• 유통과학연구
• /
• 제17권10호
• /
• pp.49-59
• /
• 2019

Purpose - This study aims to verify the effect of sports sponsorship recognition on corporate image and the relationship between image and identification, corporate image and purchasing intention, brand identification and purchasing intention Research design, data, and methodology - To carry out the purpose of this study, a set of data was collected from 320 surveys and 305 of them were used. Statistic programs, SPSS 18.0 and AMOS 20.0, were used to analyze the data. Results - It was found that emotional sports sponsorship recognition and social sponsorship sports sponsorship recognition had positive effects on corporate image and brand identification. Corporate image also had a positive effect on brand identification. Besides, it was analyzed that corporate image and brand identification had positive effects on purchasing intention. Conclusions - The results show that sports sponsorship recognition can influence brand identification and purchasing intention, and contribute to the enhancement of corporate image. Since brand personality that matches the self-image of the targeted customer will have a more positive effect on the relationship with the consumer, marketing activities should be carried out so that the brand image can be identified with the company image of sports sponsorship activities.

• 복식
• /
• 제66권1호
• /
• pp.90-107
• /
• 2016

The purpose of this study was to examine the fashion brand attitude of tweenagers, with a focus on brand awareness, image, identification and loyalty. The study analysed 541 fifth and sixth-grade students in Seoul elementary schools. Major statistical methods used for this study were Cronbach's alpha analysis, confirmatory factor analysis, and path analysis with SPSS 19.0 and AMOS 19.0. Brands selected for this study were "NIKE" and "BEANPOLE KIDS". The result of this study was as follows: First, the study showed that both "NIKE" and "BEANPOLE KIDS" had 4 significant routes from the research model. Brand awareness had influence on brand image; brand image had influence on brand identification and brand loyalty; and brand identification had influence on brand loyalty. Second, using the bootstrapping to verify the significance of the total effect and indirect effect, brand awareness had a significant indirect effect on brand identification and brand loyalty; brand awareness did not have any direct effect on brand identification and brand loyalty for both "NIKE" and "BEANPOLE KIDS". Also, the total effect of brand awareness on brand identification and brand loyalty was significant. The result of this study showed the development potential to the fashion companies targeting tweenagers.

• 한국멀티미디어학회논문지
• /
• 제11권6호
• /
• pp.764-776
• /
• 2008

Image identification is the process of checking whether the query image is the transformed version of the specific original image or not. In this paper, image identification method based on feature composition is proposed. Used features include color distance, texture information and average pixel intensity. We extract color characteristics using color distance and texture information by Modified Generalized Symmetry Transform as well as average intensity of each pixel as features. Individual feature is quantized adaptively to be used as bins of histogram. The histogram is normalized according to data type and it is used as the signature in comparing the query image with database images. In matching part, Manhattan distance is used for measuring distance between two signatures. To evaluate the performance of the proposed method, independent test and accuracy test are achieved. In independent test, 60,433 images are used to evaluate the ability of discrimination between different images. And 4,002 original images and its 29 transformed versions are used in accuracy test, which evaluate the ability that the proposed algorithm can find the original image correctly when some transforms was applied in original image. Experiment results show that the proposed identification method has good performance in accuracy test. And the proposed method is very useful in real environment because of its high accuracy and fast matching capacity.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권2호
• /
• pp.775-792
• /
• 2015

Person re-identification is an important and challenging task in computer vision with numerous real world applications. Despite significant progress has been made in the past few years, person re-identification remains an unsolved problem. This paper presents a novel appearance-based approach to person re-identification. The approach exploits region covariance matrix and color histograms to capture the statistical properties and chromatic information of each object. Robustness against low resolution, viewpoint changes and pose variations is achieved by a novel signature, that is, the combination of Log Covariance Matrix feature and HSV histogram (LCMH). In order to further improve re-identification performance, third-party image sets are utilized as a common reference to sufficiently represent any image set with the same type. Distinctive and reliable features for a given image set are extracted through decision boundary between the specific set and a third-party image set supervised by max-margin criteria. This method enables the usage of an existing dataset to represent new image data without time-consuming data collection and annotation. Comparisons with state-of-the-art methods carried out on benchmark datasets demonstrate promising performance of our method.

• 한국조리학회지
• /
• 제18권1호
• /
• pp.120-140
• /
• 2012

본 연구에서는 패밀리레스토랑의 브랜드개성과 고객의 자아이미지를 규명하고 브랜드개성과 자아이미지의 일치성이 브랜드동일시와 브랜드 충성도에 미치는 영향을 규명하였다. 연구 결과, 패밀리레스토랑의 브랜드개성과 고객의 자아이미지가 일치할수록, 브랜드동일시도 증가하는 것으로 나타났으며, 패밀리레스토랑의 브랜드동일시는 브랜드충성도에 긍정적인 영향을 미치는 것으로 조사되었다. 이는, 고객이 자신이 추구하는 자아상과 잘 부합되는 브랜드에 호의적이며, 이들 브랜드에 대해 지속적인 구매행동을 보이는데, 이는 동일시하는 브랜드와의 지속적인 관계 유지를 통해서 사회 속에 자신을 표현하고 자아를 유지하거나 강화시키고자 하기 때문인 것으로 판단된다.

