• 제목/요약/키워드: Multi-Channel Streaming

검색결과 27건 처리시간 0.028초

다중 SNS 채널 자동 스트리밍 서버의 RELAY 모듈 설계 (The RELAY Module Design of Multi SNS Channel Auto Streaming Server)

  • 안희학;이대식
    • 디지털산업정보학회논문지
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    • 제13권4호
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    • pp.213-219
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    • 2017
  • Streaming server is that an image produced in real time or a file form of image produced ahead consists of SNS service, and the relay module of streaming server includes output management module that set an output channel more than 2 and control transmission of video content. This thesis intends to suggest how to stream through plural output channel that contains output channel of external streaming server using relay module and do streaming provided to terminal receiving image, and streaming server, streaming system for this. Thus, by extending output channel sending out image to output channel of external streaming server, the scale of streaming server is not limited and the process allotting external streaming server into output channel sending the image becomes simple, so management of output channel becomes efficient even when sending several images.

Multi-Streaming Internet Radio Platform 설계방안에 대한 연구 (A Study of Method Multi-Streaming Internet Radio Platform Design Method)

  • 김종덕;김영길
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2009년도 춘계학술대회
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    • pp.105-107
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    • 2009
  • 본 논문에서는 대형 매장 혹은 임의의 공간과 공간사이에 다른 뮤직콘텐츠를 필요로 할 때 이를 해결해 줄 수 있는 멀티 스트리밍 플랫폼에 대해 연구한다. 사용자의 인터넷 사용을 겸하기 위해 NAT를 구성하고, Multi-Channel Connection을 위한 Application 설계방법과 그에 따른 Multi Stream을 위한 Hardware Path를 구현하는 방법을 제안한다.

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지상 전투 차량을 위한 다채널 영상 스트리밍 시스템의 회전 구동 대비 품질과 압축 대비 지연 분석 (Rotational Drive-Versus-Quality and Video Compression-Versus-Delay Analysis for Multi-Channel Video Streaming System on Ground Combat Vehicles)

  • 윤지혁;조영걸;장혜민
    • 한국군사과학기술학회지
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    • 제24권1호
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    • pp.31-40
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    • 2021
  • The multi-channel video streaming system is an essential device for future ground combat vehicles. For the system, the application of digital interfaces is required instead of the direct analog method to support selectable multiple channels. However, due to the characteristics of the digital interfaces that require en/decoding and signal conversion, the system should support the ability to adapt to quality and delay requirements depending on how video data is utilized. To support addressed issue, this study designs and emulates the multi-channel compressed-video streaming system of ground combat vehicle's fire control system based on commercial standards. Using the system, this study analyzes the quality of video according to the rotational speed of the acquisition device and Glass-to-Glass (G2G) delay between video acquisition and display devices according to video compression rates. Through these experiments and analysis, this paper presents the design direction of the system having scalability on the latest technology while providing high-quality video data streaming flexibly.

MUVIS: Multi-Source Video Streaming Service over WLANs

  • Li Danjue;Chuah Chen-Nee;Cheung Gene;Yoo S. J. Ben
    • Journal of Communications and Networks
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    • 제7권2호
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    • pp.144-156
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    • 2005
  • Video streaming over wireless networks is challenging due to node mobility and high channel error rate. In this paper, we propose a multi-source video streaming (MUVIS) system to support high quality video streaming service over IEEE 802.1l-based wireless networks. We begin by collocating a streaming proxy with the wireless access point to help leverage both the media server and peers in the WLAN. By tracking the peer mobility patterns and performing content discovery among peers, we construct a multi-source sender group and stream video using a rate-distortion optimized scheme. We formulate such a multi-source streaming scenario as a combinatorial packet scheduling problem and introduce the concept of asynchronous clocks to decouple the problem into three steps. First, we decide the membership of the multisource sender group based on the mobility pattern tracking, available video content in each peer and the bandwidth each peer allocates to the multi-source streaming service. Then, we select one sender from the sender group in each optimization instance using asynchronous clocks. Finally, we apply the point-to-point rate-distortion optimization framework between the selected sender-receiver pair. In addition, we implement two different caching strategies, simple caching simple fetching (SCSF) and distortion minimized smart caching (DMSC), in the proxy to investigate the effect of caching on the streaming performance. To design more realistic simulation models, we use the empirical results from corporate wireless networks to generate node mobility. Simulation results show that our proposed multi-source streaming scheme has better performance than the traditional server-only streaming scheme and that proxy-based caching can potentially improve video streaming performance.

