• KIISE Transactions on Computing Practices
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• v.20 no.12
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• pp.670-675
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• 2014

Graphical user interfaces (GUI) in modern software deliver information visually, and a well-designed interface can provide information to the use in an organized and intuitive manner while poorly-designed interfaces can cause visual inconvenience and confusion. In order to effectively deliver information to the user, visual attention should be placed on a prominent location in the image. This paper introduces a method based on a human visual system (HVS) that can improve Metro-style GUIs by reducing a user's workload to visually find information. Our method is designed with spatial mapping and color mapping for buttons in the Metro-style GUI. Also we define a metric for Metro-style GUI effectiveness, including an optimization algorithm. The results show that our method improves the performance of visual search tasks in a Metro-style GUI.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.2287-2312
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• 2018

Extracting key visual information from images containing natural scene is a challenging task and an important step for the visually impaired to recognize information based on tactile graphics. In this study, a novel method is proposed for extracting salient regions based on global contrast enhancement and saliency cuts in order to improve the process of recognizing images for the visually impaired. To accomplish this, an image enhancement technique is applied to natural scene images, and a saliency map is acquired to measure the color contrast of homogeneous regions against other areas of the image. The saliency maps also help automatic salient region extraction, referred to as saliency cuts, and assist in obtaining a binary mask of high quality. Finally, outer boundaries and inner edges are detected in images with natural scene to identify edges that are visually significant. Experimental results indicate that the method we propose in this paper extracts salient objects effectively and achieves remarkable performance compared to conventional methods. Our method offers benefits in extracting salient objects and generating simple but important edges from images containing natural scene and for providing information to the visually impaired.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.195-207
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• 2021

In recent years, with the rapid growth of China's animation industry, the two-dimensional culture and consumption have been immersed in the daily lives of young people. The two-dimensional culture that mainly exists on young people is gradually entering the public's field of vision, making the two-dimensional culture not It is only restricted to the fixed fan circle, but is known to more people outside the circle. At the same time, the "barrage" (screen text) cultures in video websites has become popular with some film and television works, Internet terms, etc., and has attracted the attention on mainstream culture. On the one hand, its cultural products have appeared on traditional mainstream video websites and advertisements on provincial satellite TV. And in the program, on the other hand, a small part of the screen text and cultural terms are also used by some celebrities and other ordinary people who don't understand the meaning of the terms at all, and have caused widespread dissemination. Sometimes the video website itself is also mentioned, which obviously shows a difference. The tendency towards a kind of screen texts subculture to penetrate the mainstream culture.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.83-90
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• 2023

Blurred image is an important factor in lowering image recognition rates in Computer vision. This mainly occurs when the camera is unstablely out of focus or the object in the scene moves quickly during the exposure time. Blurred images greatly degrade visual quality, weakening visibility, and this phenomenon occurs frequently despite the continuous development digital camera technology. In this paper, it replace the modified building module based on the Deep multi-patch neural network designed with convolution neural networks to capture details of input images and Attention techniques to focus on objects in blurred images in many ways and strengthen the image. It measures and assigns each weight at different scales to differentiate the blurring of change and restores from rough to fine levels of the image to adjust both global and local region sequentially. Through this method, it show excellent results that recover degraded image quality, extract efficient object detection and features, and complement color constancy.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.130-139
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• 2009

Most of the movies currently being created are used by CG. As for movie of today, the location of visual effect from film business rose highly with CG introductions to do not ask a style. The CG gets attention recently, and expand a market at rapid pace, the biggest reason are development of software and computer hardware. Advancement of computer technology and technique discharge numerous VFX artists therefore visual effect are possible to deliver with low-budget feature and commercial films more common. As for CG fields Hollywood in United States has most advancement of the computer techniques that create a lot of visual effect artists. However CG techniques of Korea also developed absurdly, because movie market of Korea is getting bigger. Korean CG technology get catching up at the CG techniques of Hollywood every year, however goal of this research in order to study is current address and future possibility of development of Korean CG. The CG example which from the movie was already screened that in the depth. Through movie of existing and knows a different partial authorization, tries to observe the possibility of development of future Korean CG fields.

