• Title/Summary/Keyword: real-time broadcast

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Multiple GPU Scheduling for Improved Acquisition of Real-Time 360 VR Game Video (실시간 360 VR 스테레오 게임 영상 획득 성능 개선을 위한 다중 GPU 스케줄링에 관한 연구)

  • Lee, Junsuk;Paik, Joonki
    • Journal of Broadcast Engineering
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    • v.24 no.6
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    • pp.974-982
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    • 2019
  • Real-time 360 VR (Virtual Reality) stereo image acquisition technique based on game engine was proposed. However, GPU (Graphics Processing Unit) resource is not fully utilized due to bottlenecks. In this paper, we propose an improved GPU scheduling technique to solve the bottleneck of the existing technique and measure the performance of the proposed technique using the sample games of the commercial game engine. As a result, proposed technique showed an improvement of performance up to 70% and usage of GPU resources more evenly compared existing technique.

Real-Time Compressed Video Acquisition System for Stereo 360 VR (Stereo 360 VR을 위한 실시간 압축 영상 획득 시스템)

  • Choi, Minsu;Paik, Joonki
    • Journal of Broadcast Engineering
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    • v.24 no.6
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    • pp.965-973
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    • 2019
  • In this paper, Stereo 4K@60fps 360 VR real-time video capture system which consists of video stream capture, video encoding and stitching module is been designed. The system captures stereo 4K@60fps 360 VR video by stitching 6 of 2K@60fps stream which are captured through HDMI interface from 6 cameras in real-time. In video capture phase, video is captured from each camera using multi-thread in real-time. In video encoding phase, raw frame memory transmission and parallel encoding are used to reduce the resource usage in data transmission between video capture and video stitching modules. In video stitching phase, Real-time stitching is secured by stitching calibration preprocessing.

A Compensation of Linear Distortion for Loudspeaker Using the Adaptive Digital Filter (적응 디지탈 필터를 이용한 확성용 스피커의 선형 왜곡 보상)

  • 전희영;차일환
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1995.06a
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    • pp.165-170
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    • 1995
  • In this paper, it is attempted to apply the adaptive digital signal processing to compensate for a linear distortion of a loudspeaker and implement a real time hardware for that purpose. The real time system is implemented by using the DSP56001, a general purpose signal processor, as a host processor and the DSP56200, a cascadable adaptive FIR filter peripheral chip, as an adaptive digital filter. The system has 1000 taps at a 44.1kHz. After inverse modeling of under_compensation_speaker, the system reduces loudspeaker's linear distortions by pre-processing an input audio signal to loudspeaker. The experiment shows satisfactory results; after adaption with white noise as input signal for 60sec, the flat amplitude and linear phase frequency characteristics is found to lie over a wide frequency range of 100Hz to 20kHz.

Adaptive Keyframe and ROI selection for Real-time Video Stabilization (실시간 영상 안정화를 위한 키프레임과 관심영역 선정)

  • Bae, Ju-Han;Hwang, Young-Bae;Choi, Byung-Ho;Chon, Je-Youl
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.11a
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    • pp.288-291
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    • 2011
  • Video stabilization is an important image enhancement widely used in surveillance system in order to improve recognition performance. Most previous methods calculate inter-frame homography to estimate global motion. These methods are relatively slow and suffer from significant depth variations or multiple moving object. In this paper, we propose a fast and practical approach for video stabilization that selects the most reliable key frame as a reference frame to a current frame. We use optical flow to estimate global motion within an adaptively selected region of interest in static camera environment. Optimal global motion is found by probabilistic voting in the space of optical flow. Experiments show that our method can perform real-time video stabilization validated by stabilized images and remarkable reduction of mean color difference between stabilized frames.

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Deep Learning-Based Real-Time Pedestrian Detection on Embedded GPUs (임베디드 GPU에서의 딥러닝 기반 실시간 보행자 탐지 기법)

  • Vien, An Gia;Lee, Chul
    • Journal of Broadcast Engineering
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    • v.24 no.2
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    • pp.357-360
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    • 2019
  • We propose an efficient single convolutional neural network (CNN) for pedestrian detection on embedded GPUs. We first determine the optimal number of the convolutional layers and hyper-parameters for a lightweight CNN. Then, we employ a multi-scale approach to make the network robust to the sizes of the pedestrians in images. Experimental results demonstrate that the proposed algorithm is capable of real-time operation, while providing higher detection performance than conventional algorithms.