Optimizing the Joint Source/Network Coding for Video Streaming over Multi-hop Wireless Networks

  • Cui, Huali;Qian, Depei;Zhang, Xingjun;You, Ilsun;Dong, Xiaoshe
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권4호
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    • pp.800-818
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    • 2013
  • Supporting video streaming over multi-hop wireless networks is particularly challenging due to the time-varying and error-prone characteristics of the wireless channel. In this paper, we propose a joint optimization scheme for video streaming over multi-hop wireless networks. Our coding scheme, called Joint Source/Network Coding (JSNC), combines source coding and network coding to maximize the video quality under the limited wireless resources and coding constraints. JSNC segments the streaming data into generations at the source node and exploits the intra-session coding on both the source and the intermediate nodes. The size of the generation and the level of redundancy influence the streaming performance significantly and need to be determined carefully. We formulate the problem as an optimization problem with the objective of minimizing the end-to-end distortion by jointly considering the generation size and the coding redundancy. The simulation results demonstrate that, with the appropriate generation size and coding redundancy, the JSNC scheme can achieve an optimal performance for video streaming over multi-hop wireless networks.

Real-time multi-GPU-based 8KVR stitching and streaming on 5G MEC/Cloud environments

  • Lee, HeeKyung;Um, Gi-Mun;Lim, Seong Yong;Seo, Jeongil;Gwak, Moonsung
    • ETRI Journal
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    • 제44권1호
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    • pp.62-72
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    • 2022
  • In this study, we propose a multi-GPU-based 8KVR stitching system that operates in real time on both local and cloud machine environments. The proposed system first obtains multiple 4 K video inputs, decodes them, and generates a stitched 8KVR video stream in real time. The generated 8KVR video stream can be downloaded and rendered omnidirectionally in player apps on smartphones, tablets, and head-mounted displays. To speed up processing, we adopt group-of-pictures-based distributed decoding/encoding and buffering with the NV12 format, along with multi-GPU-based parallel processing. Furthermore, we develop several algorithms such as equirectangular projection-based color correction, real-time CG overlay, and object motion-based seam estimation and correction, to improve the stitching quality. From experiments in both local and cloud machine environments, we confirm the feasibility of the proposed 8KVR stitching system with stitching speed of up to 83.7 fps for six-channel and 62.7 fps for eight-channel inputs. In addition, in an 8KVR live streaming test on the 5G MEC/cloud, the proposed system achieves stable performances with 8 K@30 fps in both indoor and outdoor environments, even during motion.

Resource Efficient AI Service Framework Associated with a Real-Time Object Detector

  • Jun-Hyuk Choi;Jeonghun Lee;Kwang-il Hwang
    • Journal of Information Processing Systems
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    • 제19권4호
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    • pp.439-449
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    • 2023
  • This paper deals with a resource efficient artificial intelligence (AI) service architecture for multi-channel video streams. As an AI service, we consider the object detection model, which is the most representative for video applications. Since most object detection models are basically designed for a single channel video stream, the utilization of the additional resource for multi-channel video stream processing is inevitable. Therefore, we propose a resource efficient AI service framework, which can be associated with various AI service models. Our framework is designed based on the modular architecture, which consists of adaptive frame control (AFC) Manager, multiplexer (MUX), adaptive channel selector (ACS), and YOLO interface units. In order to run only a single YOLO process without regard to the number of channels, we propose a novel approach efficiently dealing with multi-channel input streams. Through the experiment, it is shown that the framework is capable of performing object detection service with minimum resource utilization even in the circumstance of multi-channel streams. In addition, each service can be guaranteed within a deadline.

