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Performance analysis of inter-layer prediction module for H.264/SVC.

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Title: Performance analysis of inter-layer prediction module for H.264/SVC.
Authors: Kessentini, Amina1 ksontini.amina@gmail.com, Samet, Amine2, Ben Ayed, Mohamed Ali2, Masmoudi, Nouri1 nouri.masmoudi@enis.rnu.tn
Source: AEU: International Journal of Electronics & Communications. Jan2015, Vol. 69 Issue 1, p344-350. 7p.
Subjects: Video coding, Prediction models, Computer software, Scalability, Channel capacity (Telecommunications), Computer simulation
Abstract: With the introduction of diverse variety of display resolutions and transmission channel capacities, the Joint Video Team (JVT) has developed a new scalable video coding standard (H264/SVC) as an extension of H.264/AVC. The SVC can compress numerous video sequences of various resolutions as a single bit-stream. The spatial scalability is mainly based on coding tools such as inter-layer predictions that offer a better coding efficiency. Consequently, for the enhancement layer, a thorough mode decision process based on the base layer mode predictions is performed on the Joint Scalable Video Model software implementation. In order to highlight the inter-layer's coding efficiency, several analyses were made using numerous HD sequences with different motion characteristics. In fact, in this paper we present the efficiency of different inter-layer prediction modes for spatial scalability. As a first step, analysis results show the significant role of inter-layer prediction process for coding efficiency. As a second step, role of each inter-layer prediction type is investigated. Simulations results show the important role of inter-layer intra prediction and inter-layer residual prediction when targeting a better coding efficiency. [ABSTRACT FROM AUTHOR]
Copyright of AEU: International Journal of Electronics & Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 99738929
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Performance analysis of inter-layer prediction module for H.264/SVC.
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  Data: <searchLink fieldCode="AR" term="%22Kessentini%2C+Amina%22">Kessentini, Amina</searchLink><relatesTo>1</relatesTo><i> ksontini.amina@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Samet%2C+Amine%22">Samet, Amine</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ben+Ayed%2C+Mohamed+Ali%22">Ben Ayed, Mohamed Ali</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Masmoudi%2C+Nouri%22">Masmoudi, Nouri</searchLink><relatesTo>1</relatesTo><i> nouri.masmoudi@enis.rnu.tn</i>
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  Data: <searchLink fieldCode="JN" term="%22AEU%3A+International+Journal+of+Electronics+%26+Communications%22">AEU: International Journal of Electronics & Communications</searchLink>. Jan2015, Vol. 69 Issue 1, p344-350. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Video+coding%22">Video coding</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Scalability%22">Scalability</searchLink><br /><searchLink fieldCode="DE" term="%22Channel+capacity+%28Telecommunications%29%22">Channel capacity (Telecommunications)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink>
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  Data: With the introduction of diverse variety of display resolutions and transmission channel capacities, the Joint Video Team (JVT) has developed a new scalable video coding standard (H264/SVC) as an extension of H.264/AVC. The SVC can compress numerous video sequences of various resolutions as a single bit-stream. The spatial scalability is mainly based on coding tools such as inter-layer predictions that offer a better coding efficiency. Consequently, for the enhancement layer, a thorough mode decision process based on the base layer mode predictions is performed on the Joint Scalable Video Model software implementation. In order to highlight the inter-layer's coding efficiency, several analyses were made using numerous HD sequences with different motion characteristics. In fact, in this paper we present the efficiency of different inter-layer prediction modes for spatial scalability. As a first step, analysis results show the significant role of inter-layer prediction process for coding efficiency. As a second step, role of each inter-layer prediction type is investigated. Simulations results show the important role of inter-layer intra prediction and inter-layer residual prediction when targeting a better coding efficiency. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of AEU: International Journal of Electronics & Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.aeue.2014.10.004
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      – Code: eng
        Text: English
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      – SubjectFull: Video coding
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Scalability
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      – SubjectFull: Channel capacity (Telecommunications)
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      – SubjectFull: Computer simulation
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            NameFull: Samet, Amine
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              Text: Jan2015
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