• 대한수학회보
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• 제56권3호
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• pp.681-689
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• 2019

The $M{\ddot{o}}bius$ homogeneous submanifold in ${\mathbb{S}}^{n+1}$ is an orbit of a subgroup of the $M{\ddot{o}}bius$ transformation group of ${\mathbb{S}}^{n+1}$. In this note, We prove that a compact $M{\ddot{o}}bius$ homogeneous submanifold in ${\mathbb{S}}^{n+1}$ is the image of a $M{\ddot{o}}bius$ transformation of the isometric homogeneous submanifold in ${\mathbb{S}}^{n+1}$.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.392-412
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• 2018

Due to the semantic gap problem across different modalities, automatically retrieval from multimedia information still faces a main challenge. It is desirable to provide an effective joint model to bridge the gap and organize the relationships between them. In this work, we develop a deep image annotation and classification by fusing multi-modal semantic topics (DAC_mmst) model, which has the capacity for finding visual and non-visual topics by jointly modeling the image and loosely related text for deep image annotation while simultaneously learning and predicting the class label. More specifically, DAC_mmst depends on a non-parametric Bayesian model for estimating the best number of visual topics that can perfectly explain the image. To evaluate the effectiveness of our proposed algorithm, we collect a real-world dataset to conduct various experiments. The experimental results show our proposed DAC_mmst performs favorably in perplexity, image annotation and classification accuracy, comparing to several state-of-the-art methods.

• Journal of Information Processing Systems
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• 제16권1호
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• pp.49-60
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• 2020

To solve the edge ringing or block effect caused by the partial differential diffusion in image enhancement domain, a new image enhancement algorithm based on bidirectional diffusion, which smooths the flat region or isolated noise region and sharpens the edge region in different types of defect images on aviation composites, is presented. Taking the image pixel's neighborhood intensity and spatial characteristics as the attribute descriptor, the presented bidirectional diffusion model adaptively chooses different diffusion criteria in different defect image regions, which are elaborated are as follows. The forward diffusion is adopted to denoise along the pixel's gradient direction and edge direction in the pixel's smoothing area while the backward diffusion is used to sharpen along the pixel's gradient direction and the forward diffusion is used to smooth along the pixel's edge direction in the pixel's edge region. The comparison experiments were implemented in the delamination, inclusion, channel, shrinkage, blowhole and crack defect images, and the comparison results indicate that our algorithm not only preserves the image feature better but also improves the image contrast more obviously.

• 통상정보연구
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• 제18권3호
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• pp.101-130
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• 2016

최근 소비시장으로서 중국의 중요성이 증대됨에 따라 중국 소비자들에 대한 체계적이고 과학적인 연구의 필요성이 제기되고 있다. 이러한 맥락에서 본 연구는 국가이미지와 기능적 속성 및 브랜드개성이 중국 소비자들의 한국제품 선택에 어떠한 영향을 미치는가를 성(性)별 비교분석을 통해 살펴보고 있다. 이를 위하여 중국 북경(北京), 상해(上海), 광주(廣州) 지역에 거주하는 성인 소비자들을 대상으로 한국산 핸드폰 제품에 관한 설문조사를 실시하였으며, 실증분석 결과 나타난 주요 연구결과를 요약하면 다음과 같다. 첫째, 여성 소비자들이 한국 핸드폰 선택시 남성 소비자들에 비해 국가이미지와 브랜드개성의 영향을 상대적으로 더 많이 받는 것으로 나타났다. 둘째, 남성과 여성 소비자 모두 한국 핸드폰 선택시 다른 두 요인에 비해 기능적 속성 요인의 영향을 더 많이 받는 것으로 나타났다. 본 연구에서는 이러한 연구결과를 토대로 한국기업들의 바람직한 대중국 마케팅 전략에 관한 주요 시사점을 제시하고 있다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1209-1211
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• 2003

The wavelet and semivariogram analysis method are used to identify the city landscape and farmland landscape pattern on the 1m resolution IKONOS images. The results prove that wavelet method is a potential way for landscape pattern analysis. Compared to semivariogram analysis, Wavelet analysis can not only detect the overall spatial pattern, but also find multi-scale and direction structures. In this experiment, the wavelet analysis results indicate: (1) the city landscape image is mainly composed of three level structures whose spatial pattern characters appear at 2m, 16m, 128m and 256m accordingly; (2) the farmland landscape is mainly two scale spatial patterns appearing at the 2m, 128m and 256m. IKONOS Remote sensing, with the high spatial and spectral information, is a powerful tool that can use in many ecological systems research and sustainable management.

• ETRI Journal
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• 제41권6호
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• pp.797-810
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• 2019

Image saliency detection is the basis of perceptual image processing, which is significant to subsequent image processing methods. Most saliency detection methods can detect only a single object with a high-contrast background, but they have no effect on the extraction of a salient object from images with complex low-contrast backgrounds. With the prior knowledge, this paper proposes a method for detecting salient objects by combining the boundary contrast map and the geodesics-like maps. This method can highlight the foreground uniformly and extract the salient objects efficiently in images with low-contrast backgrounds. The classical receiver operating characteristics (ROC) curve, which compares the salient map with the ground truth map, does not reflect the human perception. An ROC curve with distance (distance receiver operating characteristic, DROC) is proposed in this paper, which takes the ROC curve closer to the human subjective perception. Experiments on three benchmark datasets and three low-contrast image datasets, with four evaluation methods including DROC, show that on comparing the eight state-of-the-art approaches, the proposed approach performs well.

