• 제목/요약/키워드: Video Streaming System

검색결과 277건 처리시간 0.025초

A Study on Projection Conversion for Efficient 3DoF+ 360-Degree Video Streaming

  • Jeong, Jong-Beom;Lee, Soonbin;Jang, Dongmin;Kim, Sungbin;Lee, Sangsoon;Ryu, Eun-Seok
    • 방송공학회논문지
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    • 제24권7호
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    • pp.1209-1220
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    • 2019
  • The demand for virtual reality (VR) is rapidly increasing. Providing the immersive experience requires much operation and many data to transmit. For example, a 360-degree video (360 video) with at least 4K resolution is needed to offer an immersive experience to users. Moreover, the MPEG-I group defined three degrees of freedom plus (3DoF+), and it requires the transmission of multiview 360 videos simultaneoulsy. This could be a burden for the VR streaming system. Accordingly, in this work, a bitrate-saving method using projection conversion is introduced, along with experimental results for streaming 3DoF+ 360 video. The results show that projection conversion of 360 video with 360lib shows a Bjontegaard delta bitrate gain of as much as 11.4%.

Queueing Theoretic Approach to Playout Buffer Model for HTTP Adaptive Streaming

  • Park, Jiwoo;Chung, Kwangsue
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권8호
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    • pp.3856-3872
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    • 2018
  • HTTP-based adaptive streaming (HAS) has recently been widely deployed on the Internet. In the HAS system, a video content is encoded at multiple bitrates and the encoded video content is segmented into small parts of fixed durations. The HAS client requests a video segment and stores it in the playout buffer. The rate adaptation algorithm employed in HAS clients dynamically determines the video bitrate depending on the time-varying bandwidth. Many studies have shown that an efficient rate adaptation algorithm is critical to ensuring quality-of-experience in HAS systems. However, existing algorithms have problems estimating the network bandwidth because bandwidth estimation is performed on the client-side application stack. Without the help of transport layer protocols, it is difficult to achieve accurate bandwidth estimation due to the inherent segment-based transmission of the HAS. In this paper, we propose an alternative approach that utilizes the playout buffer occupancy rather than using bandwidth estimates obtained from the application layer. We start with a queueing analysis of the playout buffer. Then, we present a buffer-aware rate adaptation algorithm that is solely based on the mean buffer occupancy. Our simulation results show that compared to conventional algorithms, the proposed algorithm achieves very smooth video quality while delivering a similar average video bitrate.

MOPSO-based Data Scheduling Scheme for P2P Streaming Systems

  • Liu, Pingshan;Fan, Yaqing;Xiong, Xiaoyi;Wen, Yimin;Lu, Dianjie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권10호
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    • pp.5013-5034
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    • 2019
  • In the Peer-to-Peer (P2P) streaming systems, peers randomly form a network overlay to share video resources with a data scheduling scheme. A data scheduling scheme can have a great impact on system performance, which should achieve two optimal objectives at the same time ideally. The two optimization objectives are to improve the perceived video quality and maximize the network throughput, respectively. Maximizing network throughput means improving the utilization of peer's upload bandwidth. However, maximizing network throughput will result in a reduction in the perceived video quality, and vice versa. Therefore, to achieve the above two objects simultaneously, we proposed a new data scheduling scheme based on multi-objective particle swarm optimization data scheduling scheme, called MOPSO-DS scheme. To design the MOPSO-DS scheme, we first formulated the data scheduling optimization problem as a multi-objective optimization problem. Then, a multi-objective particle swarm optimization algorithm is proposed by encoding the neighbors of peers as the position vector of the particles. Through extensive simulations, we demonstrated the MOPSO-DS scheme could improve the system performance effectively.

MPEG-4 표준을 이용한 멀티미디어 스트리밍 시스템 구현 (Implementation of A Multimedia Streaming System using MPEG-4)

  • 임동근;이정우;김선태;마평수;호요성
    • 방송공학회논문지
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    • 제6권3호
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    • pp.215-224
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    • 2001
  • 최근 멀티미디어 분야의 연구개발 동향은 주로 비디오와 오디오 신호의 개별적인 부호화에 치중하던 이전의 기술적 동향에서 벗어나, 비디오, 오디오, 텍스트 등과 같은 여러 종류의 신호에 대하여 시간상 동기일치를 고려하여 다중화하는 시스템 기술의 중요성이 더욱 증가하고 있다. MPEG-4 영상압축 표준은 영상의 내용에 대한 이해를 바탕으로 내용기반 부호화에 중점을 두고 있다. 이 내용기반 부호화에서는 각 미디어 데이터 자체를 개체 단위로 나누어 처리할 수 있기 때문에 사용자의 의도에 따라 다양한 형태의 조작과 디스플레이가 가능하며 그 응용 분야가 매우 넓다. 본 논문에서는 MPEG-4 표준의 시스템 규격과 파일 포맷에 따라 구현된 멀티미디어 서비스 시스템을 기술하였다. 구현된 기술은 멀티미디어 데이터의 스트리밍, DVD, 영상전자메일, 디지털 방송과 같은 다양한 멀티미디어 서비스에 응용될 수 있는 기반 기술로서 그 중요성을 가진다.

