Spatial flicker effect in video scaling

Ni, Pengpeng; Eg, Ragnhild; Eichhorn, Alexander; Griwodz, Carsten; Halvorsen, Pål

doi:10.1109/qomex.2011.6065712

Cited by 18 publications

(4 citation statements)

References 7 publications

(5 reference statements)

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“…High values indicate very frequent switching which can lead to a decreased Quality of Experience (QoE) [13]. The following formulas have been used to calculate the number of bitrate switches:…”

Section: Methodsmentioning

confidence: 99%

An evaluation of dynamic adaptive streaming over HTTP in vehicular environments

Müller

Lederer

Timmerer

2012

Proceedings of the 4th Workshop on Mobile Video

233

160

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MPEGs' Dynamic Adaptive Streaming over HTTP (MPEG-DASH) is an emerging standard designed for media delivery over the top of existing infrastructures and able to handle varying bandwidth conditions during a streaming session. This requirement is very important, specifically within mobile environments and, thus, DASH could potentially become a major driver for mobile multimedia streaming. Hence, this paper provides a detailed evaluation of our implementation of MPEG DASH compared to the most popular propriety systems, i.e., Microsoft Smooth Steaming, Adobe HTTP Dynamic Streaming, and Apple HTTP Live Streaming. In particular, these systems will be evaluated under restricted conditions which are due to vehicular mobility. In anticipation of the results, our prototype implementation of MPEG-DASH can very well compete with state-of-the-art solutions and, thus, can be regarded as a mature standard ready for industry adaption.

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Section: Methodsmentioning

confidence: 99%

An evaluation of dynamic adaptive streaming over HTTP in vehicular environments

Müller

Lederer

Timmerer

2012

Proceedings of the 4th Workshop on Mobile Video

233

160

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“…The number of video level switches (ν) in a session indicates the amount of quality changes of a streaming session. A lower number of switches during a session leads to a higher overall user satisfaction [17]. We calculate ν as…”

Section: Ahs Full Set Video Level Selectionmentioning

confidence: 99%

Network-aware video level encoding for uplink adaptive HTTP streaming

Lottermann

Gül

Schroeder³

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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Abstract-We study the uplink delivery of live video using adaptive HTTP streaming (AHS). In AHS, the process of simultaneously creating video levels at different rates is computationally demanding and quickly exceeds the computational capacity of mobile devices. As a remedy, we propose a network-aware video level selection approach which reduces the number of levels that need to be encoded. To this end, we develop an algorithm which selects a reduced set of video levels from a static pre-defined set based on TCP uplink throughput information. More specifically, during session start-up and after inter-RAN handovers, TCP uplink throughput information from a remote database is used while otherwise, actual TCP uplink throughput measurements are performed. We test the proposed approach in an automotive scenario to upstream the video of a vehicle's front-facing camera to a remote video portal. Our results show that our proposed network-aware video level selection approach leads to a significant reduction of the number of video levels that need to be encoded. At the same time, a similar quality of experience is achieved in terms of mean subjective quality of the delivered video segments, interrupted playback duration due to stalling events, and number of quality switches when compared to an implementation which considers the static full set of video levels.

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“…• Lines [6,8]: DL corresponds to the download speed of the last downloaded chunk. In these lines, we compare the last representation (last requested profile) with the new DL.…”

Section: Pseudo Codementioning

confidence: 99%

“…In HAS, the client player dynamically adjusts the video bitrate as a function of the network condition and CPU usage. While this may reduce the playback interruptions, it still adversely affects the user experience with the rise of the number of switching between qualities during the video session [8]. This has also a straight impact on the performance of transparent caches or CDNs, since many bitrates of the same chunk from the same content compete to be cached [5].…”

Section: Introduction and Related Workmentioning

confidence: 99%

Improving caching efficiency and quality of experience with CF-Dash

Aouini

Diallo

Gouta

et al. 2014

Proceedings of Network and Operating System Support on Digital Audio and Video Workshop

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HTTP Adaptive Streaming (HAS) is gradually being adopted by Over The Top (OTT) content providers. In HAS, a wide range of video bitrates of the same video content are made available over the internet so that clients' players pick the video bitrate that best fit their bandwidth. Yet, this affects the performance of some major components of the video delivery chain, namely CDNs or transparent caches since several versions of the same content compete to be cached. In this context we investigate the benefits of a Cache Friendly HAS system (CF-DASH), which aims to improve the caching efficiency in mobile networks and to sustain the quality of experience of mobile clients. Firstly, we motivate our work by presenting a set of observations we made on large number of clients requesting HAS contents. Secondly we introduce the CF-Dash system and our testbed implementation. Finally, we evaluate CF-dash based on trace-driven simulations and testbed experiments. Our validation results are promising. Simulations on real HAS traffic show that we achieve a significant gain in hit-ratio that ranges from 15% up to 50%..

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Spatial flicker effect in video scaling

Cited by 18 publications

References 7 publications

An evaluation of dynamic adaptive streaming over HTTP in vehicular environments

An evaluation of dynamic adaptive streaming over HTTP in vehicular environments

Network-aware video level encoding for uplink adaptive HTTP streaming

Improving caching efficiency and quality of experience with CF-Dash

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