A Tutorial on H.264/SVC Scalable Video Coding and its Tradeoff between Quality, Coding Efficiency and Performance

Unanue, Iraide; Urteaga, Iñigo; Hüsemann, Ronaldo; Ser, Javier Del; Roesler, Valter; Rodríguez, Alejandro Gutiérrez; Sánchez, Práxedes Muñoz

doi:10.5772/19227

Cited by 26 publications

(12 citation statements)

References 13 publications

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“…4(c). This observation on full HD videos contradicts with the observation on QCIF and CIF video sequences as reported in [12]. The increase is most due to the extended search domain for motion-compensated predictions when more B-frames are used, as reported in Fig.…”

Section: B the Effect Of Temporal Scalabilitycontrasting

confidence: 55%

“…The effect of temporal, spatial and quality layering on the performance of SVC has been investigated in [12]- [16]. In [12] it has been reported that increasing the number of temporal layers can increase the objective quality of the encoded video in a constant bitrate, while using spatial or quality layers has a negative impact due to the bitrate overhead.…”

Section: Impact Of Different Layering Configurations In Svcmentioning

confidence: 99%

“…In [12] it has been reported that increasing the number of temporal layers can increase the objective quality of the encoded video in a constant bitrate, while using spatial or quality layers has a negative impact due to the bitrate overhead. Li et al reported that according to the visual experience of users, SVC inter-layer prediction is more efficient for fast and complex sequences than for slow and simple scenarios [13].…”

Section: Impact Of Different Layering Configurations In Svcmentioning

confidence: 99%

See 2 more Smart Citations

An Anatomy of SVC for Full HD Video Streaming

Zakerinasab

Wang

2014

2014 IEEE 22nd International Symposium on Modelling, Analysis &Amp; Simulation of Computer and Telecommunication Systems

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Abstract-The continuous developments and improvements of network infrastructure along with the growing number of modern smartphones, tablets and smart TVs have led to an increasing popularity of multimedia applications, such as video conferencing, video streaming and mobile TV. Towards delivering video stream to diverse devices over a heterogamous network, scalable video coding (SVC) has received many research attentions. SVC is an extension of H.264/AVC that allows a video streaming service provider to encode a high quality video into a number of scalable layers. The receivers of the stream may decode the video at the appropriate quality level that is suitable for their hardware/software capabilities and network connections. Nevertheless, compared to single layer H.264/AVC, the de facto standard for many commercial streaming service providers such as YouTube, SVC is not widely deployed, mostly due to its overhead in terms of bitrate and complexity. In this paper, we conduct a thorough study on the performance of SVC for full HD video streaming. Our performance analysis identifies good and bad uses of SVC, quantifies the coding overhead, and benchmarks the SVC video quality under different spatial, temporal, and quality settings. Through the use a set of carefully selected and diverse video sequences, we also identify the types of video that can benefit from SVC.

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Section: B the Effect Of Temporal Scalabilitycontrasting

confidence: 55%

Section: Impact Of Different Layering Configurations In Svcmentioning

confidence: 99%

Section: Impact Of Different Layering Configurations In Svcmentioning

confidence: 99%

See 1 more Smart Citation

An Anatomy of SVC for Full HD Video Streaming

Zakerinasab

Wang

2014

2014 IEEE 22nd International Symposium on Modelling, Analysis &Amp; Simulation of Computer and Telecommunication Systems

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“…An example of layered coding is Scalable Video Coding (SVC) [15], an extension to the H.264/MPEG-4 Part 10 or AVC (Advanced Video Coding) compression standard. A major limitation to layered coding is that the technique implements a prioritised encoding hierarchy such that the increase in quality delivered by an enhancement layer is subject to the availability at the decoder of all lower layers that the enhancement layer is dependent upon [19]. In this manner, the loss of a lower layer prohibits the decoding of all higher enhancement layers.…”

Section: Introductionmentioning

confidence: 99%

ALD: adaptive layer distribution for scalable video

2014

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“…This encoded video stream exploits the hierarchical prediction structure using B-pictures for enabling temporal scalability. Moreover, the coding structure of the quality scalability uses the key picture concept (other coding structures can be consulted in [34,35]). In H.264/SVC, the codec is divided in two subsystems: the Video Coding Layer (VCL) and the Network Abstraction Layer (NAL).…”

Section: H264/svc Scalable Video Codingmentioning

confidence: 99%

SVCEval-RA: an evaluation framework for adaptive scalable video streaming

Castellanos

Guerri

Arce

2015

Multimed Tools Appl

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Abstract. Multimedia content adaption strategies are becoming increasingly important for effective video streaming over the actual heterogeneous networks. Thus, evaluation frameworks for adaptive video play an important role in the designing and deploying process of adaptive multimedia streaming systems. This paper describes a novel simulation framework for rate-adaptive video transmission using the Scalable Video Coding standard (H.264/SVC). Our approach uses feedback information about the available bandwidth to allow the video source to select the most suitable combination of SVC layers for the transmission of a video sequence. The proposed solution has been integrated into the network simulator NS-2 in order to support realistic network simulations. To demonstrate the usefulness of the proposed solution we perform a simulation study where a video sequence was transmitted over a three network scenarios. The experimental results show that the Adaptive SVC scheme implemented in our framework provides an efficient alternative that helps to avoid an increase in the network congestion in resource-constrained networks.Improvements in video quality, in terms of PSNR (Peak Signal to Noise Ratio) and SSIM (Structural Similarity Index) are also obtained.

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A Tutorial on H.264/SVC Scalable Video Coding and its Tradeoff between Quality, Coding Efficiency and Performance

Cited by 26 publications

References 13 publications

An Anatomy of SVC for Full HD Video Streaming

An Anatomy of SVC for Full HD Video Streaming

ALD: adaptive layer distribution for scalable video

SVCEval-RA: an evaluation framework for adaptive scalable video streaming

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