A Statistical Study of Arien Sequences for an H.264 Prediction Module Lower Complexity.
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| Title: | A Statistical Study of Arien Sequences for an H.264 Prediction Module Lower Complexity. |
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| Authors: | Ammous, Donia1,2, Kessentini, Amina1,3, Kallel, Abdelaziz2, Kammoun, Fahmi1, Masmoudi, Nouri1 |
| Source: | Journal of Testing & Evaluation. 2024, Vol. 52 Issue 1, p1-13. 13p. |
| Abstract: | Advanced video coding, or H.264/AVC has been proved to possess a highly complex encoder with a block motion estimation (ME) scheme, entropy coding and a prediction module. Typical applications of unmanned aerial vehicles (UAVs) require real-time video compression. As a result, the current study aims to develop an approach to decrease the computing complexity of the prediction module. The software algorithm that was developed helps basic functions to be achieved in the prediction module. In fact, the user can set up, manage, deploy, and monitor the UAVs in real time. Evaluations obtained in this paper have shown that the adopted approach can significantly improve the execution time of coding and, consequently, the network performance. When comparing the original method of the Laboratory of Electronics and Information's software with the suggested approach, experimental results show that the proposed method had achieved an increase in execution time from 3.544-15.574 %. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Testing & Evaluation is the property of ASTM International 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 175626196 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Statistical Study of Arien Sequences for an H.264 Prediction Module Lower Complexity. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ammous%2C+Donia%22">Ammous, Donia</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kessentini%2C+Amina%22">Kessentini, Amina</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Kallel%2C+Abdelaziz%22">Kallel, Abdelaziz</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kammoun%2C+Fahmi%22">Kammoun, Fahmi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Masmoudi%2C+Nouri%22">Masmoudi, Nouri</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Testing+%26+Evaluation%22">Journal of Testing & Evaluation</searchLink>. 2024, Vol. 52 Issue 1, p1-13. 13p. – Name: Abstract Label: Abstract Group: Ab Data: Advanced video coding, or H.264/AVC has been proved to possess a highly complex encoder with a block motion estimation (ME) scheme, entropy coding and a prediction module. Typical applications of unmanned aerial vehicles (UAVs) require real-time video compression. As a result, the current study aims to develop an approach to decrease the computing complexity of the prediction module. The software algorithm that was developed helps basic functions to be achieved in the prediction module. In fact, the user can set up, manage, deploy, and monitor the UAVs in real time. Evaluations obtained in this paper have shown that the adopted approach can significantly improve the execution time of coding and, consequently, the network performance. When comparing the original method of the Laboratory of Electronics and Information's software with the suggested approach, experimental results show that the proposed method had achieved an increase in execution time from 3.544-15.574 %. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Testing & Evaluation is the property of ASTM International 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1520/JTE20230099 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Titles: – TitleFull: A Statistical Study of Arien Sequences for an H.264 Prediction Module Lower Complexity. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ammous, Donia – PersonEntity: Name: NameFull: Kessentini, Amina – PersonEntity: Name: NameFull: Kallel, Abdelaziz – PersonEntity: Name: NameFull: Kammoun, Fahmi – PersonEntity: Name: NameFull: Masmoudi, Nouri IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00903973 Numbering: – Type: volume Value: 52 – Type: issue Value: 1 Titles: – TitleFull: Journal of Testing & Evaluation Type: main |
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