• Journal of Broadcast Engineering
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• v.14 no.5
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• pp.616-624
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• 2009

This paper presents a 3D stereoscopic TIP (Tour Into Picture) for Korean classical paintings being composed of persons, boat, and landscape. Unlike conventional TIP methods providing 2D image or video, our proposed TIP can provide users with 3D stereoscopic contents. Navigating a picture with stereoscopic viewing can deliver more realistic and immersive perception. The method firstly makes input data being composed of foreground mask, background image, and depth map. The second step is to navigate the picture and to obtain rendered images by orthographic or perspective projection. Then, two depth enhancement schemes such as depth template and Laws depth are utilized in order to reduce a cardboard effect and thus to enhance 3D perceived depth of the foreground objects. In experiments, the proposed method was tested on 'Danopungjun' and 'Muyigido' that are famous paintings made in Chosun Dynasty. The stereoscopic animation was proved to deliver new 3D perception compared with 2D video.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.13-17
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• 2007

스케일러블 비디오 코딩(SVC, Scalable Video Coding)은 MPEG(Moving Picture Expert Group)과 VCEG (Video Coding Expert Group)의 JVT(Joint VIdeo Team)에 의해 현재 표준화 되고 있는 새로운 압축 표준 기술이며 시간, 공간 및 화질의 스케일러빌리티를 지원하기 위해 계층 구조를 가지고 있다. 공간적 스케일러빌리티를 위해 기본 계층으로부터 텍스처, 움직임 그리고 잔차신호 정보를 예측하여 사용한다. 그러나 고효율의 압축효과를 얻기 위해 기존의 방식에서는 기본계층에서 얻은 세가지 정보이외에 현재 향상 계층에서 자체적으로 얻은 부호화 정보를 비교하여 최소의 RD(Rate Distortion) 비용을 가지는 정보를 이용하여 부호화 하도록 되어 있다. 하지만 이러한 방식은 향상 계층에서 인터 모드 결정 시 $16\times16,\;16\times8,\;8\times16,\;8\times8,\;4\times4,\;4\times8,\;4\times4$ 블록 모드에 대한 움직임 벡터 예측 및 보상 과정을 거쳐야 하기 때문에 향상 계층에서의 부호화 복잡도는 기본 계층에 비해 상당히 증가하게 된다. 본 논문에서는 기본계층에서 예측한 움직임 벡터 정보를 이용하여 항상 계층에서 모드 결정을 고속화하는 방법에 대해 소개한다. 제안된 방법은 기본 계층에서 예측한 블록모드 중에서 큰 블록인 $16\times16$ 블록에서 움직임 벡터가 (0, 0) 일 경우에 대하여 향상 계층에서는 $16\times16$매크로 블록에 대해서만 움직임 예측 및 보상을 수행함으로써 향상 계층에서 움직임 모드 결정을 조기에 완료하게 된다. 이것은 하위 공간 계층에서 예측한 움직임 벡터 정보가 아주 작을 때는 큰 블록 크기로 모드로 결정되는 일반적인 원리를 이용한 것이고 이 제안 방법을 이용하였을 경우 향상계층에의 모드 결정과정을 고속화함으로써 전체 스케일러빌 비디오 부호하기의 연산량 및 복잡도를 최대 70%까지 감소 시켰다. 그러나 연산량 감소에 따른 비트율의 증가와 화질 열화는 각각 최대 1.32%와 최대 0.11dB로 무시할 수 있을 정도로 작음을 확인 하였다.

• Journal of the Korea Computer Graphics Society
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• v.12 no.4
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• pp.7-15
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• 2006

The ultimate objective of painterly rendering is to express an inputted image as if it is hand drawn. The factors to express this painterly effect are thickness of the brush, direction, texture and the establishment of criteria judging if the produced brush will be drawn on to the canvas. In this paper, the algorithm using density of the edges in determining the criteria whether the brush will be drawn onto the canvas is proposed. Density of edges refers to the quantity of edge in the specific area. And uses the method of finding the location of the brush to be drawn as a unit of dynamic grid as well as expressing consistent directional through direction interpolation. Also, the texture is expressed using various textured brushes. Considering density of edges,We can express detailed area and abstract area. And it result in more human effect of oil painting.

• Journal of the Korea Computer Graphics Society
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• v.20 no.1
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• pp.13-19
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• 2014

In this paper, we introduce a real-time method to render a 3D scene using image-based lighting. Previous approaches for image-based lighting focused on diffuse reflection and mirror-like specular reflection. In this paper, we provide a simple preprocessing approach to efficiently approximate Phong reflection model, which has been used for computer graphics applications for several decades. For diffuse reflection, we generate a texture map for diffuse reflection by integrating the source image in preprocessing step, similarly to the previous approaches. We adopt the similar idea to produce a set of specular reflection maps for various material shininess. By doing this, we can render a dynamic scene without high computational complexity or numerous texture map access.

• Journal of Korea Multimedia Society
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• v.12 no.5
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• pp.737-744
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• 2009

This paper is to study and implement 3D Virtual Face Aesthetic Surgery System which provides more satisfaction by comparing the before-and-after plastic face surgery using 3D face model. For this study, we implemented 3D Face Model Generating System which resembles 2D image of the user based on 3D Korean standard face model and user's 2D pictures. The proposed 3D Virtual Face Aesthetic Surgery System in this paper consists of 3D Face Model Generating System, 3D Skin Texture Mapping System, and Detailed Adjustment System for reflecting the detailed description of face. The proposed system provides more satisfaction to the medical uses and stability in the surgery in compare with other existing systems.

