• Journal of Fashion Business
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• v.21 no.6
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• pp.1-15
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• 2017

This study examines the various responses of Chinese consumers, depending on the nationality of the fashion advertising model featured in an advertisement; it explores the effects of a congruence between self-image and advertising image (CSIAI) on consumer attitudes. This study was conducted by collecting data online; 200 samples selecting a Korean model and 200 samples selecting a Chinese model with a fashion brand were analyzed. A structural equation model confirms the conceptual framework for the influence of CSIAI on consumer attitudes and purchase intentions. The results show that the perceived CSIAI of consumers positively influences their attitude toward the advertising and the brand, and further, that advertising and brand attitudes significantly affect the purchase intention of consumers. This positive relationship is moderated by the nationality of the model. These findings suggest that the nationality of the model can serve as an important retail mix for global marketers. Other results and management implications are also discussed.

• International Journal of Contents
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• v.11 no.2
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• pp.20-30
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• 2015

We propose a new method that specifies objective image quality factors by evaluating an image quality measurement model using random images. In other words, No-Reference variables are used to evaluate the quality of an original image without using any reference for comparison. 1000 portrait images were collected from a web gallery with votes constituting over 30 recommendation values. The bottom-up data collecting process was used to calculate the following image quality factors: total range, average, standard deviation, normalized distribution, z-score, preference percentage. A final grade is awarded out of 100 points, and this method ranks and grades the final estimated image quality preference in terms of total image quality factors. The results of the proposed image quality evaluation model consist of the specific dynamic range, skin tone R, G, B, L, A, B, and RSC contrast. We can present the total for the expected preference points as the average of the objective image qualities. Our proposed image quality evaluation model can measure the preferences for an actual image using a statistical analysis. The results indicate that this is a practical image quality measurement model that can extract a subject's preferred image quality.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.11a
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• pp.281-282
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• 2012

Construction performance and productivity improvement are key focus areas in construction industry for any nation. There have been frequent delays and cost overruns in construction projects and poor productivity is one of the major contributions. For this reasons, there have been many research studies performed on the improvement of construction productivity for several decades. However, measuring productivity on a construction job site is still not an easy work. Because collecting reliable data consistently from the job site requires a lot of personnel efforts causing extra time and cost. This paper provides a basic study on the application of image processing technology for measuring unit productivity. It presented the possibility of unit productivity measurement by image processing technology through case study.

• Korean Institute of Interior Design Journal
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• v.19 no.5
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• pp.105-112
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• 2010

The purpose of this study is to suggest the color scheme based on the color image types through the color analysis of workstation furniture which is on the market. This color scheme of the workstation furniture is expected to be give the comfort to office environment when planning office. For this study, It is selected the three furniture firms that have a brand of office furniture and their web site that is showed color sample of furniture. The following researches are drawn based upon the purpose. First, the color image types of interior space is classified and the color image words that are suitable for each types is extracted based on the results of existing literature. Second, the distribution of its hue and tone is analysed after collecting the each firm's color sample of desk top, panel and chair. Third, the color image appearing in each furniture color is analysed by color image scale positioning. Forth, the color scheme of desk top, panel and chair is suggested by its color scheme palette. The result of this study is expected to help comfortable environment by providing the color scheme for selection of furniture color in work space. Not all color of each furniture is sufficient to be combined color scheme, the result is indicated that the color scheme of workstation by color image types is possible for color planning in office environment.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.727-731
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• 2009

In this paper, we propose a method to generate a free viewpoint image using multi-viewpoint images which are taken by cameras arranged circularly. In past times, we have proposed the method to generate a free viewpoint image based on Ray-Space method. However, with that method, we can not generate a walk-through view seen from a virtual viewpoint among objects. The method we propose in this paper realizes the generation of such view. Our method gets information of the positions of objects using shape from silhouette method at first, and selects appropriate cameras which acquired rays needed for generating a virtual image. A free viewpoint image can be generated by collecting rays which pass over the focal point of a virtual camera. However, when the requested ray is not available, it is necessary to interpolate it from neighboring rays. Therefore, we estimate the depth of the objects from a virtual camera and interpolate ray information to generate the image. In the experiments with the virtual sequences which were captured at every 6 degrees, we set the virtual camera at user's choice and generated the image from that viewpoint successfully.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.1 s.35
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• pp.37-47
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• 2006

