• Title/Summary/Keyword: 영상기록

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Multiview Stereoscopic Display based on Volume Holographic Memory (체적 홀로그래픽 메모리를 이용한 다시점 스테레오스코픽 디스플레이)

  • 이승현;손광철;심원섭;양훈기;김은수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.5A
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    • pp.688-695
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    • 2000
  • We present a multi-view autostereoscopic display system based on volume holographic storage technique. In this proposed system, the interference pattern of spatial multiplexed plane reference and angular multiplexed plane object beams are recorded into a photorefractive crystal, which plays a role of guiding object beams of multi-view images into the desired persfective directions. For reconstruction, object beams containing the desired multi-view image information, which satisfy Bragg matching condition, are illuminated in the time-division multiplexed manner onto the crystal. Then multiple stereoscopic images are Projected to the display plane for autostereoscopic 3D viewing.

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An effective transmission in high quality multimedia based emergency telemedicine (응급 원격진료시스템을 위한 고품질 멀티미디어 데이터의 무선망에서의 효율적 전송)

  • Park, Jung-Hoon;Park, Jin-Bae;Yoon, Tae-Sung;Yoo, Sun-Kuk
    • Proceedings of the KIEE Conference
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    • 2003.07d
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    • pp.2343-2345
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    • 2003
  • 근래에 여러 종류의 다양한 원격응급진료시스템이 개발되어 왔고, 그중 무선원격진료시스템에 있어서는 환자기록데이터나 생체신호, 정지영상과 같은 미미한 데이터만을 보내는 시스템이 주류였다. 이에 무선응급진료시스템에 많은 시도가 이루어지기 시작하였고, 다양한 형태의 시스템이 특정목적에 맞게 구현 되기 시작하였다. 본 논문에서는 고품질 멀티미디어 데이터를 원격응급진료시스템에 적용하여, 고품질 영상데이터와 ECG(Electro Cardiogram), SPO2, BP(Blood Pressure), Body Temperature 데이터를 CDMA 무선망을 이용하여 효과적으로 전송하는 방법을 제안한다. 또한 다양한 시험을 통하여 고품질 환자동영상과 환자데이터를 효과적으로 전송할 수 있음을 확인하였다.

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Design of Smart Learning System Based on Gaze Recognition Function (시선인식기능기반 스마트러닝 시스템 설계)

  • Choi, Seung-Lan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.306-309
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    • 2015
  • 현재 태블릿 PC와 스마트기기의 급속한 보급으로 다양한 분야의 스마트러닝 시스템들이 운영되고 있다. 그러나 현재까지의 스마트러닝 시스템에서는 학습자가 강의를 정확하게 수강하였는지의 판단은 로그인과 동영상강의의 런닝타임으로 체크하여 학습자가 동영상강의를 제대로 수강하였는지는 판단하기 어렵다. 그래서 본 논문에서는 기존 스마트러닝 시스템에 스마트기기의 내장 카메라를 이용한 시선인식기능을 사용하여 학습자가 동영상강의를 수강하는 동안 시선인식이 되지 못하면 동영상이 멈추게 설계하여 강의내용을 끝까지 수강하게 한다. 그리고 각 수강생별로 시선인식이 되지않아 동영상이 멈춘 시간대와 멈춘 시간을 기록하여 강의종료 후 서버에 전송하여 전체 강의시간에 대한 집중도를 체크하며 학습자의 수강여부를 판단하고 같은 강의를 수강하는 여러 학습자들의 자료를 분석하여 교수자가 강의를 개선할 수 있는 스마트러닝 시스템을 설계하려고 한다.