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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.

A Cost-Effective Rate Control for Streaming Video for Wireless Portable Devices

  • Hong, Youn-Sik;Park, Hee-Min
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권6호
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    • pp.1147-1165
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    • 2011
  • We present a simple and cost effective rate control scheme for streaming video over a wireless channel by using the information of mobile devices' buffer level. To prevent buffer fullness and emptiness at receivers, the server should be able to adjust sending rate according to receivers' buffer status. We propose methods to adjust sending rate based on the buffer level and discrete derivative of the buffer occupancy. To be compatible with existing network protocols, we provide methods to adjust sending rate by changing the inter-packet delay (IPD) at the server side. At every round-trip time, adjustments of sending rate are made in order to achieve responsiveness to sudden changes of buffer availabilities. A series of simulations and the prototype system showed that the proposed methods did not cause buffer overflows and it can maintain smoother rate control and react to bandwidth changes promptly.

DRM 기반 MP4 스트리밍을 위한 비디오 암호화 알고리즘에 관한 연구 (A Study on Video Encryption Algorithm for DRM-based MP4 Streaming)

  • 김정현;윤기송;전경표
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2003년도 춘계종합학술대회논문집
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    • pp.218-222
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    • 2003
  • Internet의 발달로 사람들은 정보를 쉽게 얻을 수 있을 뿐만 아니라 교환하고 유통할 수 있게 됨에 따라 컨텐츠 불법복제 문제를 야기 시키고 이로 인해 저작권 보호에 대한 관심이 높아지고 있다. VOD(Video On Demand)와 인터넷 방송과 같은 멀티미디어 상거래 또한 사용 권리를 가진 사용자만이 컨텐츠에 접근하고 이용할 수 있어야 한다. 본 논문에서는 MP4 기반 스트리밍 서비스 모델에 적용할 수 있는 DRM(Digital Rights Management) 시스템을 제시하여 이 DRM 시스템에 적용할 수 있는 MP4 암호화 알고리즘을 제안한다.

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RGB 비디오 데이터를 이용한 Slowfast 모델 기반 이상 행동 인식 최적화 (Optimization of Action Recognition based on Slowfast Deep Learning Model using RGB Video Data)

  • 정재혁;김민석
    • 한국멀티미디어학회논문지
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    • 제25권8호
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    • pp.1049-1058
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    • 2022
  • HAR(Human Action Recognition) such as anomaly and object detection has become a trend in research field(s) that focus on utilizing Artificial Intelligence (AI) methods to analyze patterns of human action in crime-ridden area(s), media services, and industrial facilities. Especially, in real-time system(s) using video streaming data, HAR has become a more important AI-based research field in application development and many different research fields using HAR have currently been developed and improved. In this paper, we propose and analyze a deep-learning-based HAR that provides more efficient scheme(s) using an intelligent AI models, such system can be applied to media services using RGB video streaming data usage without feature extraction pre-processing. For the method, we adopt Slowfast based on the Deep Neural Network(DNN) model under an open dataset(HMDB-51 or UCF101) for improvement in prediction accuracy.

The Effectiveness of Streaming Video with Web Based Text in Online Course: Comparative Study on Three Types of Online Instruction for Korean College Students

  • HEO, JeongChul;HAN, Su-Mi
    • Educational Technology International
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    • 제14권1호
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    • pp.1-26
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    • 2013
  • This study is to identify whether three types of online instruction (text-based, video-based, and video-based instruction without text) and age category have a different influence on students' comprehension and motivation. Online students were randomly assigned to one of six groups, and they attended two-week online lectures via Course Management System. The comprehension test and the short form of IMMS were implemented when 114 participants accomplished two-week online lectures. The results revealed that using instructional video in online instruction is more effective instructional medium than text only in order to promote learner's motivation. Besides, older adults aged 41-60 are significantly different from younger adults (21-40 years old) in terms of students' comprehension. Furthermore, three types of online instructions are likely to be influenced by age category.

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.