• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.9C
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• pp.939-948
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• 2005

In EBCOT, the context extraction process takes excessive calculation time and this paper proposed a method to reduce this calculation time. That is, if a coefficient is less than a pre-defined threshold value the coefficient and its descendents skip the context extraction process. There is a trade-off relationship between the calculation time and the image quality or the amount of output data such that as this threshold value increases, the calculation time and the amount of output data decreases, but the image degradation increases. Therefore, by deciding this threshold value according to the network environments or conditions, it is possible to establish a network-adaptive context extraction method. The experimental results showed that the range of the threshold values for acceptable image quality(better than 30dB) is from 0 to 4. The experimental results showed that in this range the Resulting reduction rate in calculation time was from $3\%\;to\;64\%$ in average, the reduction rate in output data was from $32\%$ to $73\%$ in average, which means that large reduction in calculation time and output data can be obtained with a cost of an acceptable image quality degradation. Therefore, the proposed method is expected to be used efficiently in the application area such as the real-time image/video data communication in wireless environments, etc.

• The Journal of Information Technology and Database
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• v.6 no.1
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• pp.89-101
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• 1999

Increasing number of companies recognize that the understanding of customers and their markets is indispensable for their survival and business success. The companies are rapidly increasing the amount of investments to develop customer databases which is the basis for the database marketing activities. Database marketing is closely related to data mining. Data mining is the non-trivial extraction of implicit, previously unknown and potentially useful knowledge or patterns from large data. Data mining applied to database marketing can make a great contribution to reinforce the company's competitiveness and sustainable competitive advantages. This paper develops the classification model to select the most responsible customers from the customer databases for telemarketing system and evaluates the performance of the developed model using LIFT measure. The model employs the decision tree algorithm, i.e., CHAID which is one of the well-known data mining techniques. This paper also represents the effective database marketing strategy by applying the data mining technique to a credit card company's telemarketing system.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.83-86
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• 2005

This paper presents a method for point-based 3D building reconstruction using LiDAR data and digital map. The proposed method consists of three processes: extraction of building roof points, identification of roof types, and 3D building reconstruction. After extracting points inside the polygon of building, the ground surface, wall and tree points among the extracted points are removed through the filtering process. The filtered points are then fitted into the flat plane using ODR(Orthogonal Distance Regression). If the fitting error is within the predefined threshold, the surface is classified as a flat roof. Otherwise, the surface is fitted and classified into a gable or arch roof through RMSE analysis. Based on the roof types identified in automated fashion, the 3D building reconstruction is performed. Experimental results showed that the proposed method classified successfully three different types of roof and that the fusion of LiDAR data and digital map could be a feasible method of modelling 3D building reconstruction.

• Journal of Biomedical Engineering Research
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• v.15 no.1
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• pp.27-34
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• 1994

In this paper. a way to analysis a corridor scene for a vehicle's automatic locomotion is presented In general, it's necessary for a vision system of vehicles to identify its positions in given environments. The suggested algorithm is to decide base lines of a corridor image using the vanishing point finding. Feature points are extracted on the base line using a base line extraction tree. This algorithm is suitable for a motorized wheelchair's self locomotion in a building.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.4
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• pp.243-249
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• 2016

This paper proposes a new watermarking algorithm to embed watermarks in thr process of sample adaptive offsets (SAO) for high efficiency video coding (HEVC) compressed videos. The proposed method embeds two-bit watermark into the SAO offsets for each coding tree unit (CTU). To minimize visual quality degradation caused by embedding watermark, watermark bits are embedded into SAO offset depending on the SAO types of block. Furthermore, the embedded watermark can be extracted by simply adding four offsets and checking their least significant bits (LSB) at the decoder side. The experimental results show that the proposed method achieves 0.3% BD-rate increase without much visual quality degradation. Two-bit watermark for each CTU is embedded for more bit watermarking. In addition, the proposed method requires negligible computational load for watermark insertion and extraction.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.70-72
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• 2001