• Journal of Advanced Marine Engineering and Technology
• /
• 제18권3호
• /
• pp.34-42
• /
• 1994

The present study is aimed to improve the PIV performance by suggesting a two-frame particle identification technique and by introducing estimation method of wall pressure distribution from the velocity data. Adopted image processing system consists of one commercial image board slit into a personal computer, 2-D sheet light generator, flow picture recording apparatus and related particle identification software. A revised particle tracking method essential to PIV performance is obtained by particle centroid correlation pairing (CCP) and its effectiveness is ascertained by comparison with multi-frame identification.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
• /
• pp.180-182
• /
• 2005

Fingerprint-based identification is known to be used for a very long time. Owing to their uniqueness and immutability, fingerprints are today the most widely used biometric features. Therefore, recognition using fingerprints is one of the safest methods as a way of personal identification. But fingerprint identification system has a critical weakness. Since the fingerprint identification time dramatically increase when we compare the unknown fingerprint's minutiae with fingerprint database's minutiae. In this paper, a ridge orientation extraction method using Index table is proposed to solve the problem. The goal of fast direction image extraction is to reduce the identification time and to improve the clarity of ridge and valley structures of input fingerprint image.

• 한국식품조리과학회지
• /
• 제27권1호
• /
• pp.33-42
• /
• 2011

The purposes of this study were to understand the influence of brand personality-self image congruence in quick service restaurants on customer satisfaction and to empirically analyze whether or not customers' brand identification plays a moderating role between brand personality-self image congruence and customer satisfaction. Based on a total of 478 samples obtained from empirical research from June 10 to June 16, 2010, self-administered questionnaires were completed by patrons in a metropolitan area, and data were analyzed based on frequency, exploratory factor analysis, reliability analysis, correlation analysis, and hierarchical regression analysis. Results of the study were as follows: From the factor analysis of brand personality and self-image, 5 factors, i.e. sophistication (5 items), competence (5 items), likability (5 items), trendiness (5 items), and ruggedness (5 items) were extracted. The results show that trendiness (${\beta}$=-0.151) among brand personality-self image congruence had a significant positive effect on customer satisfaction. Further, customers' brand identification (${\beta}$=0.645) had a significant positive effect on customer satisfaction. In addition, the effect of brand personality-self image congruence (only, likability ${\times}$ brand identification; ${\beta}$=0.245) in quick service restaurants on customer satisfaction was found to be partially moderated by customers' brand identification. In other words, the findings show that customers wanted to identify with a specific brand because it provides a means to continue transactions with the brand if it corresponds with their self-image or if the overall image of the brand is favorable. Limitations and future research directions are also discussed.

• 유통과학연구
• /
• 제16권4호
• /
• pp.75-82
• /
• 2018

Purpose - As the role of salespersons in retail stores has expanded from selling products to sharing brand experiences with customers, the importance of research on the effects of salesperson-brand relationships has grown. The purpose of this research is to investigate the influences of salespersons' brand identification on conceptual fluency and customers' service and brand evaluations. It was supposed that salespersons' brand identification is affected by brand knowledge, which is a core dimension of internal branding. Research design, data, and methodology - The author developed a structural model in which salespersons' brand knowledge influences brand identification, hence customers' perception of salesperson-brand image congruence. And it is hypothesized that salesperson-brand image congruence influences conceptual fluency which affects customers' satisfaction and brand evaluation. Data were collected from five department stores in Seoul. Results - First, salespersons' brand knowledge was found to have a significant effect on brand identification. The more a salesperson knows about the affiliated brand, the higher her level of brand identification. Second, salespersons' brand identification influenced salesperson-brand image congruence. Third, salesperson-brand image congruence had a significant effect on brand conceptual fluency. Customers who perceive salesperson-brand image congruent are more likely to process information easily. Finally, conceptual fluency was found to be a significant determinant of store loyalty and brand value evaluation. Conclusions - The results of this study verify importance of salesperson's brand identification on customers' service and brand evaluations. To enhance salespersons' brand identification, retailers should emphasize the importance of internal branding and communication, especially by sharing brand vision, values, and identity with employees at customer contact points. Also, as brand conceptual fluency is a significant determinant of customer responses, retailers need to deliver consistent messages through various components of store environments, including salespersons' attitudes, appearances, and manners, as well as physical store design. With a deeper understanding of the effects of salesperson-brand relationship and brand conceptual fluency, retailers will be able to create more effective brand strategies to enhance their performances. Future studies should consider data from various retail types, such as discount stores, to generalize the findings.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권7호
• /
• pp.3268-3283
• /
• 2018

With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.