Crack detection system for exterior wall in a drone camera image using YOLO deep learning technique (YOLO 딥러닝 기법을 이용한 드론카메라 영상 내 건물 외벽 균열 검출 시스템)

  • Yun, Tae-Jin;Jeon, Jin-Woo;Ko, Byung-Yoon;Woo, Hyun-Koo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.303-304
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    • 2019
  • 본 논문에서는 자연재해나 노후화로 인해 많은 건물의 외벽에 균열(Crack)이 생기고 있고, YOLO 딥러닝 기법을 이용하여 텐서플로우(Tensorflow)기반 균열 데이터의 학습 과정을 거쳐 가중치 파일을 획득하고, 이를 기반으로 효율적으로 건물 관리를 할 수 있는 드론(Drone)에 장착된 카메라를 이용한 실시간 영상으로 건물 외벽 균열을 촬영하고 균열을 감지하여 사용자 모니터에 감지된 균열을 경계 상자를 통해 검출하고, 검출 사진과 위치를 기록하도록 시스템을 개발하였다.

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영상인식기반의 선박 의약품 종합 관리 시스템 개발

  • 박지해;최원진;문성배
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.220-221
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    • 2022
  • 선박에선 의료관리자가 선박 의약품의 처방 및 관리를 하고 있으며 이는 대부분 항해사로 지정된다. 항해사의 고유 업무와 전문의료지식 부족으로 의약품 관리가 체계적으로 이루어지지 않고 수기로 기록되는 문제점이 있다. 본 연구에서는 영상인식기반의 선박 의약품 종합 관리 시스템을 개발하여 의약품 관리를 자동화하고 의료관리자의 업무 효율성을 증가시키고자 한다. 시스템은 의약품 용기·포장지를 촬영한 영상으로부터 글자를 인식하는 OCR(Optical Character Recognition) 기술을 활용한 모듈, 바코드를 인식모듈, 사용자가 검색할 수 있는 모듈로 구성되어있으며 선박 의약품을 데이터베이스화하여 전산으로 관리할 수 있다. 또한 시스템을 통하여 의약품 재고 관리를 하거나 의약품의 사용법을 확인할 수 있다.

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An Efficient Compression Method of Integral Images Using Adaptive Block Modes (적응적인 블록 모드를 이용한 집적 영상의 효율적인 압축 방법)

  • Jeon, Ju-Il;Kang, Hyun-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.47 no.6
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    • pp.1-9
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    • 2010
  • In this paper, we propose an efficient compression method of the integral images. The integral imaging is a well-known technique to represent and record three-dimensional images. The proposed method is based on three dimensional discrete cosine transform (3D-DCT). The 3D-DCT techniques for the integral images have been reported as an efficient coding method for the integral images which reduces the redundancies between adjacent elemental images. The proposed method is a compression method efficient to integral images using adaptive block mode(ABM), based on the 3D-DCT technique. In the ABM, 3D-DCT blocks adaptive to the characteristics of integral images are constructed, which produces variable block size 3D-DCT blocks, and then 3D-DCTs for the 3D blocks are performed. Experimental results show that the proposed method gives significant improvement in coding efficiency. Especially, at the high bit-rates, the proposed method is more excellent since the overhead incurred by the proposed method take less part of the total bits.

A Method of Frame Synchronization for Stereoscopic 3D Video (스테레오스코픽 3D 동영상을 위한 동기화 방법)

  • Park, Youngsoo;Kim, Dohoon;Hur, Namho
    • Journal of Broadcast Engineering
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    • v.18 no.6
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    • pp.850-858
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    • 2013
  • In this paper, we propose a method of frame synchronization for stereoscopic 3D video to solve the viewing problem caused by synchronization errors between a left video and a right video using the temporal frame difference image depending on the movement of objects. Firstly, we compute two temporal frame difference images from the left video and the right video which are corrected the vertical parallax between two videos using rectification, and calculate two horizontal projection profiles of two temporal frame difference images. Then, we find a pair of synchronized frames of the two videos by measuring the mean of absolute difference (MAD) of two horizontal projection profiles. Experimental results show that the proposed method can be used for stereoscopic 3D video, and is robust against Gaussian noise and video compression by H.264/AVC.

