• Title/Summary/Keyword: 구 정합

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Video Matching Algorithm of Content-Based Video Copy Detection for Copyright Protection (저작권보호를 위한 내용기반 비디오 복사검출의 비디오 정합 알고리즘)

  • Hyun, Ki-Ho
    • Journal of Korea Multimedia Society
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    • v.11 no.3
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    • pp.315-322
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    • 2008
  • Searching a location of the copied video in video database, signatures should be robust to video reediting, channel noise, time variation of frame rate. Several kinds of signatures has been proposed. Ordinal signature, one of them, is difficult to describe the spatial characteristics of frame due to the site of fixed window, $N{\times}N$, which is compute the average gray value. In this paper, I studied an algorithm of sequence matching in video copy detection for the copyright protection, employing the R-tree index method for retrieval and suggesting a robust ordinal signatures for the original video clips and the same signatures of the pirated video. Robust ordinal has a 2-dimensional vector structures that has a strong to the noise and the variation of the frame rate. Also, it express as MBR form in search space of R-tree. Moreover, I focus on building a video copy detection method into which content publishers register their valuable digital content. The video copy detection algorithms compares the web content to the registered content and notifies the content owners of illegal copies. Experimental results show the proposed method is improve the video matching rate and it has a characteristics of signature suitable to the large video databases.

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Quantitative Assessment of 3D Reconstruction Procedure Using Stereo Matching (스테레오 정합을 이용한 3차원 재구성 과정의 정량적 평가)

  • Woo, Dong-Min
    • Journal of IKEEE
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    • v.17 no.1
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    • pp.1-9
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    • 2013
  • The quantitative evaluation of DEM(Digital Elevation Map) is very important to the assessment of the effectiveness for the applied 3D image analysis technique. This paper presents a new quantitative evaluation method of 3D reconstruction process by using synthetic images. The proposed method is based on the assumption that a preacquired DEM and ortho-image should be the pseudo ground truth. The proposed evaluation process begins by generating a pair of photo-realistic synthetic images of the terrain from any viewpoint in terms of application of the constructed ray tracing algorithm to the pseudo ground truth. By comparing the DEM obtained by a pair of photo-realistic synthetic images with the assumed pseudo ground truth, we can analyze the quantitative error in DEM and evaluate the effectiveness of the applied 3D analysis method. To verify the effectiveness of the proposed evaluation method, we carry out the quantitative and the qualitative experiments. For the quantitative experiment, we prove the accuracy of the photo-realistic synthetic image. Also, the proposed evaluation method is experimented on the 3D reconstruction with regards to the change of the matching window. Based on the fact that the experimental result agrees with the anticipation, we can qualitatively manifest the effectiveness of the proposed evaluation method.

Foreground Segmentation and High-Resolution Depth Map Generation Using a Time-of-Flight Depth Camera (깊이 카메라를 이용한 객체 분리 및 고해상도 깊이 맵 생성 방법)

  • Kang, Yun-Suk;Ho, Yo-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37C no.9
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    • pp.751-756
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    • 2012
  • In this paper, we propose a foreground extraction and depth map generation method using a time-of-flight (TOF) depth camera. Although, the TOF depth camera captures the scene's depth information in real-time, it has a built-in noise and distortion. Therefore, we perform several preprocessing steps such as image enhancement, segmentation, and 3D warping, and then use the TOF depth data to generate the depth-discontinuity regions. Then, we extract the foreground object and generate the depth map as of the color image. The experimental results show that the proposed method efficiently generates the depth map even for the object boundary and textureless regions.

A Study on Hierarchical Recognition Algorithm of Multinational Banknotes Using SIFT Features (SIFT특징치를 이용한 다국적 지폐의 계층적 인식 알고리즘에 관한 연구)

  • Lee, Wang-Heon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.7
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    • pp.685-692
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    • 2016
  • In this paper, we not only take advantage of the SIFT features in banknote recognition, which has robustness to illumination changes, geometric rotation as well as scale changes, but also propose the hierarchical banknote recognition algorithm, which comprised of feature vector extraction from the frame grabbed image of the banknotes, and matching to the prepared data base of multinational banknotes by ANN algorithm. The images of banknote under the developed UV, IR and white illumination are used so as to extract the SIFT features peculiar to each banknotes. These SIFT features are used in recognition of the nationality as well as face value. We confirmed successful function of the proposed algorithm by applying the proposed algorithm to the banknotes of Korean and USD as well as EURO.

Analysis of Automatic Rigid Image-Registration on Tomotherapy (토모테라피의 자동영상정합 분석)

  • Kim, Young-Lock;Cho, Kwang Hwan;Jung, Jae-Hong;Jung, Joo-Young;Lim, Kwang Chae;Kim, Yong Ho;Moon, Seong Kwon;Bae, Sun Hyun;Min, Chul Kee;Kim, Eun Seog;Yeo, Seung-Gu;Suh, Tae Suk;Choe, Bo-Young;Min, Jung-Whan;Ahn, Jae Ouk
    • Journal of radiological science and technology
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    • v.37 no.1
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    • pp.37-47
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    • 2014
  • The purpose of this study was to analyze translational and rotational adjustments during automatic rigid image-registration by using different control parameters for a total of five groups on TomoTherapy (Accuray Inc, Sunnyvale, CA, USA). We selected a total of 50 patients and classified them in five groups (brain, head-and-neck, lung, abdomen and pelvic) and used a total of 500 megavoltage computed tomography (MVCT) image sets for the analysis. From this we calculated the overall mean value(M) for systematic and random errors after applying the different control parameters. After randomization of the patients into the five groups, we found that the overall mean value varied according to three techniques and resolutions. The deviation for the lung, abdomen and pelvic groups was approximately greater than the deviation for the brain and head-and-neck groups in all adjustments. Overall, using a "full-image" produces smaller deviations in the rotational adjustments. We found that rotational adjustment has deviations with distinctly different control parameters. We concluded that using a combination of the "full-image" technique and "standard" resolution will be helpful in assisting with patients' repositioning and in correcting for set-up errors prior to radiotherapy on TomoTherapy.

