• Journal of Information Processing Systems
• /
• v.13 no.5
• /
• pp.1126-1134
• /
• 2017

A variety of medical service applications in the field of the Internet of Things (IoT) are being studied. Segmentation is important to identify meaningful regions in images and is also required in 3D images. Previous methods have been based on gray value and shape. The Visible Korean dataset consists of serially sectioned high-resolution color images. Unlike computed tomography or magnetic resonance images, automatic segmentation of color images is difficult because detecting an object's boundaries in colored images is very difficult compared to grayscale images. Therefore, skilled anatomists usually segment color images manually or semi-automatically. We present an out-of-core 3D segmentation method for large-scale image datasets. Our method can segment significant regions in the coronal and sagittal planes, as well as the axial plane, to produce a 3D image. Our system verifies the result interactively with a multi-planar reconstruction view and a 3D view. Our system can be used to train unskilled anatomists and medical students. It is also possible for a skilled anatomist to segment an image remotely since it is difficult to transfer such large amounts of data.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.5
• /
• pp.1-9
• /
• 2020

In this paper, we propose a model that performs more natural facial attribute editing by utilizing mask information in the hair and hat region. STGAN, one of state-of-the-art research of facial attribute editing, has shown results of naturally editing multiple facial attributes. However, editing hair-related attributes can produce unnatural results. The key idea of the proposed method is to additionally utilize information on the face regions that was lacking in the existing model. To do this, we apply three ideas. First, hair information is supplemented by adding hair ratio attributes through masks. Second, unnecessary changes in the image are suppressed by adding cycle consistency loss. Third, a hat segmentation network is added to prevent hat region distortion. Through qualitative evaluation, the effectiveness of the proposed method is evaluated and analyzed. The method proposed in the experimental results generated hair and face regions more naturally and successfully prevented the distortion of the hat region.

• Fashion & Textile Research Journal
• /
• v.18 no.3
• /
• pp.261-271
• /
• 2016

The aim of this study was to gain an understanding of the element playfulness in fashion photographs related to openness and multiple significance in contemporary art. A total of 105 fashion photographs from US and UK Vogue magazine editorials and advertisements for the last five years were selected for the study. The photographs were analyzed in two main categories - the contextual element of themes, and the elements of visual expression; composition, models, objects and editing technology. The element of playfulness in the photographs were found to be divided into themes of infantile fantasy, social satire and situational dissonance, and elements of visual expression were found to express image distortion, expansion, exaggeration, reduction, and optical illusions. A photography type termed as infantile fantasy and social satire have descriptive characteristics and usually deliver the message by using models and objects to present a certain situation or express social satirical viewpoint and reflective attitude by using objects and photographic skills. A photography type termed as situational dissonance is characterized by immediately understood expressions and usually clarify the message by using a photographic technology such as editing the printed image or expect the model to express an exaggerated poses and ridiculous expressions, causing an optical illusion. Visually expressed and composed scene using composition, models, objects and editing technology is a specific character of photograph and due to the advances in computer editing technology it has been able to express the various playfulness.

• Journal of Broadcast Engineering
• /
• v.27 no.5
• /
• pp.619-628
• /
• 2022

Although face recognition and face generation have been growing in popularity, the privacy issues of using facial images in the wild have been a concurrent topic. In this paper, we propose a face editing network that can reduce privacy issues by generating face images with various properties from a small number of real face images and facial mask information. Unlike the existing methods of learning face attributes using a lot of real face images, the proposed method generates new facial images using a facial segmentation mask and texture images from five parts as styles. The images are then trained with our network to learn the styles and locations of each reference image. Once the proposed framework is trained, we can generate various face images using only a small number of real face images and segmentation information. In our extensive experiments, we show that the proposed method can not only generate new faces, but also localize facial attribute editing, despite using very few real face images.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2019.05a
• /
• pp.558-560
• /
• 2019

Recently, there are steadily required more highly broadcasting service based on the broadcasting extension and improved quality. This paper proposed the method of the implemented above mentioned. The proposed high speed data link techniques method is more improved processing speed and more efficiently editing advantage compare with earlier methods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2002.11a
• /
• pp.363-367
• /
• 2002

