Quality of Experience Assessment for HTTP Based Adaptive Video Streaming
The expected optimal outcome of users' video quality requirements should be the best Quality of Experience (QoE). Integrating and evaluating QoE in a video streaming system is a rather complex process that requires a comprehensive design of subjective ...
ARSENOVIC, M., RIMAC-DRLJE, S.
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SDN Assisted Codec, Path and Quality Selection for HTTP Adaptive Streaming
Adaptive streaming over HTTP is the dominant video streaming technology for more than a decade. HTTP Adaptive Streaming (HAS) systems provide a framework which enables clients to adapt quality with respect to network fluctuations during streaming, hence ...
Reza Shokri Kalan, Muge Sayit
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LLL-CAdViSE: Live Low-Latency Cloud-Based Adaptive Video Streaming Evaluation Framework
Live media streaming is a challenging task by itself, and when it comes to use cases that define low-latency as a must, the complexity will rise multiple times.
Babak Taraghi +2 more
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Redirection and protocol techniques are key components of the infrastructure for Content Delivery Networks (CDNs) that aid in the delivery of Multimedia Internet services to end-consumers.
Miran Taha, Aree Ali
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Network-Based Video Quality Assessment for Encrypted HTTP Adaptive Streaming
End-to-end encryption brings new challenges for mobile network operators to obtain key quality indicators (KQIs) of the HTTP adaptive streaming (HAS), which are vital for quality of experience (QoE) of the end users.
Shuang Tang, Xiaowei Qin, Guo Wei
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Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning
HTTP Adaptive Streaming (HAS) is the de-facto solution for video delivery over the Internet. In HAS, each video is encoded at multiple quality levels and resolutions (i.e., representations) to enable adaptation of the streaming session to viewing and ...
Ekrem Cetinkaya +3 more
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Dynamic Block-Based HTTP Adaptive Streaming Scheme in Multiple Wireless Networks
Multipath-based hypertext transfer protocol (HTTP) adaptive streaming (MPHAS) has been studied due to the increasing use of mobile devices equipped with multiple network interfaces and the prevalence of high-quality video streaming services. However, the
Mingu Hwang, Jinho Park, Kwangsue Chung
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Uplink vs. Downlink: Machine Learning-Based Quality Prediction for HTTP Adaptive Video Streaming
Streaming video is responsible for the bulk of Internet traffic these days. For this reason, Internet providers and network operators try to make predictions and assessments about the streaming quality for an end user.
Frank Loh +4 more
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Intelligent synthesis mechanism for deriving streaming priorities of multimedia content [PDF]
We address the problem of integrating user preferences with network quality of service parameters for the streaming of media content, and suggest protocol stack configurations that satisfy user and technical requirements to the best available degree. Our
Siamitros, C. +2 more
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Reinforcement Learning-Based Adaptive Streaming Scheme with Edge Computing Assistance
Dynamic Adaptive Streaming over HTTP (DASH) is a promising scheme for improving the Quality of Experience (QoE) of users in video streaming. However, the existing schemes do not perform coordination among clients and depend on fixed heuristics.
Minsu Kim, Kwangsue Chung
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