• Title/Summary/Keyword: picture search

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IN SEARCH OF PEACE ON THE SILK ROAD: FROM THEORY TO PRACTICE

  • TOKSOZ, ITIR
    • Acta Via Serica
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    • v.2 no.1
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    • pp.7-30
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    • 2017
  • Looking beyond the assumptions and arguments of commercial liberalism, which sees economic interdependence and cooperation as fostering peace, this paper demonstrates that peace as an ideal can be found in various theories of international politics. The author finds the commercial liberal perspective to peace to be too narrow to explain the opportunities and challenges posed along the Silk Road and proposes to look at the peace narrative on the Silk Road through the lens of other approaches to peace, including the more interdisciplinary field of peace studies, for a more comprehensive picture.

The analysis of motion estimation algorithm of MPEG-2 TM5 encoder (MPEG-2 TM5 부호기의 움직임 예측 처리 과정)

  • 김준기;이호석
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.245-247
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    • 1999
  • 본 논문은 MPEG-2 TM 5 비디오 부호기의 움직임 예측(motion estimation) 처리과정을 소개한다. 비디오에는 공간의 중복성보다 시간의 중복성이 훨씬 많다. 따라서 시간의 중복성을 찾아내는 것이 압축의 효율을 높이는 중요한 척도가 된다. MPEG-2 부호기는 움직임 예측 알고리즘을 사용하여 시간의 중복성을 줄여 압축 효율을 높인다. 움직임 예측은 참조 블록의 위치로부터 원래 블록의 위치를 추정하여 최적의 움직임 벡터를 찾는 과정이다. PMEG-2에서의 움직임 예측은 full search 알고리즘을 사용하여 마지막으로 hlaf pel로 산출한다. 본 논문에서는 MPEG-2 움직임 예측 과정을 frame estimation, field estimation, picture 타입에 따른 estimation, 움직임 예측을 위한 블록 매칭 알고리즘, full search 방법 및 움직임 벡터에 대하여 소개한다.

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An Image Retrieval Technique using Entropy and Color Features (엔트로피와 색채 특징을 이용한 영상 검색 기법)

  • Kim, Tae-Hui;Jeong, Dong-Seok
    • Journal of KIISE:Computer Systems and Theory
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    • v.26 no.3
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    • pp.282-290
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    • 1999
  • 본 논문에서는 영상 데이터베이스에서의 색인화를 위해 화소간의 엔트로피(inter-pixel entropy)측면에서 영상을 해석하여 특징을 추출하는 색인기법을 제안하였다. 엔트로피를 정량적으로 나타내기 위하여 PIM(picture information measure)에 기반한 특징을 각각의 영상들로부터 추출하여 색인으로 사용하였다. 엔트로피에 기반 하는 특징은 한 영상에 대하여 3가지를 추출하였다. 첫 번째 특징은 원 영상으로부터 직접 값들을 추출하였고 영상의 해상도와 그레이 레벨을 낮추어 가면서 얻어지는 영상들로부터 두 번째, 세번째 의 엔트로피 특징을 각각 추출하였다. 일반적으로 영상의 경우에 엔트로피가 높은 영역에 정보가 집중되는 경향이 있고 엔트로피가 낮은 영역에서는 배경 영역 등의 정보를 추출하게된다. 이러한 이유로 색채 특쟁은 엔트로피에 따라서 분리된 영역에서 추출하였다. 전역검색(global search)은 엔트로피 특징을 이용하였고 색채 특징을 이용하여 지역 검색(local search)을 시도하였다. 실험은 색채와 엔트로피로 식별이 유용한 꽃 영상을 사용하였는데 원치 않는 영상이 상위 단계에서 나타나는 빈도가 기존의 타 기법에 비해 줄어들었다.

Service for connecting Shopping mall using Image Search (이미지 검색을 이용한 쇼핑몰 연계 서비스)

  • Ha, Yan;Jeong, Ji-Won;Kim, Ru-Bi;Choi, Ji-Yeon;Heo, Jeong-Yun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.06a
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    • pp.173-174
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    • 2011
  • 본 논문에서는 그림을 그려서 원하는 이미지를 그리고, 이를 인식하여 상품을 찾아주는 정보전달 방식을 제안한다. 사용자가 원하는 이미지에 맞는 상품을 검색할 수 있도록 하는데, 그림 그리기가 가능하고, 개인의 "공감", "신뢰"를 실현하는 공간과 개인과 기업을 연결해주는 정보성 검색으로 쇼핑몰을 연계하는 것을 목표로 한다. 본문 내에서는 고객이 직접 찾는 디자인을 간단히 그리면 비슷한 그림의 상품이 나오게 되는 공간을 제작, 상품이 나오면 기업과의 연계를 통하여 구매로까지 이어질 수 있는 공간을 제시하는 것을 목표로 한다.

