• Journal of Korea Game Society
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• v.15 no.6
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• pp.121-130
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• 2015

In this paper, we propose a method to automatically create the contents for spot-the-difference games. A spot-the-difference game is the game that finds the differences such as removal of some objects in the image or changes of shapes and colors from the original image. The original purpose of the exemplar-based image inpainting technique is to remove unnecessary objects. We use the exemplar-based inpainting technique to make the spot-the-difference game contents. From our implementation and experiments, we showed the effectiveness of our automatic generation technique of spot-the-difference contents.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.441-442
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• 2018

인터넷의 급속한 발달에 따라 다양한 앱(App)들이 기능적인 디자인으로 변모하고 있다. 그러나 아직 미적인 감성을 기반으로 한 간결성과 단순성에 대한 사용자 입장에서는 많은 불편함이 많은 실정이다. 그래서 이를 극복하기 위하여 앱을 설계할 때 사용자의 만족도도 높이면서 앱의 간결성에 영향을 미치는 요인에 대한 요소를 분석하고자 한다.

• Journal of KIISE:Databases
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• v.30 no.2
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• pp.145-156
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• 2003

Most of the content-based image retrieval systems focuses on similarity-based retrieval of natural picture images by utilizing color. shape, and texture features. For the neuroscience image databases, we found that retrieving similar images based on global average features is meaningless to pathological researchers. To realize the practical content-based retrieval on images in neuroscience databases, it is essential to represent internal contents or semantics of images in detail. In this paper, we present how to represent image contents and their related concepts to support more useful retrieval on such images. We also describe the operational semantics to support these advanced retrievals by using object-oriented message path expressions. Our schemes are flexible and extensible, enabling users to incrementally add more semantics on image contents for more enhanced content searching.

• Journal of Korea Multimedia Society
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• v.24 no.12
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• pp.1624-1631
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• 2021

With the continued development of image processing technology, we live in a time when it is difficult to visually discriminate processed (or tampered) images from real images. However, as the risk of fake images being misused for crime increases, the importance of image forensic science for identifying fake images is emerging. Currently, various deep learning-based identifiers have been studied, but there are still many problems to be used in real situations. Due to the inherent characteristics of deep learning that strongly relies on given training data, it is very vulnerable to evaluating data that has never been viewed. Therefore, we try to find a way to improve generalization ability of deep learning-based fake image identifiers. First, images with various contents were added to the training dataset to resolve the over-fitting problem that the identifier can only classify real and fake images with specific contents but fails for those with other contents. Next, color spaces other than RGB were exploited. That is, fake image identification was attempted on color spaces not considered when creating fake images, such as HSV and YCbCr. Finally, dropout, which is commonly used for generalization of neural networks, was used. Through experimental results, it has been confirmed that the color space conversion to HSV is the best solution and its combination with the approach of increasing the training dataset significantly can greatly improve the accuracy and generalization ability of deep learning-based identifiers in identifying fake images that have never been seen before.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.181-184
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• 2003

In the past, the image processing system is independently implemented and has a limit in its application to a degree of simple display. The scope of present image processing system is diversely extended in its application owing to the development of image processing It chips. In this paper, we implement the image processing system operated independently without PC by converting analogue image signals into digital signals. In the proposed image processing system, we extract the motion parameters from analogue image signals and generate the virtual movement to Simulator. Also we analysis the image control algorithm and operate Simulator by extracting motion parameters.

• International Journal of Contents
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• v.14 no.3
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• pp.1-6
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• 2018

For 3D display applications, auto-stereoscopic display methods that can provide 3D images without glasses have been actively developed. This paper is concerned with developing a display system for elemental images of real space using integral imaging. Unlike the conventional method, which reduces a color image to the level as much as a generated depth image does, we have minimized original color image data loss by generating an enlarged depth image with interpolation methods. Our method was efficiently implemented by applying a GPU parallel processing technique with OpenCL to rapidly generate a large amount of elemental image data. We also obtained experimental results for displaying higher quality integral imaging rather than one generated by previous methods.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.444-451
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• 2010

The purpose of this study is about becomes the foundation which establishes the area image integrated strategy the area image and the major factor of the Cho-jeong. For a study result area image integration the considered seriously was self-combustion and creativity, according to demographics quality the possibility of knowing the fact that partially is difference of recognition. This will lead and for an area image integration from and will be natural to use the delegation of a district resources, the image integrated strategy which is discriminated must be established and the possibility.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.436-439
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• 2004

Most of past image processing systems have been designed independent of image contents. Now, evolving computation power is making the "image-dependent" elegant algorithms possible to get the better image renditions on display. This paper introduces our recent approaches to quality and pleasant imaging based on image-dependent. Three typical approaches to comfortable "Sharpness", "Lightness", and "Color" renditions on display image arc presented.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.391-397
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• 2019

Ink painting is an important art creation method in oriental culture. Although ink painting lacks of sense of reality compared to western painting, it contains its unique drawing skills, which is of great significance to the inheritance and development of Oriental culture. Animation or game utilizing by ink painting technique are derivative contents from ink painting. This paper will through research the brief history of 3D ink contents works and traditional drawing skills to research existing ink works' art characters and the general production method. Also describe the extensibility of 3D ink animation contents. There has extremely high research value of new convergence contents as mobile game, VR / AR etc. And according to those research ink style image contents can be assumed get further development in the future.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.267-273
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• 2010

This study is about to reveal the connections and the importance of China's country image, product image, and purchase intention. Following are the results of the empirical analysis summary. First, in country's national image, except political image, economic image and cultural image have a positive (+) impact on the product image is true. Secondly, a country's product image have a positive (+) impact on purchase intention. Therefore, consumer tend to improve purchase intention when China's product image increase. In summary, consumers' purchase intention can obtain the best positive result, when a country's national image is set as the core factor, which combines and improves concurrently with one's product image.