Evaluation of Adaptive Bitrate Selection Algorithms for MPEG DASH

Vlaovic, Jelena; Rimac-Drlje, Snježana; Vranješ, Filip; Kovac, Robert Peckai

doi:10.1109/elmar.2019.8918862

Cited by 4 publications

(4 citation statements)

References 8 publications

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“…The author’s method of comparing the performance of codecs, as well as the Bjöntegaard model, allow reasonable results to be achieved based on the interpolation of real video samples, even if their number is limited. Such a reduction in the number of the required samples allows the whole process to be accelerated, which is because the preparation of the test samples may take a long time [ 25 , 26 ]. This obviously depends on the coding parameters (like bitrate, number of frames per second, video resolution, and so on) and the complexity of the video scene.…”

Section: Discussionmentioning

confidence: 99%

“…In order to examine two codecs, it is worth comparing not one, but several video samples that are encoded using these codecs. The preparation of a proper video dataset representation is a very important and time-consuming task [ 25 , 26 ]. It should take into account different parameters, e.g., different spatial and temporal resolutions of the video, coding bitrates, color bit depth, and chroma subsampling schemes.…”

Section: Introductionmentioning

confidence: 99%

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A Method of Codec Comparison and Selection for Good Quality Video Transmission Over Limited-Bandwidth Networks

Klink

2021

Sensors

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Finding a proper balance between video quality and the required bandwidth is an important issue, especially in networks of limited capacity. The problem of comparing the efficiency of video codecs and choosing the most suitable one in a specific situation has become very important. This paper proposes a method of comparing video codecs while also taking into account objective quality assessment metrics. The author shows the process of preparing video footage, assessing its quality, determining the rate–distortion curves, and calculating the bitrate saving for pairs of examined codecs. Thanks to the use of the spline interpolation method, the obtained results are better than those previously presented in the literature, and more resistant to the quality metric used.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Method of Codec Comparison and Selection for Good Quality Video Transmission Over Limited-Bandwidth Networks

Klink

2021

Sensors

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“…The DASH player start streaming the content by loading the Media Presentation Description (MPD) which is a manifest file that describe the video content (video and segment length, video qualities and etc.). Then the player start downloads the video segments in sequence over HTTP where an Adaptive Bit rate (ABR) is executed to permit the client to choose different qualities of downloaded segment according to its current network conditions [21]. Thus, the client can watch the video at the highest available quality, and continuously without any freezes.…”

Section: Proposed Solutionsmentioning

confidence: 99%

Multi-armed bandit algorithms over DASH for multihomed client

Hodroj¹,

Ibrahim²,

Hadjadj‐Aoul³

et al. 2021

IJSNET

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There is an expanding request from the mobile clients of video traffic which has come to over the most recent two years the greater part of all the mobile data traffic. The challenge of providing the clients excellent video streaming is expected principally to the constrained transfer speed which makes it important to misuse the rising decent variety of mobile video spilling and get to systems. For enhancing the video quality received by "multi-homed client" (i.e., clients with multiple network interfaces), a network selection algorithm based on the Multi-Armed Bandit heuristic is proposed on top of the most broadly utilized standard for video streaming Dynamic Adaptive Streaming over HTTP (DASH). For choosing the best network at each progression powerfully, DASH gives mobile video quality dependent on the apparent exhibition from the pre-owned system association through the Adaptive Bitrate Rules (ABR) without investigating the system conditions through the other network(s) which could give better quality. Subsequently, a few alterations for DASH ABR is required to enhance the video quality. Two of the MAB algorithms (UCB and Epsilon Greedy) were embraced for improving MPEG-Dash. The investigations are performed through a proving ground execution to show that UCB surpasses Epsilon Greedy, in stable system conditions, regarding goodput received by the Dash customer. Additionally, UCB can discover the harmony between investigating new choices, and abusing the triumphant variation.

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“…Most of the video services are today based on adaptive streaming techniques that allow a video to be played based on the end user's network conditions. Therefore, the quality of the video and the audio streams are automatically adjusted accordingly, enhancing the user's experience [15].…”

Section: Introductionmentioning

confidence: 99%

Parallel Streaming for a Multi-homed Dash client

Hodroj

Ibrahim

Hadjadj‐Aoul

2020

2020 International Wireless Communications and Mobile Computing (IWCMC)

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Nowadays, multimedia streaming traffic reaches 71 % from the mobile data traffic over the world and most of the multimedia services use Dynamic adaptive streaming over HTTP (DASH) to adjust video delivery to the dynamic network environment and achieve higher user Quality of Experience (QoE) levels. Moreover, 90 % of the video traffic is consumed by smart devices equipped with multiple network interfaces (Wifi, 3G, and 4G) known as multi-homed devices. In this paper, we propose a new DASH-parallel streaming solution, which exploits the diversity of access network connections to improve video quality over DASH protocol. Experimental Results show that our proposed approach improves the perceived QoE in different network conditions, without requiring further energy expenditure.Index Terms-MPEG-DASH,multi-homing and parallel streaming.

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Evaluation of Adaptive Bitrate Selection Algorithms for MPEG DASH

Cited by 4 publications

References 8 publications

A Method of Codec Comparison and Selection for Good Quality Video Transmission Over Limited-Bandwidth Networks

A Method of Codec Comparison and Selection for Good Quality Video Transmission Over Limited-Bandwidth Networks

Multi-armed bandit algorithms over DASH for multihomed client

Parallel Streaming for a Multi-homed Dash client

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