Real-Time System for Adaptive Video Streaming Based on SVC

Wien, Mathias; Cazoulat, Renaud; Graffunder, A.; Hutter, Andreas; Amon, Peter

doi:10.1109/tcsvt.2007.905519

Cited by 112 publications

(61 citation statements)

References 9 publications

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“…The sophisticated architecture of the H.264/SVC standard is particularly designed to increase the codec capabilities while offering a flexible encoder solution that supports three different scalabilities: temporal, spatial and SNR quality (Wien, Cazoulat, Graffunder, Hutter & Amon, 2007). Figure 4 illustrates the structure of a H.264/SVC encoder for a basic two-spatial-layer scalable configuration.…”

Section: Overview Of H264/svcmentioning

confidence: 99%

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

Unanue¹,

Urteaga²,

Hüsemann³

et al. 2011

Recent Advances on Video Coding

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Section: Overview Of H264/svcmentioning

confidence: 99%

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

Unanue¹,

Urteaga²,

Hüsemann³

et al. 2011

Recent Advances on Video Coding

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“…The survey covers the Transcoding of the video contents, audio video formats, device heterogeneity and hardware, software variations and practical limitations on service provision. W. Yu et al [25] proposed a model called CloudMOV a highly interactive mobile TV environment with social interactiveness. W.Xiaofei et al on [26] and [27] introduced a framework for video streaming works under the principle of caching and social interactiveness also called popularity based content caching mechanism.…”

Section: Related Workmentioning

confidence: 99%

A Framework for Cloud Assisted Adaptive Video Streaming to Enhance User QoE

Rajasekaran¹,

Keerthiga²

2018

IJCA

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The drastic increase in the usage of handheld devices like smartphones, tablets, etc., produce huge traffic on the Internet which are mainly due the video streaming services applications. Due to the limitations of resources (Power, Memory, Processing, etc.), numerous design patterns of the mobile devices and heterogeneous users' expectations, it is difficult to handle those video streaming services requests. In order to provide an expected experience to the end user and to reduce the burden of the service providers, cloud computing provides the most easy and viable solution. A novel framework in cloud environment has been proposed in this paper to provide a good trade-off between the service handling as well as the user experience. The framework covers various aspects related to streaming services such as user experience, content distribution and retrieval, power usage, network analysis, video storage, device analysis on static and runtime conditions, parallel service provision and the experience perceived by user. General TermsCloud Based Video Streaming Services

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“…An Objective Perceptual Quality-Based ADTE Figure 1 shows the integration of our objective perceptual quality-based ADTE in an overall system that aims at the delivery of optimally adapted bitstreams to diverse mobile usage environments. It consists of a content server, the adaptation node, and clients [6].…”

Section: Objective Perceptual Quality Metricmentioning

confidence: 99%

“…For example, given a particular bandwidth, maximizing the number of bits in an extracted bitstream is a common operation for an ADTE handling SVC bitstreams [5], [6]. However, it is well-known that objective video parameters correlate poorly with subjective quality, especially at lower bit rates [8].…”

Section: Introductionmentioning

confidence: 99%

An Objective Perceptual Quality-Based ADTE for Adapting Mobile SVC Video Content

Kim

Sohn

Neve

et al. 2009

IEICE Trans. Inf. & Syst.

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SUMMARYIn this paper, we propose an Adaptation Decision-Taking Engine (ADTE) that targets the delivery of scalable video content in mobile usage environments. Our ADTE design relies on an objective perceptual quality metric in order to achieve video adaptation according to human visual perception, thus allowing to maximize the Quality of Service (QoS). To describe the characteristics of a particular usage environment, as well as the properties of the scalable video content, MPEG-21 Digital Item Adaptation (DIA) is used. Our experimental results show that the proposed ADTE design provides video content with a higher subjective quality than an ADTE using the conventional maximum-bit-allocation method.

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Real-Time System for Adaptive Video Streaming Based on SVC

Cited by 112 publications

References 9 publications

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

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

A Framework for Cloud Assisted Adaptive Video Streaming to Enhance User QoE

An Objective Perceptual Quality-Based ADTE for Adapting Mobile SVC Video Content

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