Ultrasound and MRI Findings of Giant Cell Fibroblastoma in the Abdominal Wall: Radiologic-Pathologic Correlations (복벽에 발생한 거대세포 섬유아세포종의 초음파와 자기공명영상 소견: 영상소견과 병리학적 소견의 비교)

  • Soyoon Min;Sun-Young Park;Jinwon Seo;Sung Hye Koh;Kwanseop Lee
    • Journal of the Korean Society of Radiology
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    • v.81 no.1
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    • pp.237-242
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    • 2020
  • Giant cell fibroblastoma (GCF) is a rare soft-tissue sarcoma of fibroblastic origin. To the best of our knowledge, only one brief description of the MRI findings of GCF exists in the pathologic literature. Herein, we report a case of histologically proven GCF in a 3-year-old boy who underwent ultrasonography and MRI of a superficial mass in the abdominal wall.

A Study on Characteristics and Management of Records of Architectural Cultural Properties (건축문화재 기록의 특성과 관리 방안 연구)

  • Kang, Soo-Na;Kim, Ik-Han
    • The Korean Journal of Archival Studies
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    • no.19
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    • pp.3-55
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    • 2009
  • Records of architectural cultural properties, in case of accidents, show who are to blame, present what evidences are to establish the cause, and also are used for checking if there were any problem in policies and regulations in preserving and caring architectural cultural properties. These records are of great importance in their roles and are of essential use regardless of time and space. Considering its significance, In that architectural cultural properties requires setting clear goals and directions and as well, criteria, for management, we need methods of systematical control and consideration for its characteristics. This research started with the sense of purpose that managing architectural cultural properties are in need of systematic and concrete control, based on the perception that they need protecting and transmitting. The goal of this thesis is to work on the current archiving status of architectural cultural properties by monitoring patterns and processes in archival administration, to diagnose problems by looking into the records creation and management, and to present the improvement plan which would lead to the architectural cultural properties' more efficient management and better use in the future. The management of architectural cultural properties begins with registering and assigning. Cultural Heritage Administration is in charge of control, supervision, and budget and local governments deal with direct management. Accordingly, records are by the hands of each local governmental body. Currently, each cultural property has its management depending on every different working environment in each governmental body. Architectural cultural properties needs managing in one body through the synthetic and unified, concrete and systematic manual and guide for management. Archiving architectural cultural properties have need of unitive management through a professional system, considering the physical characteristics and history of archiving. Unified management system will enhance efficiency and actual use of architectural cultural property records if one governmental body undertakes uniting records through standardization and professional supervision, and data-based unified search engine would enhance efficiency and actual use. Therefore, I suggest that Archives for Architectural Cultural Properties should be established as a professional Archives and wholly responsible body for the purpose of systematically and unifiedly managing architectural cultural property records with professional personnel and facility and transmitting their historical, cultural, and academic value. In Korea, studies up to the present have mainly focused on managing architectural records and records of drawing while few efforts were made to directly deal with managing architectural cultural properties themselves. The focus of this thesis is to study the current status and establish problems of the management of architectural cultural properties in administrative process, and as a result, to propose to establish Archives for Architectural Cultural Properties as a professional archives.

Design and Implementation of Vehicle Route Tracking System using Hadoop-Based Bigdata Image Processing (하둡 기반 빅데이터 영상 처리를 통한 차량 이동경로 추적 시스템의 설계 및 구현)

  • Yang, Seongeun;Choi, Changyeol;Choi, Hwangkyu
    • Journal of Digital Contents Society
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    • v.14 no.4
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    • pp.447-454
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    • 2013
  • As the surveillance CCTVs are increasing every year, big data image processing for the CCTV image data has become a hot issue. In this paper, we propose a Hadoop-based big data image processing technique to recognize a vehicle number from a large amount of automatic number plate images taken from CCTVs. We also implement the vehicle route tracking system that displays the moving path of the searched vehicle on Google Maps with the related information together. In order to evaluate the performance we compare and analysis the vehicle number recognition time for a lot of CCTV image data in Hadoop and the single PC environment.