• 한국의류학회지
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• 제39권6호
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• pp.867-876
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• 2015

This research studies socio-cultural hegemony change focused on male society through contemporary ideal masculine images of Asian men (especially Korean and Chinese men). Participants were: South Korean men in and around Seoul and Chinese men in Beijing and Shanghai. The youngest survey participants in their 20's and the oldest in their 40's were asked about their present men's appearance images and masculinity as well as asked to evaluate satisfaction with their own style, and interest in fashion trends on a 5-point Likert scale. In this research, an ideal masculinity was tested by 6 characters (traditional masculinity, macho masculinity, androgynous masculinity, adolescent masculinity, trendy masculinity, and general masculinity) as male avatars. Asian men's consciousness of an ideal masculinity image has moved gradually from traditional masculinity to trendy masculinity, leading to new roles in a socio-cultural agenda. Korean and Chinese men are more interested in appearance and notice fashionable styles to be trendy that follow the latest fashion because most other Asian men reflect a traditional masculinity as an ideal appearance image.

• 패션비즈니스
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• 제19권2호
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• pp.53-68
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• 2015

The Beijing Opera is one of the leading representatives of Chinese culture, which includes literature, music, dance, martial arts, and a type of performance that stems from the Chinese cultural history that is still relevant today. The purpose of this study is to develop fashion-cultural products from the Lian Pu of the Beijing Opera, a Chinese cultural tradition that receives abundant positive feedback from around the world, showing its value in both academic and practical fields. This study was carried out first as a theoretical study of the literature, definition and types of facial make up used in the Opera, as a way of examining the formative aspect. Secondly, an analysis was conducted on the main characters, 'Guan Yu' and 'Zhang Fei' of "The Romance of the Three Kingdoms", 'Li Kiu' and 'Lu Zhishen' of "All Men are Brothers" and 'Monkey King' of "Journey to West", employing the collection belonging to 'Yongqi Zhao' who is an expert on the Chinese Beijing Opera. Thirdly, two concepts were categorized, based on the analytic results of the abovementioned characters, each of which were then further categorized into three sub concepts. In regard to cultural development designs, the results of an analysis on the facial make-up color, form, and texture of the four main characters were utilized to construct the themes, "Modern Chic" and "Traditional Splendor". The simplest form that has been represented in the four figures has been applied to "Modern Chic" to show a modern image in which black, white and light blue has been used alongside the vivid red, which is a Chinese favorite, to highlight the characters. In "Traditional Splendor", which is focused on the stage art of the Opera, we see more artistic traditions and colors, to further appeal to our emotions. Traditional motifs have been applied using traditional Chinese arts, in order to develop strong and brilliant colors. The two styles of cultural products were developed in the form of women's scarves and men's ties; a total of 24 designs were expressed, using Illustrator CS6. In the final step, 4 scarves and 6 ties were produced as a sample, using high quality silk. The development of these cultural fashion products will bring an opportunity to show how Chinese traditional culture can be widely utilized in commercial market design.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권1호
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• pp.288-307
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• 2016

Image distortions are typically characterized by degradations of structures. Dictionaries learned from natural images can capture the underlying structures in images, which are important for image quality assessment (IQA). This paper presents a general-purpose no-reference image quality metric using a GRadient-Induced Dictionary (GRID). A dictionary is first constructed based on gradients of natural images using K-means clustering. Then image features are extracted using the dictionary based on Euclidean-norm coding and max-pooling. A distortion classification model and several distortion-specific quality regression models are trained using the support vector machine (SVM) by combining image features with distortion types and subjective scores, respectively. To evaluate the quality of a test image, the distortion classification model is used to determine the probabilities that the image belongs to different kinds of distortions, while the regression models are used to predict the corresponding distortion-specific quality scores. Finally, an overall quality score is computed as the probability-weighted distortion-specific quality scores. The proposed metric can evaluate image quality accurately and efficiently using a small dictionary. The performance of the proposed method is verified on public image quality databases. Experimental results demonstrate that the proposed metric can generate quality scores highly consistent with human perception, and it outperforms the state-of-the-arts.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.676-692
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• 2018

Saliency detection in neurobiology is a vehement research during the last few years, several cognitive and interactive systems are designed to simulate saliency model (an attentional mechanism, which focuses on the worthiest part in the image). In this paper, a bottom up saliency detection model is proposed by taking into account the color and luminance frequency features of RGB, CIE $L^*a^*b^*$ color space of the image. We employ low-level features of image and apply band pass filter to estimate and highlight salient region. We compute the likelihood probability by applying Bayesian framework at pixels. Experiments on two publically available datasets (MSRA and SED2) show that our saliency model performs better as compared to the ten state of the art algorithms by achieving higher precision, better recall and F-Measure.