Advancedwireless Multiuser Video Streaming using the Scalable Video Coding Extensions of H.264/MPEG4-AVC

Liebl, G.; Schierl, Thomas; Wiegand, Thomas; Stockhammer, Thomas

doi:10.1109/icme.2006.262486

Cited by 28 publications

(29 citation statements)

References 4 publications

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“…The packet scheduling algorithms proposed to support video streaming under this realistic scenario [20][21][22] take video contents into consideration, which are similar to the studies in [8,[17][18][19]. However, on the contrary to the [8,[17][18][19] that mainly focused on satisfying the QoS requirements of the video users, the studies in [20][21][22] attempted to find a trade-off between maximizing throughput/capacity and satisfying the QoS requirements of video users.…”

Section: Related Studiesmentioning

confidence: 72%

“…However, on the contrary to the [8,[17][18][19] that mainly focused on satisfying the QoS requirements of the video users, the studies in [20][21][22] attempted to find a trade-off between maximizing throughput/capacity and satisfying the QoS requirements of video users.…”

Section: Related Studiesmentioning

confidence: 99%

“…To satisfy the QoS requirements of video users, the studies in [8,[17][18][19] considered video contents, commonly referred as content-aware, in their proposed algorithms. The proposed algorithms prioritize a video user on the basis of frame importance/deadline and its contribution towards improvement of the perceptual video quality.…”

Section: Related Studiesmentioning

confidence: 99%

See 2 more Smart Citations

Video Streaming Performance Under Well-Known Packet Scheduling Algorithms

Ramli¹,

Sandrasegaran²,

Basukala³

et al. 2011

IJWMN

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Section: Related Studiesmentioning

confidence: 72%

Section: Related Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Video Streaming Performance Under Well-Known Packet Scheduling Algorithms

Ramli¹,

Sandrasegaran²,

Basukala³

et al. 2011

IJWMN

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show abstract

“…Finally, several works have exploited scalability in wireless environments mixing with adaptive modulation and coding (AMC) and resource allocation. As an example, [12] proposes a dynamic sharing of the resources by combining SVC with appropriate radio link buffer management for multiuser streaming services. Since the pictures belonging to the lowest temporal layer are most important for decoding, these own the highest priority.…”

Section: Introductionmentioning

confidence: 99%

Buffer management for scalable video streaming

Figueroa¹,

Favalli²

2017

ICST Transactions on Mobile Communications and Applications

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In a video streaming scenario, to cope with bandwidth variations, buffer management and intelligent drop packets policies play a critical role in the final quality of the video received at the user side. In this context, we present a buffer management strategy implemented at the source of a video communication system. This scheme uses priority information from the H.264/SVC encoder, network information from a Bandwidth Estimation approach (BE), based on Hidden Markov Model (HMM) and monitors buffer fullness: when it exceeds a defined threshold, the selective discard strategy takes place. To get more flexibility, we employed SNR quality scalability (Medium Grain Scalability), to get more than one rate point for each enhancement layer. Low priority packets correspond to higher quality layers and are discarded first, with the aim to preserve as much as possible more relevant lower layer packets. Dependencies created by the encoding process are kept into account. We show that the strategy presented ensures that the video transmitted has the highest possible quality under the given network conditions and buffer resources.

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“…To overcome the deficiencies of application layer adaptation solutions in wireless networks, several proposals for adapting video streams in the data link layer have appeared during the recent years (e.g., [5][6][7][8][9]). Medium Access Control (MAC) layer video adaptation employs selective packet discarding and prioritized transmission in order to ensure that the most important video packets get transmitted over the wireless link with the highest probability.…”

Section: Introductionmentioning

confidence: 99%

Towards ubiquitous video services through scalable video coding and cross-layer optimization

Sutinen

Vehkaperä

Piri

et al. 2012

J Wireless Com Network

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Video content as one of the key features of future Internet services should be made ubiquitously available to users. Moreover, this should be done in a timely fashion and with adequate support for Quality of Service (QoS). Although providing the required coverage for ubiquitous video services, wireless networks, however, pose many challenges especially for QoS-sensitive video streaming due to their inadequate or varying capacity. In this article, we propose a cross-layer video adaptation solution, which may be used for optimizing network resource consumption and user experienced quality of video streaming in wireless networks; thus improving the availability of video services to mobile users. Our solution utilizes the flexibility of the Scalable Video Coding (SVC) technology and combines fast and fair Medium Access Control (MAC) layer packet scheduling with long-term application layer adaptation. The proposed solution both improves the usage of network resources by dropping video data based on its priority when the network is congested but also reduces efficiently the number of useless packet transfers in a congested network. We evaluate our solution with a simulation study under varying network congestion conditions. We find that already application layer adaptation gains over 60% less base layer losses, momentous for SVC video decodability and quality, than in the case without any adaptation. When our MAC layer scheduling is enabled, nearly a zero loss situation with respect to packet losses carrying base layers can be attained, resulting in peak-signal-to-noise ratio values very close to the original.

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Advancedwireless Multiuser Video Streaming using the Scalable Video Coding Extensions of H.264/MPEG4-AVC

Cited by 28 publications

References 4 publications

Video Streaming Performance Under Well-Known Packet Scheduling Algorithms

Video Streaming Performance Under Well-Known Packet Scheduling Algorithms

Buffer management for scalable video streaming

Towards ubiquitous video services through scalable video coding and cross-layer optimization

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