating the visual sense of fashion material, the sensation for the digital screen versus in person may be different in some cases.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.415-418
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• 2019

본 논문에서 grayscale 이미지를 그럴듯한 컬러 이미지로의 전환을 다루고자 한다. 기존의 CNN Network 를 통해 실제 Image 를 만들어내려는 기법들은 모든 Pixel 의 Error 를 Loss 로 사용한다. 각 픽셀별로 가장 완벽한 답을 찾으려고 하기보다는, 전체 픽셀의 관점에서의 Loss 를 줄이려고 하기 때문에, 픽셀 값이 정확한 값대신 안전한 값으로 넘어간다는 단점이 있다. 이 문제를 해결하기 위해 본 논문에서 GAN 기반의 Image-to-Image Translation 기법에 NIN(Network in Network) 적용해 이 문제를 해결할 수 있음을 보인다. 전통 CNN 기법보다 더 Photo-realistic 한 이미지를 생성할 수 있게 된다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.55-57
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• 2006

본 논문에서는 컬러코드를 이용하여 증강현실 시스템에 사용 가능한 태그를 탐지하는 알고리즘을 설계하고 차단 현상에 강인한 알고리즘을 제안하였다. 기존의 ARToolkit에서 태그의 일부분이 사용자 또는 다른 물체에 의해 가려지게 될 경우 증강되었던 객체가 순간 사라져 버리는 불안정성 (Instability) 문제를 해결하기 위한 방법에 초점을 맞춘다. 불안정성의 문제는 이미지 안에 태그가 존재하지만 해당하는 객체를 증강시키지 못하는 False Negative 에러와 태그가 존재하지 않는 곳에 잘못된 객체를 증강시키는 False Positive 에러로 분류 될 수 있다. 제안된 탐지 알고리즘으로 특정 컬러 영역을 분리하여 모서리 여부를 판별하고 모서리인 경우 가려진 꼭지점의 위치를 추출하여 태그가 차단에 의하여 가려졌을 때에도 객체를 안정적으로 증강시킬 수 있다. 기존 AR 시스템들의 태그를 가지고 Daylight 65, Illuminant A. CWF, TL84의 4가지의 표준 조명하에 컬러코드 4종류, ARToolkit 태그 4개, ARTag 4개를 이용하여 실험을 진행하여 차단 현상이 발생하면 전혀 객체를 증강시킬 수 없었던 ARToolkit에서도 DayLight65의 경우 50%의 False Negative. False Positive rate을 보여 기존 증강현실 시스템에서 보였던 불안정성 문제를 개선하였다.

• Journal of the Korean Society for information Management
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• v.28 no.2
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• pp.135-158
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• 2011

The ability of the searcher to express their information problem to an information retrieval system is fundamental to the retrieval process. Query by visual example is the principal query paradigm for expressing queries in a content-based image retrieval environment yet there is little empirical evidence to support its efficacy in facilitating query formulation. The aim of this research was to investigate the usability of the query by colour method in supporting a range of information problems in order to contribute to the gap in knowledge regarding the relationship between searchers' information problems and the query methods required to support efficient and effective visual query formulation. The results strongly suggest that the query method does not support visual query formulation and that there is a significant mismatch between the searchers information problems and the expressive power of the retrieval paradigm.