• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.01a
• /
• pp.93-96
• /
• 2022

본 논문에서는 카메라 센서만을 이용하여 손바닥 사진을 촬영하고 추출된 데이터들을 합성하여 멀티 채널 이미지를 생성 및 분류 모델에 입력하여 신원을 확인하는 딥러닝 모델을 제안한다. 이 모델은 손바닥 사진이 입력되면 손바닥 및 손금 세그멘테이션을 이용하여 마스크 이미지를 추출하고 단일 채널로 구성된 이미지들을 멀티 채널 이미지로 합성/재구성하여 신원을 분류하는 딥러닝 모델이다. 이는 카메라 센서 외 다른 센서가 필요 없다는 장점을 가지고 있으며, 비접촉 신원 인식 시스템에 적용할 수 있다.

• Journal of Korean Home Economics Education Association
• /
• v.28 no.1
• /
• pp.87-104
• /
• 2016

The purpose of this study is to suggest a pedagogic direction of home economics education that can form body image which organize self-concept of adolescents positively. To achieve this purpose, the study suggested a body image formation model of adolescents that can be applied to home economics education, and based on this formation model, analyzed contents on body image of current 12 textbooks of home economics education. The main results of this study are summarized as follows: First, to analyze textbook through body image formation model of adolescents, educational contents about body image were categorized into 4 constructs with 8 sub-categories. Second, we found the current textbooks about the child and family life field, food and dietary life field, and clothing life, are handling topics regarding body image formation model of adolescents, such as concepts and components of body image and antecedents and outcomes of body image. We conclude that although the current textbooks handles contents on body image of adolescents, those contents are sporadically presented across the three fields without an integrated perspective. Home Economics, as an entity of educating adolescents' self-esteem through daily life activities, needs to have a topic-oriented approach in developing a curriculum.

• Korean Journal of Child Education & Care
• /
• v.18 no.2
• /
• pp.147-165
• /
• 2018

The purpose of this study was to investigate how to develop of pre-service childcare teachers' perception about the image of childcare center teachers and self-image. In this study, participants' self-analysis method and in-depth interview were adopted to analyze the aspects of pre-service teachers' teacher image. Also, the narrative of pre-service teachers' a famous painting analysis were reported. The results of this study were divided into nine categories. Findings indicated that participants' self-image analysis work made pre-service teachers more enabled them to expend the significance of teacher's image of role in relation to their career decision and future their teacher's job. Moreover, through the experience of self-analysis work the pre-service teachers recognize their own ability to build up unique and healthy image. To foster the ability of pre-service teachers' self- image, special class teaching methods for pre-service teachers should be developed focusing on evoking them to have more positive self-image. This study suggested that self-image analysis work experiences should be emphasized in university class for pre-service teachers.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.38 no.3
• /
• pp.1-14
• /
• 2010

Areas with negative images in cities can degrade the image of the city as a whole and slow the city's efforts to improve its image. The identification of such areas and the development of a city contour that charts the images of various areas in advance can help urban planners establish relevant strategies to ameliorate detrimental images of the city. This study intends to draw a contour of Seongnam City according to citizen's cognition levels of and preference for city area images and aim to shift the strategy of urban image planning from being results-oriented to being process-oriented. The results of this study are as follows: First, an analysis of the level of cognition of and preferences for Seongnam City's landmarks shows that the degree of cognition varies in different areas, whereas that of preferences remains similar; Second, the cognition and preference contour makes it easy to assess and diagnose city images; Third, the image management map, which merges the cognition contour with the preference contour, divides the city into four different areas. In order to manage city images, it follows that those areas with a high degree of cognition but low preference need to be classified and dealt with first. Further, this study shows that those areas with high cognition are the most populated and visited. Areas with high preference can become a strong candidate for being a landscape control point of a city, which adds to the usefulness of this study. The contour of Seongnam will contribute to networking sightseeing areas for visitors centered upon those places of high preference. It would appear that this type of networking will inspire a better image for the city.