• Journal of Advanced Navigation Technology
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• v.18 no.2
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• pp.151-157
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• 2014

Recently UAV(unmanned aerial vehicle) is frequently used not only for military purpose but also for civil purpose. UAV automatically navigates following the coordinates input in advance using GPS information. However it is impossible when GPS cannot be received because of jamming or external interference. In order to solve this problem, we propose a real-time segmentation and classification algorithm for the specific regions from UAV image in this paper. We use the super-pixels algorithm using graph-based image segmentation as a pre-processing stage for the feature extraction. We choose the most ideal model by analyzing various color models and mixture color models. Also, we use support vector machine for classification, which is one of the machine learning algorithms and can use small quantity of training data. 18 color and texture feature vectors are extracted from the UAV image, then 3 classes of regions; river, vinyl house, rice filed are classified in real-time through training and prediction processes.

• Journal of Broadcast Engineering
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• v.18 no.1
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• pp.77-87
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• 2013

In this paper, we present a novel method for local image descriptor called exact order based descriptor (EOD) which is robust to illumination changes and Gaussian noise. Exact orders of image patch is induced by changing discrete intensity value into k-dimensional continuous vector to resolve the ambiguity of ordering for same intensity pixel value. EOD is generated from overall distribution of exact orders in the patch. The proposed local descriptor is compared with several state-of-the-art descriptors over a number of images. Experimental results show that the proposed method outperforms many state-of-the-art descriptors in the presence of illumination changes, blur and viewpoint change. Also, the proposed method can be used for many computer vision applications such as face recognition, texture recognition and image analysis.

• Korean Journal of Food Science and Technology
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• v.48 no.4
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• pp.366-371
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• 2016

This study was carried out to evaluate the feasibility of using domestic wheat flour as ingredient of pizza dough by examining the physicochemical and sensory properties of the dough. Five pizza dough samples were prepared with different ratio of domestic and imported wheat flour. Significant differences were observed in crude protein content, crude ash content, and color of the pizza dough samples; however, no significant difference was found in mechanically measured rheology. A sensory evaluation based on 23 descriptive attributes indicated significant differences between pizza dough made from domestic wheat flour and that made from imported wheat flour for springiness and softness of the surface, roughness, and chewiness (p<0.05). Principal component analysis showed that the greater amount of Korean wheat flour in the dough resulted in different values from negative to positive ends of principal component 1 (37.4%).

• Korean Journal of Food Science and Technology
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• v.50 no.5
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• pp.504-510
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• 2018

Different processing methods, including steeping, boiling, roasting, and pressure roasting were used to deactivate anti-nutritional factors and remove off-flavor present in legumes. The physical and textural characteristic of cookie made with the treated flours were examined. The lightness of roasted cowpea flour was higher than that of the other treated legume flours, whereas that of pressure-roasted mungbean flour was the lowest. The boiled and pressure-roasted legume flours exhibited substantially lower pasting viscosity since the starches in these flours were considerably gelatinized during the heat treatment. Steeped mungbean flour had a significantly higher final viscosity than the other treated legume flours. Cookies containing mungbean flour had a higher protein content but lower lipid content than those containing cowpea flour. Cookies made with cowpea flour had a greater hardness than those made with mungbean flour. Cookies containing roasted flour had relatively better color properties than did those containing flours that were treated using other methods.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.169-172
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• 2011

최근 ISO/IEC의 MPEG과 ITU-T의 VCEG이 JCT-VC (Joint Collaborative Team for Video Coding)를 구성하여 HEVC (High Efficiency Video Coding) 차세대 비디오 압축 표준 제정을 위한 작업을 진행 중이다. 과거 압축률이 가장 좋은 것으로 알려진 H.264/AVC 보다 최대 50%까지 부호화 효율 향상을 목표로 하고 있다. HEVC는 H.264/AVC와는 상이한 부호화 구조를 채택하고 있고 작은 크기의 영상뿐만 아니라 크기가 큰 영상까지도 효율적으로 부호화할 수 있도록 설계되고 있다. 예측 및 변환 부호화 과정이 계층적 쿼드트리 구조를 가지며, 특히 변환 부호화는 작은 크기의 변환 블록으로부터 $32{\times}32$ 크기의 변환 블록까지 크게 확장되어 계층적 변환 구조를 이루며 부호화하도록 되어 있다. 본 논문에서는 기존 코덱과는 상이한 부호화 구조를 갖는 쿼드트리 부호화 기반 HEVC 코덱 표준을 위한 율-왜곡 (Rate-Distortion) 모델을 제안한다. 기존의 코덱에서는 부호화되는 기본 단위가 $16{\times}16$로 일정하고, 변환 및 양자화되는 블록의 크기 역시 $4{\times}4$또는 $8{\times}8$ 크기 단위로 그 블록의 크기가 작을 뿐만 아니라 고정된 크기를 사용한다. 따라서 단일 확률 모형을 사용하여 율-왜곡 모델을 만들었으며, 그 정확도 역시 비교적 정확한 결과를 얻었다. 그러나 HEVC에서는 계층적 가변 블록 크기를 갖는 기본 부호화, 예측 및 변환/양자화 기법을 사용하기 때문에 기존의 단일 모델로는 정확한 율-왜곡 모델을 만들어 내기 어렵다. 제안하는 방법은 HEVC의 기본 단위인 CU (Coding Unit)별로 독립적인 확률 모형을 사용하여 율-왜곡모델을 사용하는 것으로 CU의 크기가 가변적이고 CU 내의 텍스처 역시 크기에 따라 매우 다른 특성을 가지고 있기 때문에 단일 모델을 사용하는 것보다 매우 효율적인 것을 실험을 통하여 확인하였다.