Dr. Erfanian researched methods to reduce end-to-end latency and enhance QoE in live ABR streaming. Dr. Çetinkaya developed ML approaches for HTTP adaptive streaming and two new techniques were proposed; FaME-ML and FaRes-ML. QLearning RDO and Esa-net also improved video segment quality by reducing artifacts up to 2.6dB PSNR gain. These methods could be used to optimize resource utilization and ensure high quality streams.
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Testing revealed VR streaming content is sensitive to delivery bandwidth and latency. Network analytics and end-user QoE data can help networks be prepared for XR. Congestion control must be tailored for optimal experience, with our whitepaper available in December 2023.Testing revealed VR streaming content is sensitive to delivery bandwidth and latency. Network analytics and end-user QoE data can help networks be prepared for XR. Congestion control must be tailored for optimal experience, with our whitepaper available in December 2023.
Read MoreStreaming providers are looking for ways to reduce cost and maintain video quality. Your Media Transformation provides streaming optimization solutions and AI compression to achieve savings up to 76%. Zero rating, resolution reducing, dynamic frame rates, content orchestration & motion complexity can result in 68% bandwidth reduction without sacrificing QoE.Streaming providers are looking for ways to reduce cost and maintain video quality. Your Media Transformation provides streaming optimization solutions and AI compression to achieve savings up to 76%. Zero rating, resolution reducing, dynamic frame rates, content orchestration & motion complexity can result in 68% bandwidth reduction without sacrificing QoE.
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> CMCD is an open-spec developed to bridge the gap between client and CDN for better QoE insight. It helps manage bandwidth, troubleshoot errors, reduce rebuffering, and improve streaming performance for viewers. Akamai and Bitmovin have adopted this approach.> CMCD is an open-spec developed to bridge the gap between client and CDN for better QoE insight. It helps manage bandwidth, troubleshoot errors, reduce rebuffering, and improve streaming performance for viewers. Akamai and Bitmovin have adopted this approach.
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The market for technologies to improve streaming video is expected to peak over the next five years, according to a new report from researcher Rethink TV. It predicts the Service Obtainable Market for Embedded QoE Agents will hit $9 billion by 2028, but this strong growth is set to flatten due to pricing drops and a mature OTT video market.
Read MoreTo bridge this gap, we propose ROPL, a learning-based client request management solution at the edge that leverages the power of the recent breakthroughs in deep reinforcement learning, to serve requests of concurrent users...
Read MoreA player has a buffer for the media it plays (actually, it typically has more than a single buffer — at least one for audio and one for video — but let’s keep things simple). The back buffer is the media data that has already...
Read MoreBy applying Dynamic Adaptive Streaming over HTTP (DASH) principles, QoCoVi considers cached video segments on vehicles equipped with storage capacity as the lowest-cost sources for serving requests. In this paper, we present Q...
Read MoreCMCD provides a ‘consolidated’ view of metrics as observed from both the clients (players) and CDNs. Players report a standardized set of QoE tracking data for every CDN request. To deliver an optimal end user experience, we...
Read MoreAdaptive bitrate (ABR) algorithms of players responsible for selecting the quality of the videos face critical challenges in providing a high Quality of Experience (QoE) for end users. Additionally, end users may have different...
Read MoreIn this paper, we leverage the capability of Software-Define Networking (SDN), Network Function Virtualization (NFV), and edge computing to introduce a CDN-Aware QoE Optimization in SDN-Assisted Adaptive Video Streaming...
Read MoreAbstract: Mobile networks equipped with edge computing nodes enable access to information that can be leveraged to assist client-based adaptive bitrate (ABR) algorithms in making better adaptation decisions to improve both...
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