In the last years a low-altitude image acquisition technology has been developed in application of frequent change monitoring in urban area md speedy surveillance in disaster area. A low-altitude photogrammetric system have advantages of accurate observation and free data-acquisition time. Especially, an unmaned RC-helicopter, improving safety, durability and portability, comes into the spotlight as a built-in vehicle in close range photogrammetric application due to their capability of safe near-by observation and effective flight performance. This paper gives a methodology for generating image map by development of low cost and timesaving low-altitude photogrammetric UAV(unmaned aerial vehicles) for collecting high-resolution image data, and implement of geo-rectification and image mosaicking.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.9-23
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• 2019

In this paper, we propose a layer structure of a pest image classifier model using CNN (Convolutional Neural Network) and background removal image processing algorithm for improving classification accuracy in order to build a smart monitoring system for pine wilt pest control. In this study, we have constructed and trained a CNN classifier model by collecting image data of pine wilt pest mediators, and experimented to verify the classification accuracy of the model and the effect of the proposed classification algorithm. Experimental results showed that the proposed method successfully detected and preprocessed the region of the object accurately for all the test images, resulting in showing classification accuracy of about 98.91%. This study shows that the layer structure of the proposed CNN classifier model classified the targeted pest image effectively in various environments. In the field test using the Smart Trap for capturing the pine wilt pest mediators, the proposed classification algorithm is effective in the real environment, showing a classification accuracy of 88.25%, which is improved by about 8.12% according to whether the image cropping preprocessing is performed. Ultimately, we will proceed with procedures to apply the techniques and verify the functionality to field tests on various sites.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.5
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• pp.313-322
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• 2020

A large volume of data will improve the robustness of deep learning models and avoid overfitting problems. In automatic tongue segmentation, the availability of annotated tongue images is often limited because of the difficulty of collecting and labeling the tongue image datasets in reality. Data augmentation can expand the training dataset and increase the diversity of training data by using label-preserving transformations without collecting new data. In this paper, augmented tongue image datasets were developed using seven augmentation techniques such as image cropping, rotation, flipping, color transformations. Performance of the data augmentation techniques were studied using state-of-the-art transfer learning models, for instance, InceptionV3, EfficientNet, ResNet, DenseNet and etc. Our results show that geometric transformations can lead to more performance gains than color transformations and the segmentation accuracy can be increased by 5% to 20% compared with no augmentation. Furthermore, a random linear combination of geometric and color transformations augmentation dataset gives the superior segmentation performance than all other datasets and results in a better accuracy of 94.98% with InceptionV3 models.

• Korean Institute of Interior Design Journal
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• v.26 no.4
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• pp.93-102
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• 2017

The study of space through image evaluation has reached the stage of measuring the emotion with the development of IT technology and the advent of VR AR era. Many researches have been trying to evaluate the space and measure the emotion in objective form by providing various forms of spatial images such as photographs, sketches, and CG. In order for these studies to be used as objective data with logical relevance, it is necessary to describe in detail the method of collecting the data used in the experiment, the characteristics of the test procedure, and the method of analysis. This study is a basic study for constructing a database by systematically organizing the attributes, experimental methods and experimental procedures of subjects. From the viewpoint of securing the objectivity and reproducibility of the paper, we analyzed the spatial image evaluation process focusing on 1) evaluation subject, 2) experimental method, and 3) analysis standard. It is necessary to examine whether the object of evaluation and the form of image and the method of providing it meet the purpose of the study. In addition, the size and order of the image, the viewing time and the interval (break time) should be different according to the gender and group experiment and the individual test method.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.6-13
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• 2009

The purpose of this study is to analyze the sensibility of the compound fashion image of contemporary fashion. The specific objectives were to analyze 1)the structure of meaning about fashion sensibility on 2)the difference of fashion sensibility by categories on 3)the difference of fashion sensibility by demographical aspects on 4)the consumer sensibility on the compound fashion image. For collecting data 55 stimulus and questionnaire which consisted of bi-polar 21 pairs adjective scale were contributed 675. The results were summarized as following : 1. Factors of fashion sensibility consist of estheticism, activeness, personality and feminity. And the meaning of fashion sensibility is young and personalty. 2. The man/woman and the past/present are highly estimated personality, the main/subcultural is activeness and the local/global is feminity of fashion sensibilities. 3. gender and age have high difference of the compound fashion image so they are important variance for fashion sensibilities. 4. Preference, purchase and quality are highly influenced by estheticism, pleasure is influenced by personality. The results of this study will be utilized in the clothing design for accepting customers' specific fashion sensibility about compound fashion image.