• 한국광학회:학술대회논문집
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• 한국광학회 1990년도 제5회 파동 및 레이저 학술발표회 5th Conference on Waves and lasers 논문집 - 한국광학회
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• pp.102-111
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• 1990

In this thesis, an optical bidirectional inner-product associative memory model using liquid crystal television is proposed and analyzed theoretically and realized experimentally. The LCTV is used as a SLM(spatial light modulator), which is more practical than conventional SLMs, to produce image vector in terms of computer and CCD camera. Memory and input vectors are recorded into each LCTV through the video input connectors of it by using the image board. Two multi-focus hololenses are constructed in order to perform optical inner-product process. In forward process, the analog values of inner-products are measured by photodetectors and are converted to digital values which are enable to control the weighting values of the stored vectors by changing the gray levels of the pixels of the LCTV. In backward process, changed stored vectors are used to produce output image vector which is used again for input vector after thresholding. After some iterations, one of the stored vectors is retrieved which is most similar to input vector in other words, has the nearest hamming distance. The experimental results show that the proposed inner-product associative memory model can be realized optically and coincide well with the computer simulation.

• 한국멀티미디어학회논문지
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• 제21권8호
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• pp.960-968
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• 2018

The mobile visual search service uses a query image to acquire linkage information through pre-constructed DB search. From the standpoint of this purpose, it would be more useful if you could perform a search on a web-based keyword search system instead of a pre-built DB search. In this paper, we propose a representative query extraction algorithm to be used as a keyword on a web-based search system. To do this, we use image classification labels generated by the CNN (Convolutional Neural Network) algorithm based on Deep Learning, which has a remarkable performance in image recognition. In the query extraction algorithm, dictionary meaningful words are extracted using Wikipedia, and hierarchical categories are constructed using WordNet. The performance of the proposed algorithm is evaluated by measuring the system response time.

• 전자공학회논문지A
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• 제33A권10호
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• pp.144-151
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• 1996

In this paper, the theoretical analysis and the computer simulation of a new modified cochran's triangular interferometer as an incoherent holography, which can eliminate bias and conjugate image problems of the conventional cochran's triangular interferometer, are spresented. In other words, it is theoretically derived by using jones matrix operation that bias and conjugate image can be removed by adding simple optical components including a polarizing beam splitter, wave plates, and linear polarizers to the conventional with a point source, we demonstrated the validity of the suggested method by comparing the modified cocharan's triangular interferometer with the conventional one.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.501-504
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• 2003

This paper presents a new fractal coding scheme to find more optimal transformation by estimation of the optimal attractor. The conventional fractal coding schemes based on the collage theorem obtain the transformation to minimize the distance between an original image and its collage image. Heavy computation is why the schemes widely adopt the theorem. In other words, the optimal transformation can be obtained after the attractors of all the possible transformations are generated and then compared with an original image. It is clear that this process is not practical. Therefore, we introduce a sub-optimal scheme that provides better transformation than the conventional scheme, relieving the complexity problem in the optimal transformation. In a simple case, the optimal transformation can be obtained considering all the attractors and then our scheme is compared with the optimal. In general cases not to be able to find the optimal, our scheme is also evaluated and compared with the conventional schemes.

• 한국의류산업학회지
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• 제8권2호
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• pp.214-224
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• 2006

Computer graphics mean a reproduction of various information through image processing or the technology that is widely thought in makeup areas also, recently. Especially, Adobe Illustrator, unlike Adobe Photoshop used in image editing and correction, is software suitable for image drawing and reproducing beauty makeup. Beauty makeup is a work adorning human body to fit to the aesthetic standard in that period, and is a plastic art expressing shapes, colors and textures using design elements. Adobe Illustrator is a 2D graphics designing images using shapes having plane colors. In this study I studied techniques reproducing each element of contours and colors of beauty makeup through Adobe Illustrator CS. In other words, I have prepared a reference data by studying techniques reproducing beauty makeup using Adobe Illustrator CS. In this study, though, I couldn't try various things, because I limited facial contour and skin color to only one kind. Therefore, I hope, in the future, others can expand the ethnics of using Adobe Illustrator in more enriched ways by working on various facial contours and skin colors.

