HTTP/2-Based Adaptive Streaming of HEVC Video Over 4G/LTE Networks

Hooft, Jeroen van der; Petrangeli, Stefano; Wauters, Tim; Huysegems, Rafael; Alface, Patrice Rondão; Bostoen, Tom; Turck, Filip De

doi:10.1109/lcomm.2016.2601087

Cited by 260 publications

(87 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To better verify the performance of the proposed scheme and make the simulation more realistic, we have conducted simulations using the real-world network traces [9] with/without the perfect knowledge of future network conditions (i.e. bandwidth prediction is 100% correct or partially correct.).…”

Section: B Simulation Resultsmentioning

confidence: 99%

QoE-Driven Coupled Uplink and Downlink Rate Adaptation for 360-Degree Video Live Streaming

Feng

Sun

et al. 2020

IEEE Commun. Lett.

View full text Add to dashboard Cite

360-degree video provides an immersive 360-degree viewing experience and has been widely used in many areas. The 360-degree video live streaming systems involve capturing, compression, uplink (camera to video server) and downlink (video server to user) transmissions. However, few studies have jointly investigated such complex systems, especially the rate adaptation for the coupled uplink and downlink in the 360degree video streaming under limited bandwidth constraints. In this letter, we propose a quality of experience (QoE)-driven 360-degree video live streaming system, in which a video server performs rate adaptation based on the uplink and downlink bandwidths and information concerning each user's real-time field-of-view (FOV). We formulate it as a nonlinear integer programming problem and propose an algorithm, which combines the Karush-Kuhn-Tucker (KKT) condition and branch and bound method, to solve it. The numerical results show that the proposed optimization model can improve users' QoE significantly in comparison with other baseline schemes.

show abstract

Section: B Simulation Resultsmentioning

confidence: 99%

QoE-Driven Coupled Uplink and Downlink Rate Adaptation for 360-Degree Video Live Streaming

Feng

Sun

et al. 2020

IEEE Commun. Lett.

View full text Add to dashboard Cite

show abstract

“…Our final network trace collection consists of the 5 least stable, 5 most stable, and 5 random traces from the Belgium trace collection [9], and 10 in each of those categories from the Norway [20], the Oboe [4] and the FCC datasets 1 . We also use 15 constant bandwidth traces covering the range from 0.3 to 15 Mbps uniformly.…”

Section: Measurement Coveragementioning

confidence: 99%

Understanding Video Streaming Algorithms in the Wild

Licciardello

Grüner

Singla

2020

Passive and Active Measurement

View full text Add to dashboard Cite

While video streaming algorithms are a hot research area, with interesting new approaches proposed every few months, little is known about the behavior of the streaming algorithms deployed across large online streaming platforms that account for a substantial fraction of Internet traffic. We thus study adaptive bitrate streaming algorithms in use at 10 such video platforms with diverse target audiences. We collect traces of each video player's response to controlled variations in network bandwidth, and examine the algorithmic behavior: how risk averse is an algorithm in terms of target buffer; how long does it takes to reach a stable state after startup; how reactive is it in attempting to match bandwidth versus operating stably; how efficiently does it use the available network bandwidth; etc. We find that deployed algorithms exhibit a wide spectrum of behaviors across these axes, indicating the lack of a consensus one-size-fitsall solution. We also find evidence that most deployed algorithms are tuned towards stable behavior rather than fast adaptation to bandwidth variations, some are tuned towards a visual perception metric rather than a bitrate-based metric, and many leave a surprisingly large amount of the available bandwidth unused.

show abstract

“…Xiao et al extend the k-push mechanism to optimize the battery lifetime on mobile devices, by dynamically varying the value of k based on network conditions and power e ciency [19]. van der Hooft et al also investigate the merits of server push for H.265 videos over 4G networks [16]. Segments with a sub-second duration are continuously pushed from the server to the client, in order to reduce the live delay compared to HTTP/1.1-based solutions.…”

Section: Http/2-based Adaptive Streamingmentioning

confidence: 99%

“…We consider two di erent network scenarios. In the rst one, we varied the available bandwidth based on traces collected on a real 4G network [16], to assess the performance of the proposed framework under realistic network conditions. The traces present an average bandwidth equal to 21.8 Mbps (±12.3 Mbps), which is often enough to stream the highest quality.…”

Section: Impact Of Tiling and Predictionmentioning

confidence: 99%

An HTTP/2-Based Adaptive Streaming Framework for 360° Virtual Reality Videos

Petrangeli

Swaminathan

Hosseini

et al. 2017

Proceedings of the 25th ACM International Conference on Multimedia

Self Cite

140

View full text Add to dashboard Cite

Virtual Reality (VR) devices are becoming accessible to a large public, which is going to increase the demand for 360°VR videos. VR videos are often characterized by a poor quality of experience, due to the high bandwidth required to stream the 360°video. To overcome this issue, we spatially divide the VR video into tiles, so that each temporal segment is composed of several spatial tiles. Only the tiles belonging to the viewport, the region of the video watched by the user, are streamed at the highest quality. The other tiles are instead streamed at a lower quality. We also propose an algorithm to predict the future viewport position and minimize quality transitions during viewport changes. The video is delivered using the server push feature of the HTTP/2 protocol. Instead of retrieving each tile individually, the client issues a single push request to the server, so that all the required tiles are automatically pushed back to back. This approach allows to increase the achieved throughput, especially in mobile, high RTT networks. In this paper, we detail the proposed framework and present a prototype developed to test its performance using real-world 4G bandwidth traces. Particularly, our approach can save bandwidth up to 35% without severely impacting the quality viewed by the user, when compared to a traditional non-tiled VR streaming solution. Moreover, in high RTT conditions, our HTTP/2 approach can reach 3 times the throughput of tiled streaming over HTTP/1.1, and consistently reduce freeze time. These results represent a major improvement for the e cient delivery of 360°VR videos over the Internet.

show abstract

HTTP/2-Based Adaptive Streaming of HEVC Video Over 4G/LTE Networks

Cited by 260 publications

References 11 publications

QoE-Driven Coupled Uplink and Downlink Rate Adaptation for 360-Degree Video Live Streaming

QoE-Driven Coupled Uplink and Downlink Rate Adaptation for 360-Degree Video Live Streaming

Understanding Video Streaming Algorithms in the Wild

An HTTP/2-Based Adaptive Streaming Framework for 360° Virtual Reality Videos

Contact Info

Product

Resources

About