• Title/Summary/Keyword: RGB전송프레임

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Design of Image Data Transmitter for Mobile Display Digital Interface (Mobile Display Digital Interface 표준용 영상 데이터 전송기 설계)

  • Lee, Ho-Kyung;Kim, Tae-Ho;Kang, Jin-Ku
    • Journal of IKEEE
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    • v.13 no.4
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    • pp.50-56
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    • 2009
  • This paper describes the design of image data transmitter for portable media device for Mobile Display Digital Interface standard. The transmitter uses connection lines to 6 to transmit QVGA image data. In this paper, the transmitter is using only 9 packets for image processing and a state-machine based design is adapted for packet processing. The design was verified using FPGA Xilinx virtex4-LX60. Data rate of the transmitter is 363Mbps with six connection lines. The transferring capability is 30 frame of 24bit RGB 500,000 pixel image data per second.

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Image Contents Encryption Technique for Digital Hologram Broadcasting Service (디지털 홀로그램 방송을 위한 영상 콘텐츠의 암호화)

  • Ha, Jun;Choi, Hyun-Jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.818-819
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    • 2013
  • This paper propose a contents security technique for digital holographic display service. Digital holographic video system assumes the existing service frame for 2-dimensional or 3-dimensional video, which includes data acquisition, processing, transmission, reception, and reconstruction. In this paper, we perform the encryption of RGB image and depth-map for such a system. The experimental results showed that encrypting only 0.048% of the entire data was enough to hide the constants of the RGB image and depth-map.

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Teacher-Student Architecture Based CNN for Action Recognition (동작 인식을 위한 교사-학생 구조 기반 CNN)

  • Zhao, Yulan;Lee, Hyo Jong
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.3
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    • pp.99-104
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    • 2022
  • Convolutional neural network (CNN) generally uses two-stream architecture RGB and optical flow stream for its action recognition function. RGB frames stream display appearance and optical flow stream interprets its action. However, the standard method of using optical flow is costly in its computational time and latency associated with increased action recognition. The purpose of the study was to evaluate a novel way to create a two sub-networks in neural networks. The optical flow sub-network was assigned as a teacher and the RGB frames as a student. In the training stage, the optical flow sub-network extracts features through the teacher sub-network and transmits the information to student sub-network for baseline training. In the test stage, only student sub-network was operational with decreased in latency without computing optical flow. Experimental results shows that our network fed only by RGB stream gets a competitive accuracy of 54.5% on HMDB51, which is 1.5 times better than that on R3D-18.

An Implementation of the RGB Remote Controller for LED Emotion Lighting of AtoN Facilities (항로표지 시설의 LED 감성조명을 위한 RGB 원격 콘트롤러의 구현)

  • Jeong, Yeong-Cheol;Choi, Jo-Cheon;Cho, Dae-Hwan
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.18 no.5
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    • pp.475-480
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    • 2012
  • This study on the methode is easied to distinguish with emotional visual lighting on AtoN facility using 3colors LED, and which is controlled to on-off switching of approach light in shore or harbor. The identification have easied to provide a differentiation between the AtoN facility of red and white light and surrounding light in harbor both sides. And the integrated controller have designed to left-right and serial sequential lighting system for harbor guidance using the GPS synchronous or timer. There is expectation effect that is prevent a confusion about distinguish of facility by ship's operator and to beautify a night scene of harbor, which is expressed to emotional identification lighting and variable color lighting on AtoN body by vertical layer color lighting using LED. In addition, the performance of AtoN is implemented to display with guidance light the harbor safety message by morse code lighting. Effectiveness of system is enhanced that age and power consumption reduce by candle alternated high light LED.

Online Monitoring System based notifications on Mobile devices with Kinect V2 (키넥트와 모바일 장치 알림 기반 온라인 모니터링 시스템)

  • Niyonsaba, Eric;Jang, Jong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.6
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    • pp.1183-1188
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    • 2016
  • Kinect sensor version 2 is a kind of camera released by Microsoft as a computer vision and a natural user interface for game consoles like Xbox one. It allows acquiring color images, depth images, audio input and skeletal data with a high frame rate. In this paper, using depth image, we present a surveillance system of a certain area within Kinect's field of view. With computer vision library(Emgu CV), if an object is detected in the target area, it is tracked and kinect camera takes RGB image to send it in database server. Therefore, a mobile application on android platform was developed in order to notify the user that Kinect has sensed strange motion in the target region and display the RGB image of the scene. User gets the notification in real-time to react in the best way in the case of valuable things in monitored area or other cases related to a reserved zone.

An Input/Output Technology for 3-Dimensional Moving Image Processing (3차원 동영상 정보처리용 영상 입출력 기술)

  • Son, Jung-Young;Chun, You-Seek
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.8
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    • pp.1-11
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    • 1998
  • One of the desired features for the realizations of high quality Information and Telecommunication services in future is "the Sensation of Reality". This will be achieved only with the visual communication based on the 3- dimensional (3-D) moving images. The main difficulties in realizing 3-D moving image communication are that there is no developed data transmission technology for the hugh amount of data involved in 3-D images and no established technologies for 3-D image recording and displaying in real time. The currently known stereoscopic imaging technologies can only present depth, no moving parallax, so they are not effective in creating the sensation of the reality without taking eye glasses. The more effective 3-D imaging technologies for achieving the sensation of reality are those based on the multiview 3-D images which provides the object image changes as the eyes move to different directions. In this paper, a multiview 3-D imaging system composed of 8 CCD cameras in a case, a RGB(Red, Green, Blue) beam projector, and a holographic screen is introduced. In this system, the 8 view images are recorded by the 8 CCD cameras and the images are transmitted to the beam projector in sequence by a signal converter. This signal converter converts each camera signal into 3 different color signals, i.e., RGB signals, combines each color signal from the 8 cameras into a serial signal train by multiplexing and drives the corresponding color channel of the beam projector to 480Hz frame rate. The beam projector projects images to the holographic screen through a LCD shutter. The LCD shutter consists of 8 LCD strips. The image of each LCD strip, created by the holographic screen, forms as sub-viewing zone. Since the ON period and sequence of the LCD strips are synchronized with those of the camera image sampling adn the beam projector image projection, the multiview 3-D moving images are viewed at the viewing zone.

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Development of an Imaging Processing System for Automation of a Callus Inoculation (식물조직배양 자동화를 위한 영상처리장치 개발)

  • Chung, Suk-Hyun;No, Dae-Hyun;Song, Jae-Kwan
    • Journal of Bio-Environment Control
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    • v.18 no.2
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    • pp.95-100
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    • 2009
  • This study was conducted to develop an imaging processing system of inoculation processing of a lily callus. The image processing system was composed of a camera, a image processing board, and etc. And the illuminance always decided by setting up 55W/3 wavelength lamp respectively on all aspects and the side was maintained by the lighting part. The image characteristic was examined according to each frame of RGB,therefore the culture vessel was able to be separated with B frame. The required time was 2.2 seconds in one cycle from the image acquisition to obtaining the result. The recognition rate of the container was 100%, and the result of image processing showed that the recognition success rate of lily callus was 93%.