• 한국의상디자인학회지
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• 제2권2호
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• pp.155-171
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• 2000

This study is to measure and evaluate the sensibility image for textile pattern design based on the generation. Ten patterns classified by a practical survey on the market are presented. A questionnaire has 14 sensibility related words scaled by 7 point semantic differential method. The practical research is performed for 200 women screened by sensibility test for individual character analysis based on the generation. Each subject is answered by a face-to-face interview method to improve survey's accuracy, For statistical test about differences in treatment means, SAS package is used and analyzed through ANOVA, significance probability and mean, In summary, this paper has proposed the sensibility image scale for apparel pattern design to satisfy individual sensibility, The results of this study can be effectively applied to develop textile pattern design based on human sensibility.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.993-1014
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• 2021

This paper proposes a new image retrieval method called the 3D integrated multi-index to fuse SIFT (Scale Invariant Feature Transform) visual words with other features at the indexing level. The advantage of the 3D integrated multi-index is that it can produce finer subdivisions in the search space. Compared with the inverted indices of medium-sized codebook, the proposed method increases time slightly in preprocessing and querying. Particularly, the SIFT, contour and colour features are fused into the integrated multi-index, and the joint cooperation of complementary features significantly reduces the impact of false positive matches, so that effective image retrieval can be achieved. Extensive experiments on five benchmark datasets show that the 3D integrated multi-index significantly improves the retrieval accuracy. While compared with other methods, it requires an acceptable memory usage and query time. Importantly, we show that the 3D integrated multi-index is well complementary to many prior techniques, which make our method compared favorably with the state-of-the-arts.

• 한국의류학회지
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• 제32권4호
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• pp.630-640
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• 2008

The purpose of this study was to investigate and make comparison of clothing images presented in women's formal and casual brands. The data were collected from 39 formal brands out of 155 and 64 casual brands out of 256 in Korea Fashion Brand Annual in 2005/2006. 316 words selected were classified into five clothing images according to the definition of previous researches and analyzed according to age ranges and price zones of brands. The results were as follows: 1) Formal brands focused on thirties and forties in age ranges and better and prestige in price zones, while casual brands centered on twenties in age range and better and volume in price zones. 2) Luxury, modem and feminine were more frequent words than others both in formal and casual brands, but elegant was found most frequently in formal brands, while comfortable, chic and simple were found frequently in casual brands. 3) Clothing images were classified into four types and appeared in elegance, modernity, individuality, and activeness order in formal brands, while clothing images in casual brands were classified into five types including youthfulness and appeared in elegance, activeness, modernity, individuality, and youthfulness order. 4) Elegance was a highly presented as clothing image in all the age ranges except thirties of formal brands but modernity and activeness with elegance were presented in price zones of casual brands. This study found that there were differences in clothing images in women's formal and casual brands.

• 한국콘텐츠학회논문지
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• 제12권8호
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• pp.87-95
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• 2012

본 연구는 객관적인 화질 평가 요소들과 선호도를 기반으로 한 주관적 화질 평가 모형을 구축하여 감상자들의 화질에 대한 선호도를 객관적 요소들로 분석할 수 있도록 하였다. 즉 제조사들이 이해하기 쉬운 객관적 화질 평가 요소들을 선정하고, 이와 같은 요소들을 질문하는 문항을 기반으로 하여 사진의 품질을 평가하는 방식으로 주관적 화질 평가 모형을 구축하였다. 또한 화질 평가에 사용되는 실제 사진을 일반인들이 주로 촬영하는 장면인 인물사진으로 선택하여 실험결과의 일반화와 타당성을 추구하였다. 본 실험의 주관적 화질 평가 모형을 통하여 감상자들이 선호하는 화질을 평가하고 그 결과가 최종적인 사진의 선호도에 어떠한 상관관계를 갖으며 영향을 미치는지 분석하였다. 이와 같은 상관관계 분석을 통하여 감상자가 선호하는 화질에 대해 파악하고 화질을 향상시키는 요소를 분석할 수 있었다. 그 결과 선호도와 가장 상관관계가 높은 변수는 색재현력, 다이내믹 레인지, 노이즈, 해상도 순이었으며, 인물 사진 자극의 특성상 색재현력과 선호도가 가장 높은 수준의 상관관계를 보였다. 이러한 결과는 단순 수치화된 객관적 화질 평가 요소들을 언어로 확장시켜, 선호도에 기반을 둔 주관적 화질 평가 모형을 제시함으로써 일반 사용자와 제조사 모두가 쉽게 이해할 수 있는 새로운 방식의 접근이라고 할 수 있다.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2002년도 11월 학술대회지
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• pp.191-194
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• 2002

Lip-reading technology that is studied them is used to compensate speech recognition degradation in noise environment in bi-modal's form. The most important thing is that search for correct lips area in this lip-reading. But, it is hard to forecast stable performance in dynamic environment. Used RASTA filter that show good performance to remove noise in the speech to compensate. This filter shows that improve performance of using time domain of digital filter. To this experiment observes performance of speech recognition only using image information, service chooses possible 22 words and did recognition experiment in car. We used hidden Markov model by speech recognition algorithm to compare this words' recognition performance.