Real-Time Transcoding and Advanced Encryption for 360 CCTV Streaming

  • Le, Tuan Thanh;Jeong, JongBeom;Lee, Soonbin;Jang, Dongmin;Ryu, Il-Woong;Ryu, Eun-Seok
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2019.06a
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    • pp.144-146
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    • 2019
  • Recently, according to the rapid development of surveillance information, closed-circuit television (CCTV) has become an indispensable component in security systems. A lot of advanced technologies of encryption and compression are implementing to improve the performance and security levels of the CCTV system. Especially, 360 video CCTV streaming is promising for surveillance without blind areas. However, compared to previous systems, 360 CCTV requires large bandwidth and low latency. Therefore, it requires more efficiently effort to improve the CCTV system performance. In order to meet the demands of 360 CCTV streaming, transcoding is an essential process to enhance the current CCTV system. Moreover, encryption algorithm is also an important priority in security system. In this paper, we propose a real-time transcoding solution in combination with the ARIA and AES algorithms. Experimental results prove that the proposed method has achieved around 195% speed up transcoding compared to FFMPEG libx265 method. Furthermore, the proposed system can handle multiple transcoding sessions simultaneously at high performance for both live 360 CCTV system and existing CCTV system.

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Domestic Production Process of Early Korean Broadcast CG Equipment

  • Nah, So-Mi
    • Journal of Multimedia Information System
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    • v.8 no.4
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    • pp.285-294
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    • 2021
  • The development process of domestic CG (Computer Graphics) needs to be studied by classifying the technical part and the design part. This paper analyzes how early domestic broadcast equipment evolved and focused on what went through the development process. Domestic broadcasting companies have introduced and used overseas equipment and have begun to develop their own technology. The development process of the early domestic production technology of broadcasting stations was classified into Character Generator, On-line Real-Time Graphic and Sport Coder. It was found that the orientation of broadcasting technology was conclusively focused on visualization, with socio-cultural factors acting along with the evolution of hardware and software. This research is meaningful in reorganizing the history of the development process of domestic CG technology in the early days through previous research (primary verification), newspaper articles and news coverage (secondary verification). This paper looks at what is missing by regaining the past of CG, and argues that with the advent of new technologies today, we must develop through appropriate division of roles and collaboration between engineers and designers.

Design and Implementation of IoT Platform-based Digital Twin Prototype (IoT 플랫폼 기반 디지털 트윈 프로토타입 설계 및 구현)

  • Kim, Jeehyeong;Choi, Wongi;Song, Minhwan;Lee, Sangshin
    • Journal of Broadcast Engineering
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    • v.26 no.4
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    • pp.356-367
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    • 2021
  • With the recent development of IoT and artificial intelligence technology, research and applications for optimization of real-world problems by collecting and analyzing data in real-time have increased in various fields such as manufacturing and smart city. Representatively, the digital twin platform that supports real-time synchronization in both directions with the virtual world digitized from the real world has been drawing attention. In this paper, we define a digital twin concept and propose a digital twin platform prototype that links real objects and predicted results from the virtual world in real-time by utilizing the oneM2M-based IoT platform. In addition, we implement an application that can predict accidents from object collisions in advance with the prototype. By performing predefined test cases, we present that the proposed digital twin platform could predict the crane's motion in advance, detect the collision risk, perform optimal controls, and that it can be applied in the real environment.

Storage Manager for Data Broadcast (데이터 방송을 위한 스토리지 매니저)

  • Ko, Sang-Won;Jeon, Je-Min;Won, Jae-Hoon;Kim, Seh-Chang;Kim, Jun-Sun
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.639-642
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    • 2008
  • In this paper, we present the storage manager for digital broadcast environment. Data stream in real-time broadcast environment flows into set-top box continuously but, Given the file-system doesn't consider such characteristics. The storage manager provides reliability and flexibility for digital broadcast in set-top box.

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Development of a DTV RF Signal Capture, Analysis, and Regeneration System

  • Kwon Tae-Hoon;Mok Ha-Kyun;Suh Young-Woo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2003.11a
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    • pp.175-179
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    • 2003
  • In this paper, we developed a DTV RF (Radio frequency) capture, analysis, and regeneration system adapting digital signal processing and high speed hard disk interfacing techniques and analyzed characteristics of captured RF signal. This system can be used in the various field of DTV transmission because this system can capture the receiving real DTV signals and analyze captured RF signals that contain the complex characteristics of the real-world RF environments and regenerate it in a laboratory without the performance degradation. The system can capture and replay the DTV RF signals in real-time on hard disk. Therefore, there is no limit for the amount of captured data with in the installed storage capacity. We can expect various possible applications for this system such as a tool for the development of the receiver performance analysis, design, and analysis for the DTV coverage areas, etc. This system can also be used as RF signal analyzer.

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