• Journal of Information Processing Systems
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• v.13 no.5
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• pp.1168-1182
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• 2017

In the past decades, various image regularization methods have been introduced. Among them, total variation model has drawn much attention for the reason of its low computational complexity and well-understood mathematical behavior. However, regularization parameter estimation of total variation model is still an open problem. To deal with this problem, a novel adaptive regularization parameter selection scheme is proposed in this paper, by means of using the local spectral response, which has the capability of locally selecting the regularization parameters in a content-aware way and therefore adaptively adjusting the weights between the two terms of the total variation model. Experiment results on simulated and real noisy image show the good performance of our proposed method, in visual improvement and peak signal to noise ratio value.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.3121-3121
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• 2001

The factors involved in development of electronic grading systems for commodities such as grains and seeds include determination of the factors that influence the end-product utilization of the commodities, and the degree to which these can be predicted by electronic methods. The possibility of exchanging existing methods of grading by electronic methods has to be considered. The respective merits of techniques such as Digital Imaging and Near-infrared (NIR) spectroscopy have to be considered. Digital Imaging is a computerized version of visual inspection and grading, whereas NIR spectroscopy has the potential for grading on the basis of composition and functionality, Selection and evaluation of NIR instruments is an important factor, as are sampling and sample presentation to electronic instruments, and particularly the engineering involved in sample presentation. Sample assembly, and software for calibration development are described in the presentation. Finally the impact and implications of introduction of electronic grading are discussed with particular attention to marketing of the commodities.

• Research in Mathematical Education
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• v.26 no.2
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• pp.105-120
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• 2023

With the rapid advancement of educational technology, recent studies have connected teachers' professional noticing with the use of digital resources in mathematical instructions. In this study, I examined elementary mathematics preservice teachers' attending and interpreting a mathematical software, ST Math, in the exploring and implementing phases. The findings indicate that preservice teachers paid attention to visual representations and manipulation prior to interactions with children and further took into consideration on task structures and situated context after interactions. They interpreted the events based on connected mathematical knowledge of prior interactions and further reflected on the progression of problem-solving strategies and sequence of tasks. In addition, four distinctive profiles of transitioning of evaluation on ST Math activities were identified with illustrations. Implications for noticing and teacher education were discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.187-195
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• 2018

In this study, using real-time gaze tracking and head tracking method, we intended to quantitatively evaluate the deviation between the patient's head and gaze direction while minimizing inspection errors due to apraxia of conventional paper-based examination respectively. As a result, we developed a software that can quantitatively measure gaze and head movement information, and computerized the line bisection and star cancelation test, which are generally used as conventional paper test. In addition, for the rehabilitation training, contents corresponding to the visual technology of Warren's visual hierarchical model lower level are implemented and can be performed repetitively and independently. This allows the patient to actively participate in rehabilitation and quantitatively compare the degree of improvement.

• Journal of Korea Multimedia Society
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• v.18 no.12
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• pp.1586-1593
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• 2015

Calligraphy contents(shortly called, CalliContents) depict the feature of communication media with artistic sentences or drawings before being processed into digital contents to become printed advertisement, visual design and entertainment products. As a fast growing business model, they can be applied to every single scope of all fields these days and each application case presented excellent effects to grab consumers' attention immediately. In this paper, we designed and produced an emotional bi-directional recommendation DIY calligraphy contents platform to consume created cultural contents and boost personalized contents industry that meets consumer's needs through both wired and wireless-based software with convergence of artistic and emotional calligraphy contents and ICT. For this works, we established for DIY calligraphy consumers a foundation of a virtuous circle of the CalliContents where various CalliContents are provided in on and offline environment and a third party target is opened at the CalliContents platform