NETWORK-ADAPTIVE ERROR CONTROL FOR VIDEO STREAMING OVER WIRELESS MULTI-HOP NETWORKS

  • Bae, Jung-Tae;Kim, Jong-Won
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.385-389
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    • 2009
  • Multi-hop wireless mesh networks (WMNs) suffer from significant packet losses due to insufficient available bandwidth and high channel error probability. To conquer packet losses, end-to-end (E2E) error control schemes have been proposed. However, in WMNs, E2E error control schemes are not effective in adapting to the time-varying network condition due to large delay. Thus, in this paper, we propose a network-adaptive error control for video streaming over WMNs that flexibly operates E2E and hop-by-hop (HbH) error control according to network condition. Moreover, to provide lightweight support at intermediate nodes for HbH error control, we use path-partition-based adaptation. To verify the proposed scheme, we implement it and evaluate its transport performance through MPEG-2 video streaming over a real IEEE 802.11a-based WMN testbed.

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광채널 기반의 네트워크-스토리지 스트리밍 가속 장치 (Network-Storage Streaming Accelerator Using Fibre Channel)

  • 석성우;김학영;이철훈
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.767-768
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    • 2008
  • Fibre channel based Network-Storage Streaming Accelerator is implemented in this paper. By using Fibre Channel as interface for storage device and sharing storage device among the accelerators, waste of storage space is eliminated. And By using Multi link of Fibre Channels, the load of I/O operations can be distributed over all available links and I/O operations can be conducted even if some links were failed.

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무선 멀티 홉 비디오 스트리밍을 위한 모니터링 기반의 네트워크 적응적 FEC 코디네이션 (Monitoring-based Coordination of Network-adaptive FEC for Wireless Multi-hop Video Streaming)

  • 최고;유재용;김종원
    • 한국통신학회논문지
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    • 제36권2A호
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    • pp.114-126
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    • 2011
  • 무선멀티홉네트워크(WMNs)는 무선 채널의 페이딩 및 가변적인 대역폭에 의해 패킷 손실 및 전송 지연에 의해 비디오 스트리밍의 성능이 저하된다. 고품질의 비디오 스트리밍의 성능을 보장하기 위해 FEC (Forward Error Correction) 기반의 네트워크 적응적인 비디오 스트리밍 기법이 제안되어 왔다. 종단간 FEC와 홉간의 FEC 기법 등을 사용하는 기존 네트워크 적응 기법들은 제한적인 모니터링 정보에 기반 하므로 스트리밍 경로의 전체적인 상태를 반영하기 힘들다. 본 논문에서는 WMNs 환경에서 모니터링 기반의 네트워크 적응적 FEC 코디네이션을 이용하여 모니터링을 통해 경로 전체의 네트워크 상태를 판별한 후 적응적으로 특정 홉으로부터 종단까지 제어하는 H2E(hop-to-end) FEC 기법을 제안한다. H2E-FEC 기법은 FEC의 시작노드와 중복도(redundancy)를 네트워크 상태에 따라 적절히 결정해야 하며, 이를 위해 중앙집중형 코디네이터를 활용해 획득한 정확한 모니터링 정보를 바탕으로 H2E-FEC를 위한 코디네이션을 적용한다. 제안된 기법은 OMF(Orbit Measurement Framework) 기반의 WMN 테스트베드에서 다수의 실험을 통해 검증하며, 강압적인 네트워크 환경에서 H2E-FEC가 기존의 E2E 및 HbH-FEC 기법에 비해 패킷 복구율 및 전송 지연 시간에 의한 복잡성에서 높은 성능을 나타낸다. 구축된 테스트베드 환경에서 코디네이터를 적용한 후 E2E-FEC 기법에 비해 패킷 복구율이 약 17% 향상됨을 보인다.