Design and Fabrication of MMIC Amplifier for BWLL (BWLL용 MMIC 증폭기의 설계 및 제작)

  • 배현철;윤용순;박현창;박형무;이진구
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.13 no.4
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    • pp.323-330
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    • 2002
  • In this paper, we have designed and fabricated an BWLL MMIC amplifier using GaAs PHEMT devices. We have optimized power divider/combiner size for small size of MMIC amplifier Using 0.2 ${\mu}$m AIGaAs/lnGaAs/GaAs PHEMT devices, the two stave MMIC amplifier has demonstrated a S$_{21}$ gain of 8.7 ㏈ with input/output return losses of lower than -10 ㏈ at 26.7 GHz. The size of this chip is 4.11 ${\times}$ 2.66 $\textrm{mm}^2$.

Estimation of Disparity Map using MMAD and SIFT (MMAD와 SIFT를 이용한 디스패리티 맵 생성)

  • Shin, Do-Kyung;Moon, Young-Shik
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10c
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    • pp.510-515
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    • 2007
  • 2차원 영상으로부터 3차원 정보를 획득하기 위해서는 disparity map의 정확한 계산이 요구된다. Disparity map을 구하기 위한 기존의 알고리즘은 크게 상관도 기반 방법과 특징 기반 방법으로 분류되는데, 본 논문에서는 이들 각 방법에 대한 분석을 통해서 좀 더 정확한 disparity map을 구하는 방법을 모색한다. 이를 위해 스테레오 카메라로부터 획득된 2차원 영상에서 건물에 대한 깊이 정보 추출을 위해 SIFT 기법을 이용한 disparity map 생성 알고리즘을 제안한다. 제안된 기법은 수정된 MAD인 MMAD(Modified Mean of Absolute Differences) 알고리즘을 새로 제안하여 영역 기반의 유사도 측정을 기반으로 하면서 특징 기반 방법의 하나인 SIFT를 적용하여 거짓 정합(false matching)에 의한 에러를 줄이고 폐색(occlusion) 영역에 대한 오류를 보정한 disparity map을 생성하는데 초점을 둔다.

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A Study on Variable Block Matching Algorithm Using Edge Information of Differential Image (차영상의 윤곽정보를 이용한 가변 블록 정합 알고리즘에 관한 연구)

  • 권병헌;안정길;황병원
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.4
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    • pp.639-648
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    • 1994
  • This paper presents a new block matching algorithm in estimation of motion information that is important technology in compressing interframe. In estimation of motion information, we find differential image using two successive frame image in order to find required real time processing and accurate moving vector, the binary image is made of edge and find more accurate moving vectors by application quadtree method to parts including many moving according to this activity. The computer simulation results show that increased PSNR and reduced computation time.

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Design of Ultra-Wideband Klopfenstein Tapered Balun (클로펜스타인 테이퍼 구조의 초광대역 발룬 설계)

  • Lee, Ho Sang;Yoo, Tae Hoon;Nah, Wansoo
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.1273-1274
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    • 2015
  • 본 논문에서는 주파수 무관(frequency independence) 특성을 갖는 자기상보 구조(self-complementary structure)로 된 안테나의 급전선로(feed line)로 사용할 수 있는 초광대역 발룬(ultra-wideband balun)을 제안하였다. 발룬을 설계하기 위해 클로펜스타인 테이퍼(Klopfenstein taper)를 사용하여 임피던스 프로파일(impedance profile)을 구하고 이를 평행 스트립 선로(parallel strip line) 구조로 구현하기 위해 등각사상방법(conformal mapping method)을 이용했다. 설계한 발룬을 직접 제작하여 측정한 결과, 대역폭은 반사손실 -10 dB를 기준으로 할 때 0.45~10.53 GHz까지 10.08 GHz로 나타나, UHF(ultra high frequency) 통신대역에서 UWB(ultra-wideband) 통신대역에 이르기까지 매우 넓은 주파수 범위에서 자기상보형 안테나의 입력 임피던스 $188{\Omega}$$50{\Omega}$의 특성 임피던스에 정합시킬 수 있음을 확인하였다.

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Design and Fabrication of two-stage Low Noise Amplifier for 24GHz (24GHz 2단 저잡음 증폭기의 설계 및 제작)

  • 조현식;박창현;김장구;강상록;한석균;최병하
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.304-308
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    • 2003
  • In this paper, two-stage low noise amplifier(LNA) for 24GHz is designed and fabricated using NE450284C HJ-FET of NEC CO. In order to get noise figure and input VSWR to be wanted, it is considered input VSWR and noise figure simultaneously in matching-circuit designing. The fabricated two-stage low noise amplifier has the gain of 16.6dB, input VSWR of 1.6, and output VSWR under 1.5.

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