• Title/Summary/Keyword: raster

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Management of Vertical Control Points by Vector Method for Determination of Highway and Railroad Vertical Alignment (도로 및 철도의 종단선형 탐색을 위한 벡터방식의 Vertical Control Point 처리기법 연구)

  • Kim, Jeong Hyun;Han, Chang-Gun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.5
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    • pp.2033-2040
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    • 2013
  • There have been noticeable developments for the optimization of the highway and railroad alignments with the IT and computerized tools. The designers expect that all of the quantitative design elements should be considered. This study developed a methodology which can be useful for the vertical alignment design. It provides a accurate "vertical control point" searching method, and makes the vertical alignment optimization more efficiently. The vector method makes the searching faster and calculates more accurate application sections. The results from this method generate more reliable vertical alignments than the conventional raster method for less computation time.

Improved Prediction Structure and Motion Estimation Method for Multi-view Video Coding (다시점 비디오 부호화를 위한 개선된 예측 구조와 움직임 추정 기법)

  • Yoon, Hyo Sun;Kim, Mi Young
    • Journal of KIISE
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    • v.41 no.11
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    • pp.900-910
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    • 2014
  • Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. The computational complexity of multi view video coding increases in proportion to the number of cameras. To reduce computational complexity and maintain the image quality, improved prediction structure and motion estimation method is proposed in this paper. The proposed prediction structure exploits an average distance between the current picture and its reference pictures. The proposed prediction structure divides every GOP into several groups to decide the maximum index of hierarchical B layer and the number of pictures of each B layer. And the proposed motion estimation method uses a hierarchical search strategy. This strategy method consists of modified diamond search pattern, progressive diamond search pattern and modified raster search pattern. Experiment results show that the complexity reduction of the proposed prediction structure and motion estimation method over JMVC (Joint Multiview Video Coding) reference model using hierarchical B pictures of Fraunhofer-HHI and TZ search method can be up to 40~70% while maintaining similar video quality and bit rates.

Fast Hierarchical Search Method for Multi-view Video Coding (다시점 비디오 부호화를 위한 고속 계층적 탐색 기법)

  • Yoon, Hyo-Sun;Kim, Mi-Young
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.7
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    • pp.495-502
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    • 2013
  • Motion estimation (ME) that limits the performance of image quality and encoding speed has been developed to reduce temporal redundancy in video sequences and plays an important role in digital video compression. But it is computational demanding part of the encoder. Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. ME for Multi-view video requires high computational complexity. To reduce computational complexity and maintain the image quality, a fast motion estimation method is proposed in this paper. The proposed method uses a hierarchical search strategy. This strategy method consists of modified diamond search patten, multi gird diamond search pattern, and raster search pattern. These search patterns place search points symmetrically and evenly that can cover the overall search area not to fall into the local minimum or exploits the characteristics of the distribution of motion vectors to place the search points. Experiment results show that the speedup improvement of the proposed method over TZ search method (JMVC) can be up to 1.2 ~3 times faster while maintaining similar video quality and bit rates.

A Study for the Border line Extraction technique of City Spatial Building by LiDAR Data (LiDAR 데이터와 항공사진의 통합을 위한 사각 빌딩의 경계점 설정)

  • Yeon, Sang-Ho;Lee, Young-Wook
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.27-29
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    • 2007
  • The visual implementation of 3-dimensional national environment is focused by the requirement and importance in the fields such as, national development plan, telecommunication facility deployment plan, railway construction, construction engineering, spatial city development, safety and disaster prevention engineering. The currently used DEM system using contour lines, which embodies national geographic information based on the 2-D digital maps and facility information has limitation in implementation in reproducing the 3-D spatial city. Moreover, this method often neglects the altitude of the rail way infrastructure which has narrow width and long length. There it is needed to apply laser measurement technique in the spatial target object to obtain accuracy. Currently, the LiDAR data which combines the laser measurement skill and GPS has been introduced to obtain high resolution accuracy in the altitude measurement. In this paper, we first investigate the LiDAR based researches in advanced foreign countries, then we propose data a generation scheme and an algorithm for the optimal manage and synthesis of railway facility system in our 3-D spatial terrain information. For this object, LiDAR based height data transformed to DEM, and the realtime unification of the vector via digital image mapping and raster via exactness evaluation is transformed to make it possible to trace the model of generated 3-dimensional railway model with long distance for 3D tract model generation.

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An Optimization Strategy for Vector Spatial Data Transmission onover the Internet (인터넷을 통한 벡터 공간 데이타의 효율적 전송을 위한 최적화 기법)

  • Liang Chen;Chung-Ho Lee;Hae-Young Bae
    • Journal of KIISE:Databases
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    • v.30 no.3
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    • pp.273-285
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    • 2003
  • Generally, vector spatial data, with richer information than raster spatial data enabledata, enables a mere flexible and effective manipulation of the data sets. However, one of challenges against the publication of vector spatial information on the Internet is the efficient transmission of the big and complex vector spatial datadata, which is both large and complex, across the narrow-bandwidth of the Internet. This paper proposes a new transmission method, namely, the Scale-Dependent Transmission method, with the purpose of improving the efficiency of vector spatial data transmission on the narrow-bandwidthacross the Internet. Simply put, its nam idea is “Transmit what can be seen””. Scale is regarded as a factor naturally associated with spatial features so that not all features are visible to users at a certain scale. With the aid of the Wavelet-Wavelet-based Map Generalization Algorithm, the proposed method filters out invisible features from spatial objects according to the display scale and then to transmit onlytransmits only the visible features as athe final answer for an individual operation. Experiments show that the response times ofan individual operation has been reducedoperations were substantially by the usage of reduced when using the proposed method.

