Performance Analysis of Scalable Video Adaptation: Generic versus Specific Approach

Eberhard, Michael; Celetto, Luca; Timmerer, Christian; Quacchio, E.; Hellwagner, Hermann

doi:10.1109/wiamis.2008.48

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…In the case of the JSVM extractor, an important amount of processing time is spent in an initial parsing of the whole bitstream. Storing previously this information as a bitstream description can improve significantly the efficiency of the extractor [32].…”

Section: Resultsmentioning

confidence: 99%

An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC

Herranz

Martínez

2009

Signal Processing: Image Communication

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Section: Resultsmentioning

confidence: 99%

An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC

Herranz

Martínez

2009

Signal Processing: Image Communication

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“…The rate variability is defined as the covariance of the frame sizes in bytes. From another perspective it has been reported that in terms of time required to extract a substream from a scalable bitstream, SVC bitstream extractor slightly outperforms MPEG-21 DIA, a standard that provides videos in the form of substreams to support interoperable access to them [11].…”

Section: Related Workmentioning

confidence: 99%

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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“…To evaluate the performance of our codec-independent metadata-based adaptation approach in comparison to an SVC-specific adaptation approach, the MPEG-21 DIA metadata-based implementation has been compared to the Bitstream Extractor of the JSVM reference software [4]. Initial comparisons have shown that the metadata-based adaptation approach clearly outperforms the implementation of the reference software [6]. However, these performance measurements have revealed bottlenecks for both, the metadata-based adaptation approach and the Bitstream Extractor.…”

Section: An Interoperable Architecture For Multicast Streamingmentioning

confidence: 99%

An interoperable streaming framework for scalable video coding based on MPEG-21

Eberhard

Celetto

Timmerer

et al. 2008

5th International Conference on Visual Information Engineering (VIE 2008)

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In this paper, an interoperable streaming framework for the adaptation and streaming of scalable multimedia content is presented. The streaming framework's architecture for Video on Demand (VoD) as well as multicast streaming is presented. The VoD test-bed allows each client to set up a separate streaming session and receive the bitstreams in a quality tailored to the clients requirements, while the multicast test-bed provides a layered scalable multicast to all clients and every client needs to decide which layers to subscribe to. After the description of the architectures, a comparison in terms of performance of the MPEG-21 DIA metadata-based adaptation approach to an SVC-specific adaptation approach is presented. Furthermore, optimizations for both adaptation approaches are presented and the performance improvements due to the optimizations are discussed.

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Performance Analysis of Scalable Video Adaptation: Generic versus Specific Approach

Cited by 6 publications

References 4 publications

An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC

An integrated approach to summarization and adaptation using H.264/MPEG-4 SVC

An Anatomy of SVC for Full HD Video Streaming

An interoperable streaming framework for scalable video coding based on MPEG-21

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