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Motion Estimation by Classification of Block Types (블록 유형 분류에 의한 움직임 추정)

  • Yoon Hyo-Sun;Yoo Jae-Myeong;Park Mi-Seon;Kim Mi-Young;Toan Nguyen Dinh;Lee Guee-Sang
    • The KIPS Transactions:PartB
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    • v.13B no.6 s.109
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    • pp.585-590
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    • 2006
  • Although motion estimation Plays an important role in digital video compression, complex search procedure is required to find an optimal motion vector. To reduce the search time, the search start point should be set up properly md efficient search pattern is needed. If the overall motion of the torrent block can be predicted, motion estimation can be performed efficiently. In this paper. block types are classified using candidate vectors and the motion activity of the block is predicted which leads to the search start point close to the optimal motion vector. The proposed method proves to be about 1.5$\sim$7 times faster than existing methods with about 0.02$\sim$0.2(dB) improvement of picture quality in images with large movements.

Motion Estimation Method by Using Depth Camera (깊이 카메라를 이용한 움직임 추정 방법)

  • Kwon, Soon-Kak;Kim, Seong-Woo
    • Journal of Broadcast Engineering
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    • v.17 no.4
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    • pp.676-683
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    • 2012
  • Motion estimation in video coding greatly affects implementation complexity. In this paper, a reducing method of the complexity in motion estimation is proposed by using both the depth and color cameras. We obtain object information with video sequence from distance information calculated by depth camera, then perform labeling for grouping pixels within similar distances as the same object. Three search regions (background, inside-object, boundary) are determined adaptively for each of motion estimation blocks within current and reference pictures. If a current block is the inside-object region, then motion is searched within the inside-object region of reference picture. Also if a current block is the background region, then motion is searched within the background region of reference picture. From simulation results, we can see that the proposed method compared to the full search method remains the almost same as the motion estimated difference signal and significantly reduces the searching complexity.

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.

Implementation of PACS using PDA System on Medical Images (PDA기반 의료영상의 전송시스템 구현)

  • Ji, Yeon-Sang;Dong, Kyung-Rae;Kim, Chang-Bok
    • The Journal of the Korea Contents Association
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    • v.9 no.4
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    • pp.247-253
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    • 2009
  • PACS(Picture archiving communication system) is a system that enables medical images such as X -ray, CT, MRI, PET to be stored electronically viewed on computer screens so that doctors and other authorized people can access search the information as needed. But if they are not in hospital area for example on holiday or at night, that are not able to access the PACS system instantly. We have to solve this problem for more efficient patient care. So we try to suggest a method that use the PDA system that wireless LAN and CDMA cellular phone are equipped. This system may help to access easier to PACS system regardless of the location and can also attribute the development of telemedicne.

System Implementation for Mobile-Based Diagnostic Medical Image Service (모바일 진단의료영상 서비스를 위한 시스템 구현)

  • Kim, Yong-Soo;Jeon, Joonhyeon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.11
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    • pp.870-878
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    • 2013
  • The objective of this paper is to develop mobile-based PACS(Picture Archiving Communication System: mPACS) for diagnostic medical image service available via Android-based mobile smartphone. The proposed mPACS provides an integrated platform for mobile application of diagnostic medical images stored in hospital PACS, and allows the smartphone to store, retrieve, manipulate and transfer the diagnostic medical images. Then, the mPACS platform includes the following features for use in the Android framework (i. e., diagnostic medical image processing) : transfer protocols between PACS, mPACS and smartphone, image format converter, JPEG and JPEG2000 coders, text and avatar search, and etc. This mPACS is shown to be useful and effective in providing a solution for mobile-based diagnostic medical image service.

Fine Granular Scalable Coding using Matching Pursuit with Multi-Step Search (다단계 탐색 기반 Matching Pursuit을 이용한 미세 계층적 부호화 기법)

  • 최웅일
    • Journal of Broadcast Engineering
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    • v.6 no.3
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    • pp.225-233
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    • 2001
  • Real-time video communication applications over Internet should be able to support such functionality as scalability because of the unpredictable and varying channel bandwidth between server and client. To accommodatethe wide variety of channel bitrates, a new scalable coding tool, namely the Fine Granular Scalability (FGS) coding tool has been reduce the adopted In the MPEG-4 video standard. This paper presentsa new FGS algorithm with matching Pursuit that can reduce the computational complexity of ordinal matching pursuit-based algorithm. The Proposed coding algorithm can make trade-off between Picture Quality and computationalcomplexity. Our simulation result shows that the proposed algorithm can reduce the computational cumplexity up to 1/5 compared to the conventional FGS method while retaining a similar picture quality.

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