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MDC adaptive video streaming [PDF]

open access: yes, 2021
Multiple Description Coding (MDC) is designed for multiple path video streaming with channel diversities. In this thesis, we investigate the performance of multi-path video streaming using the MDC technique. The MDC frame loss rate is one of the indicators of the real time video quality.
openaire   +1 more source

A Review of Learning-Based Methods for Adaptive Video Streaming Over HTTP

open access: yesIEEE Access
Adaptive video streaming offers enhanced Quality of Experience (QoE) by dynamically adjusting the video quality to match network conditions and device capabilities. However, employing effective video streaming systems is becoming more challenging as user
Hala Amer   +2 more
doaj   +1 more source

A Fuzzy-Based Adaptive Streaming Algorithm for Reducing Entropy Rate of DASH Bitrate Fluctuation to Improve Mobile Quality of Service

open access: yesEntropy, 2017
Dynamic adaptive streaming over Hypertext Transfer Protocol (HTTP) is an advanced technology in video streaming to deal with the uncertainty of network states.
Linh Van Ma   +4 more
doaj   +1 more source

EmuStream—An End-to-End Platform for Streaming Video Performance Measurement

open access: yesIEEE Access, 2020
Cord-cutting has spread like wildfire as streaming video become commonplace in the Internet. This motivated intensive research in adaptive video streaming to improve its quality-of-experience (QoE) in the presence of network quality variations.
Guanghui Zhang   +2 more
doaj   +1 more source

Content-adaptive Video Coding for HTTP Adaptive Streaming

open access: yes, 2023
In today’s dynamic streaming landscape, where viewers access content on various devices and encounter fluctuating network conditions, optimizing video delivery for each unique scenario is imperative. Video content complexity analysis, content-adaptive video coding, and multi-encoding methods are fundamental for the success of adaptive video streaming ...
openaire   +2 more sources

An Enhanced Method for Objective QoE Analysis in Adaptive Streaming Services

open access: yesIEEE Access
Evaluating Quality of Experience (QoE) is crucial for multimedia services, as it measures user satisfaction with content delivery. This paper presents an objective method for evaluating QoE in adaptive streaming services, using the commercial tool Video ...
Sofia Ortiz-Arce   +3 more
doaj   +1 more source

FAURAS: A Proxy-Based Framework for Ensuring the Fairness of Adaptive Video Streaming over HTTP/2 Server Push

open access: yesApplied Sciences, 2020
HTTP/2 video streaming has gotten a lot of attention in the development of multimedia technologies over the last few years. In HTTP/2, the server push mechanism allows the server to deliver more video segments to the client within a single request in ...
Chanh Minh Tran   +3 more
doaj   +1 more source

Joint Caching and User Association Optimization for Adaptive Bitrate Video Streaming in UAV-Assisted Cellular Networks

open access: yesIEEE Access, 2022
Edge caching and adaptive bitrate video streaming are two promising techniques to ensure a good video viewing experience. Edge caching can bring contents closer to users to alleviate redundant content transmissions, reduce user-perceived delay and ...
Junfeng Xie, Zhaoba Wang, Youxing Chen
doaj   +1 more source

QoE Assessment of Encrypted YouTube Adaptive Streaming for Energy Saving in Smart Cities

open access: yesIEEE Access, 2018
Video streaming has become one of the most prevalent mobile applications and uses a substantial portion of the traffic on mobile networks today. With the limited bandwidth of mobile networks, understanding the user perception of the quality (i.e ...
Wubin Pan, Guang Cheng
doaj   +1 more source

ANFIS-based rate adaptation scheme for adaptive streaming over HTTP

open access: yesEURASIP Journal on Wireless Communications and Networking, 2018
Recently, HTTP-based video streaming traffic has continued to increase. Therefore, video service providers have been using HTTP-based adaptive streaming (HAS) technology to reduce the traffic load of the HTTP server.
Ye Seul Son, Hyun Jun Kim, Joon Tae Kim
doaj   +1 more source

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