최근 멀티미디어 응용의 증가에 따라 그래픽 데이터를 위한 내용 기반 검색 기술에 대한 연구가 활발히 진행되고 있다. 또한 인터넷 응용분야에서 3차원 그래픽 데이터베이스 사용의 필요성이 대두되고 활용되고 있다. 대부분의 3차원 그래픽 시스템은 사용자에게 그래픽은 검색이 대상이 아니라 단순히 보여주는 역할로 주로 사용되고 있다. 3차원 그래픽객체는 어떤 객체들로 구성되여 있으며 그들의 크기는 어떠한지 등의 정보를 포함하고 있다. 따라서 3차원 그래픽 객체에서는 2차원 그래픽 객체에서는 2차원 이미지보다 의미객체에 대한 정확한 정보를 더 많이 얻어 낼 수 있다. 이러한 사실 때문에 2차원 이미지의 특징추출의 방법과는 다른 형식의 접근이 필요하다. 본 논문에서는 3차원 그래픽으로 모델링 된 3차원 객체들을 대상으로 객체가 이루는 X, Y, Z축상의 비율과 윤곽형태에 대한 SPBT(Space Partitioning Binary Tree)의 결과값으로 특징을 추출하고 샘플 데이터를 통해서 이들간의 클러스터링과 실제 예제 질의를 토한 비교분석을 통해 객체간의 유사검색이 가능하도록 하는 특징추출 방법을 제안하였다. 본 논문에서는 제시한 모양기반 특징추출 방법은 웹상의 다양한 3차원 객체정보의 자동분류나 3차원 그래픽 데이터베이스를 위한 인덱스 구축 등에 활용될 수 있을 것이다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.17-24
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• 2008

위치기반 서비스(LBS: Location Based Service)는 사용자의 현재 위치를 파악하여, 사용자의 위치를 고려한 유용한 정보를 제공하는 서비스를 일컫는다. 위치기반 서비스에는 디렉토리 서비스, 게이트웨이 서비스, 유틸리티 서비스, 표현 서비스, 경로 서비스 등이 있는데, 이러한 서비스를 개발하려면 필수적으로 사용자의 위치를 파악해야 한다. 본 논문에서는 옥내 무선근거리통신망 환경에서 Fingerprint 방식으로 의사결정트리를 이용한 옥내 측위 방법을 소개한다. 또한 이 측위 방법으로 실험 데이터를 수집하고, 이를 이용한 이동 패턴 정보 추출에 대하여 살펴본다. 실험을 위해 의사결정트리를 생성하는 알고리즘과 현재 위치를 판정하는 알고리즘을 소개하고, 이 알고리즘을 적용한 옥내 측위 프로그램을 이용한다.

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.869-872
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• 2000

Although many content-based image retrieval systems using shape feature have tried to cover rotation-, position- and scale-invariance between images, there have been problems to cover three kinds of variance at the same time. In this paper, we introduce new approach to extract shape feature from image using MBR(Minimum Bounding Rectangle). The proposed method scans image for extracting MBR information and, based on MBR information, compute contour information that consists of 16 points. The extracted information is converted to specific values by normalization and rotation. The proposed method can cover three kinds of invariance at the same time. We implemented our method and carried out experiments. We constructed R*_tree indexing structure, perform k-nearest neighbor search from query image, and demonstrate the capability and usefulness of our method.

• Korean Journal of Food Science and Technology
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• v.8 no.2
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• pp.70-73
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• 1976

To develop a beverage indigenous to Korea, leaves of Doojoong tree (Eucommia ulmoides) were investigated for their chemical composition, extraction conditions and processing methods. It was concluded that Doojoong-tea from the leaves possesses sufficiently acceptable qualities as a favorite beverage.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.773-775
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• 2003

From the view point of data fusion, we integrate LIDAR data and digital aerial images to perform 3D building modeling in this study. The proposed scheme comprises two major parts: (1) building block extraction and (2) building model reconstruction. In the first step, height differences are analyzed to detect the above ground areas. Color analysis is then performed for the exclusion of tree areas. Potential building blocks are selected first followed by the refinement of building areas. In the second step, through edge detection and extracting the height information from LIDAR data, accurate 3D edges in object space is calculated. The accurate 3D edges are combined with the already developed SMS method for building modeling. LIDAR data acquired by Leica ALS 40 in Hsin-Chu Science-based Industrial Park of north Taiwan will be used in the test.