We describe the results of a randomized controlled trial of video-streaming algorithms for
bitrate selection and network prediction. Over the last year, we have streamed 38.6 years of …

Learning-based Adaptive Bit Rate~(ABR) method, aiming to learn outstanding strategies
without any presumptions, has become one of the research hotspots for adaptive streaming …

Recent years have witnessed the dramatic growth of Internet video traffic, where the video
bitstreams are often compressed and delivered in low quality to fit the streamer's uplink …

Existing Adaptive Bitrate (ABR) algorithms pick future video chunks' bitrates via fixed rules or
offline trained models to ensure good quality of experience (QoE) for Internet video …

ABR algorithms dynamically select the bitrate of chunks based on the network capacity. To
estimate the network capacity, most ABR algorithms use throughput prediction while recent …

Delivering videos under less-than-ideal network conditions without compromising end-
users' quality of experiences is a hard problem. Virtually all prior work follow a piecemeal …

In September 2020, the Consumer Technology Association (CTA) published the CTA-5004:
Common Media Client Data (CMCD) specification. Using this specification, a media client …

Streaming videos over cellular networks is highly challenging. Since cellular data is a
relatively scarce resource, many video and network providers offer options for users to …

Adaptive bitrate streaming (ABR) has become the de facto technique for video streaming
over the Internet. Despite a flurry of techniques, achieving high quality ABR streaming over …

Video traffic has experienced an exponential increase in current years due to the growing
ubiquity of mobile equipment and the constant network improvement. Most commercial …