An Effective Early Termination Motion Estimation Method for Multi-view Video Coding (다시점 비디오 부호화를 위한 효과적인 초기 종료 움직임 추정 기법)

  • Yoon, Hyo-Sun;Kim, Mi-Young
    • Journal of Korea Multimedia Society
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    • v.17 no.3
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    • pp.333-341
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    • 2014
  • Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. Multi-view video coding requires high computational complexity. To reduce computational complexity and maintain the image quality, an effective early termination motion estimation method is proposed in this paper. The proposed method exploiting the characteristic of motion vector distribution uses a hierarchical search strategy. This strategy method consists of multi-grid square search pattern, modified diamond search pattern, small diamond search pattern and raster search pattern. Experiment results show that the speedup improvement of the proposed method over TZ search method and FS(Full Search) method JMVC (Joint Multiview Video Coding) can be up to 1.7~4.5 times and 90 times faster respectively while maintaining similar video quality and bit rates.

Hand-Gesture Recognition Using Concentric-Circle Expanding and Tracing Algorithm (동심원 확장 및 추적 알고리즘을 이용한 손동작 인식)

  • Hwang, Dong-Hyun;Jang, Kyung-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.3
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    • pp.636-642
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    • 2017
  • In this paper, We proposed a novel hand-gesture recognition algorithm using concentric-circle expanding and tracing. The proposed algorithm determines region of interest of hand image through preprocessing the original image acquired by web-camera and extracts the feature of hand gesture such as the number of stretched fingers, finger tips and finger bases, angle between the fingers which can be used as intuitive method for of human computer interaction. The proposed algorithm also reduces computational complexity compared with raster scan method through referencing only pixels of concentric-circles. The experimental result shows that the 9 hand gestures can be recognized with an average accuracy of 90.7% and an average algorithm execution time is 78ms. The algorithm is confirmed as a feasible way to a useful input method for virtual reality, augmented reality, mixed reality and perceptual interfaces of human computer interaction.

Structure-based Clustering for XML Document Retrieval (XML 문서 검색을 위한 구조 기반 클러스터링)

  • Hwang Jeong Hee;Ryu Keun Ho
    • The KIPS Transactions:PartD
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    • v.11D no.7 s.96
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    • pp.1357-1366
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    • 2004
  • As the importance or XML is increasing to manage information and exchange data efficiently in the web, there are on going works about structural integration and retrieval. The XML. document with the defined structure can retrieve the structure through the DTD or XML schema, but the existing method can't apply to XML. documents which haven't the structure information. Therefore. in this paper we propose a new clus-tering technique at a basic research which make it possible to retrieve structure fast about the XML documents that haven't the structure information. We first estract the feature of frequent structure from each XML document. And we cluster based on the similar structure by con-sidering the frequent structure as representative structure of the XML document, which makes it possible to retrieve the XML document raster than dealing with the whole documents that have different structure. And also we perform the structure retrieval about XML documents based on the clusters which is the group of similar structure. Moreover, we show efficiency of proposed method to describe how to apply the structure retrieval as well as to display the example of application result.

Geovisualization of Coastal Ocean Model Data Using Web Services and Smartphone Apps (웹서비스와 스마트폰앱을 이용한 연안해양모델 예측자료의 시각화시스템 구현)

  • Kim, Hyung-Woo;Koo, Bon-Ho;Woo, Seung-Buhm;Lee, Ho-Sang;Lee, Yang-Won
    • Spatial Information Research
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    • v.22 no.2
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    • pp.63-71
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    • 2014
  • Ocean leisure sports have recently emerged as one of so-called blue ocean industries. They are sensitive to diverse environmental conditions such as current, temperature, and salinity, which can increase needs of forecasting data as well as in-situ observations for the ocean. In this context, a Web-based geovisualization system for coastal information produced by model forecasts was implemented for use in supporting various ocean activities. First, FVCOM(Finite Volume Coastal Ocean Model) was selected as a forecasting model, and its data was preprocessed by a spatial interpolation and sampling library. The interpolated raster data for water surface elevation, temperature, and salinity were stored in image files, and the vector data for currents including speed and direction were imported into a distributed DBMS(Database Management System). Web services in REST(Representational State Transfer) API(Application Programming Interface) were composed using Spring Framework and integrated with desktop and mobile applications developed on the basis of hybrid structure, which can realize a cross-platform environment for geovisualization.

A Study on Generation Methodology of Crime Prediction Probability Map by using the Markov Chains and Object Interpretation Keys (마코프 체인과 객체 판독키를 적용한 범죄 예측 확률지도 생성 기법 연구)

  • Noe, Chan-Sook;Kim, Dong-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.11
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    • pp.107-116
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    • 2012
  • In this paper we propose a method that can generate the risk probability map in the form of raster shape by using Markov Chain methodology applied to the object interpretation keys and quantified risk indexes. These object interpretation keys, which are primarily characteristics that can be identified by the naked eye, are set based on the objects that comprise the spatial information of a certain urban area. Each key is divided into a cell, and then is weighted by its own risk index. These keys in turn are used to generate the unified risk probability map using various levels of crime prediction probability maps. The risk probability map may vary over time and means of applying different sets of object interpretation keys. Therefore, this method can be used to prevent crimes by providing the ways of setting up the best possible police patrol beat as well as the optimal arrangement of surveillance equipments.