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[Author] Hung T. LE(4hit)

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  • Seamless Mobile Video Streaming over HTTP/2 with Gradual Quality Transitions

    Hung T. LE  Thang VU  Nam PHAM NGOC  Anh T. PHAM  Truong Cong THANG  

     
    PAPER-Multimedia Systems for Communications

      Pubricized:
    2016/11/16
      Vol:
    E100-B No:5
      Page(s):
    901-909

    HTTP Adaptive Streaming (HAS) has become a popular solution for media delivery over the mobile Internet. However, existing HAS systems are based on the pull-based HTTP/1.1 protocol, leading to high overheads (e.g., in terms of energy, processing, bandwidth) for clients, servers, as well as network nodes. The new HTTP/2 protocol provides a server push feature, which allows the client to receive more than one video segment for each request in order to reduce request-related overheads. In this study, we propose an adaptation method to leverage the push feature of HTTP/2. Our method takes into account not only the request-related overhead but also buffer stability and gradual transitions. The experimental results show that our proposed method performs well under strong throughput variations of mobile networks.

  • Quality Improvement for Video On-Demand Streaming over HTTP

    Huyen T. T. TRAN  Hung T. LE  Nam PHAM NGOC  Anh T. PHAM  Truong Cong THANG  

     
    LETTER

      Pubricized:
    2016/10/07
      Vol:
    E100-D No:1
      Page(s):
    61-64

    It is crucial to provide Internet videos with the best possible content value (or quality) to users. To adapt to network fluctuations, existing solutions provide various client-based heuristics to change video versions without considering the actual quality. In this work, we present for the first time the use of a quality model in making adaptation decisions to improve the overall quality. The proposed method also estimates the buffer level in the near future to prevent the client from buffer underflows. Experiment results show that the proposed method is able to provide high and consistent video quality under strongly fluctuating bandwidths.

  • A Probabilistic Adaptation Method for HTTP Low-Delay Live Streaming over Mobile Networks

    Hung T. LE  Nam PHAM NGOC  Anh T. PHAM  Truong Cong THANG  

     
    LETTER-Image Processing and Video Processing

      Pubricized:
    2016/11/09
      Vol:
    E100-D No:2
      Page(s):
    379-383

    The study focuses on the adaptation problem for HTTP low-delay live streaming over mobile networks. In this context, the client's small buffer could be easily underflown due to throughput variations. To maintain seamless streaming, we present a probabilistic approach to adaptively decide the bitrate for each video segment by taking into account the instant buffer level. The experimental results show that the proposed method can significantly reduce buffer underflows while providing high video bitrates.

  • An Efficient Server Push Approach for On-Demand Video Streaming Over HTTP/2

    Thoa NGUYEN  Nguyen Hai DANG  Nguyen MINH  Nam Pham NGOC  Hung T. LE  Truong Cong THANG  

     
    PAPER-Multimedia Systems for Communications

      Pubricized:
    2018/05/22
      Vol:
    E101-B No:11
      Page(s):
    2371-2379

    Video streaming over HTTP/2 is a new trend in multimedia delivery. Compared to the pull-based HTTP/1.1 protocol, the new HTTP/2 protocol's Server Push feature is very effective in reducing the overheads (e.g., in terms of energy, processing, bandwidth) for clients, servers, and network nodes. This paper presents an HTTP/2 push-based adaptation method for on-demand video streaming that reduces the number of requests and provides high video quality. In our method, for each client request, the server sends video segments continuously until it receives another client request with a new quality. Since a request is sent only if the client wants to update the video bitrate, our method can significantly reduce the request related overhead. For this context, a buffer based algorithm is proposed to provide high and smooth video quality while avoiding buffer underflows. Experiments show that the proposed method can provide a lower number of requests, higher average quality and better quality smoothness than existing methods.