A growing number of video streaming networks are incorporating machine learning (ML)
applications. The growth of video streaming services places enormous pressure on network …

Demand for wireless video streaming services increases with users expecting to access
high-quality video streaming experiences. Ensuring Quality of Experience (QoE) is quite …

Our earlier Low-on-Latency (dubbed as LoL) solution offered an accurate bandwidth
prediction and rate adaptation algorithm tailored for live streaming applications that targeted …

Achieving low-latency is paramount for live streaming scenarios, that are now-days
becoming increasingly popular. In this paper, we propose a novel algorithm for bitrate …

Live streaming remains a challenge in the adaptive streaming space due to the stringent
requirements for not just quality and rebuffering, but also latency. Many solutions have been …

With the recent growth of multimedia traffic over the Internet and emerging multimedia
streaming service providers, improving Quality of Experience (QoE) for HTTP Adaptive …

With the exponential rise in the development, deployment and use of Internet applications in
recent years, communication paradigms are continuously flooded with unmatched …

While most of the HTTP adaptive streaming (HAS) traffic continues to be video-on-demand
(VoD), more users have started generating and delivering live streams with high quality …

The adaptive bitrate (ABR) algorithm plays a crucial role in ensuring satisfactory quality of
experience (QoE) in video streaming applications. Most existing approaches, either rule …

As video traffic continues to dominate the Internet, interest in near-second low-latency
streaming has increased. Existing low-latency streaming platforms rely on using tens of …