Represent of mathematical formula used within system handling document that is nonstructural in existent document editing system that is used in electron document processing that use computer is represented or processed by method that is nonstructural of image or text or etc. Such mathematical formular causes relative inconvenience to readablility and reusability of document and processing and exchange of document. Therefore, document editing system is required that can overcome such nonadvantage and apply MathML mathematical formula structure on efficiently structural document. Therefore, designed and implemented that document editing system for structural document creation of XML base that can mathematical formular editing of MathML base in this paper.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.15 no.10
• /
• pp.3685-3707
• /
• 2021

In recent years, facial attribute editing has been successfully used to effectively change face images of various attributes based on generative adversarial networks and encoder-decoder models. However, existing models have a limitation in that they may change an unintended part in the process of changing an attribute or may generate an unnatural result. In this paper, we propose a model that improves the learning of the attention mask by adding a spatial attention mechanism based on the unified selective transfer network (referred to as STGAN) using semi-supervised learning. The proposed model can edit multiple attributes while preserving details independent of the attributes being edited. This study makes two main contributions to the literature. First, we propose an encoder-decoder model structure that learns and edits multiple facial attributes and suppresses distortion using an attention mask. Second, we define guide masks and propose a method and an objective function that use the guide masks for multiple facial attribute editing through semi-supervised learning. Through qualitative and quantitative evaluations of the experimental results, the proposed method was proven to yield improved results that preserve the image details by suppressing unintended changes than existing methods.

• Journal of Digital Contents Society
• /
• v.10 no.3
• /
• pp.461-468
• /
• 2009

In a recent year, the broadcasting system has been changed from analogue to digital all over the world, not just in Korea, and Korea aims at accomplishing 100% digital broadcasting by 2013. The HD(High Definition) Video Format, which currently plays a key role in digital broadcasting system, has been gradually extended in the field of broadcasting and movie. Additionally, many kinds of camcoders and editing systems have been rapidly converted into the digital types, and they are supporting to photograph and video editing systems with the various types of image formats such as SD(Standard Definition) format, HD format, 2K, 4K, etc. Tape Video Storage System, which has been usually used in the stage of photographing by this day, is gradually evolving into Tapeless Video Data Storage System. Thus in this study, Video Compression method of HD format photographed by Sony PMW-EX3, one of major tapeless camcoders, is studied and also the way of applying it effectively in Avid Media Composer, a non-linear editing system, is discussed.

• Archives of design research
• /
• v.12 no.1
• /
• pp.51-60
• /
• 1999

Since the appearance of moving images, the expansion of mass media such as 1V or VCR has made the pace and range of spreading information to people faster and widely popular. Recendy, the development of digital image technique has resulted in solving the problem -great defect- of the display quality of analogue system; special effects by means of computer graphics have risen to a higher quality level; showed the new direction of digital image; and popular wi1h people all c:Ner the world. This paper reestablishes the notion of image up to now, and analyses the technical differences between analogue system and digital system on the basis of the SpecifIC property and skill of digital image editing; it also studies the special effects which can be applied to the image editing software. Moreover, in researdting 1V advertising, the special effects by digital system in use in 1his country today complies with the statistics in their own field. The special effects in 1V advertising is performed at a higher standard by a professional production. Accordingly, with the help of technology of digital moving image, the special effects are expected to continue developing into a level of high quality

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.5
• /
• pp.37-46
• /
• 2020

Recently, studies of facial attribute editing have obtained realistic results using generative adversarial net (GAN) and encoder-decoder structure. Spatial attention GAN (SaGAN), one of the latest researches, is the method that can change only desired attribute in a face image by spatial attention mechanism. However, sometimes unnatural results are obtained due to insufficient information on face areas. In this paper, we propose an improved SaGAN (MSaGAN) using a guide mask for learning and applying multitask learning approach to improve the limitations of the existing methods. Through extensive experiments, we evaluated the results of the facial attribute editing in therms of the mask loss function and the neural network structure. It has been shown that the proposed method can efficiently produce more natural results compared to the previous methods.