• International Area Studies Review
• /
• v.12 no.2
• /
• pp.251-274
• /
• 2008

This article investigated competitiveness evaluation of Korean product in German market that it is the most difficult to entry among EU countries in order to gain the upper hand against other MNCs. Specially, this empirical study analyzed product evaluation by using country image, corporate image and purchase experience. As the empirical results, Korean economy image and general image are significant. This means that German consumers have good image for economic, social and cultural image, so these factors influence product evaluation through halo effect. Also, we analyzed the effect of brand purchase experience and knowledge for Korea on product evaluation of German consumer. The results that country competitiveness and image play a role into product evaluation provide implication that we should make not only country image but also developed political, cultural image.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.10
• /
• pp.431-438
• /
• 2015

In this paper we address the symmetric-invariant problem in boundary image matching. Supporting symmetric transformation is an important factor in boundary image matching to get more intuitive and more accurate matching results. However, the previous boundary image matching handled rotation transformation only without considering symmetric transformation. In this paper, we propose symmetric-invariant boundary image matching which supports the symmetric transformation as well as the rotation transformation. For this, we define the concept of image symmetry and formally prove that rotation-invariant matching of using a symmetric image always returns the same result for every symmetric angle. For efficient symmetric transformation, we also present how to efficiently extract the symmetric time-series from an image boundary. Finally, we formally prove that our symmetric-invariant matching produces the same result for two approaches: one is using the time-series extracted from the symmetric image; another is using the time-series directly obtained from the original image time-series by symmetric transformation. Experimental results show that the proposed symmetric-invariant boundary image matching obtains more accurate and intuitive results than the previous rotation-invariant boundary image matching. These results mean that our symmetric-invariant solution is an excellent approach that solves the image symmetry problem in time-series domain.

• Journal of KIISE:Databases
• /
• v.32 no.4
• /
• pp.383-393
• /
• 2005

Retrieval of images from image databases by spatial relationship can be effectively performed through visual interface systems. In these systems, the representation of image with 2D strings, which are derived from symbolic projections, provides an efficient and natural way to construct image index and is also an ideal representation for the visual query. With this approach, retrieval is reduced to matching two symbolic strings. However, using 2D-string representations, spatial relationships between the objects in the image might not be exactly specified. Ambiguities arise for the retrieval of images of 3D scenes. In order to remove ambiguous description of object spatial relationships, in this paper, images are referred by considering spatial relationships using the spatial location algebra for the 3D image scene. Also, we remove the repetitive spatial relationships using the several reduction rules. A reduction mechanism using these rules can be used in query processing systems that retrieve images by content. This could give better precision and flexibility in image retrieval.

• The Journal of the Korea Contents Association
• /
• v.9 no.12
• /
• pp.637-646
• /
• 2009

This study aims at granting maximum high values to local brand images as megatrend in global markets by monitoring local differentiations which local images in each area are classified in abstraction on the side of cognitive aspects of consumers and finally achieving the redefinition of domestic markets with differentiation strategies for revitalizing cultural communication tools in terms of the creation of future local marketing strategies. This study newly classifies the cognitive aspects of domestic consumers into 4 distinguished patterns for creating an image of each local area and analyzes image creation factors for each local image in 5 aspects affecting the image creation of local brands.

• Journal of Korea Multimedia Society
• /
• v.7 no.9
• /
• pp.1219-1232
• /
• 2004

Recently, the web sites, such as e-business sites and shopping mall sites, deal with lots of catalog image information and contents. As a result, it is required to support semantic-based image retrieval efficiently on such image data. This paper presents a semantic-based image retrieval system, which adopts XML and Fuzzy technology. To support semantic-based retrieval on product catalog images containing multiple objects, we use a multi-level metadata structure which represents the product information and semantics of image data. To enable semantic-based retrieval on such image data, we design a XML database for storing the proposed metadata and study how to apply fuzzy data. This paper proposes a system, generate the fuzzy data automatically to use the image metadata, that can support semantic-based image retrieval by utilizing the generating fuzzy data. Therefore, it will contribute in improving the retrieval correctness and the user's satisfaction on semantic-based e-catalog image retrieval.

• The Journal of the Korea Contents Association
• /
• v.17 no.7
• /
• pp.443-454
• /
• 2017

A positive destination image has an impact on the tourist arrivals and economic growth of the tourist destination. Recently, the content generated by sharing tourist experiences and destination information on the internet has been increasing. The online content has the potential to become a major tourist decision source and provide more in-depth materials and richer content to extract destination image, insight and tourist's perceptions of the destination. This study was designed to explore the destination image of Daegu online and draw lessons for successful image management in an era of big data. Text mining approach and social network analysis were conducted to extract destination image determining elements and assess the influence of the elements. The result showed that destination image elements related to tourist infra-structures and culture, history and art affected the overall destination image of Daegu. Destination marketers should make an effort to grasp these precise destination image and seek ways to boost competitiveness as a tourist destination.