Software Decoding and the Future of Mobile Video.
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| Title: | Software Decoding and the Future of Mobile Video. |
|---|---|
| Authors: | Ozer, Jan jozer@mindspring.com |
| Source: | Streaming Media. May/Jun2025, Vol. 22 Issue 3, p30-37. 8p. |
| Subjects: | Video codecs, Video coding, Video compression standards, Content delivery networks, Video compression, Video processing |
| Abstract: | The article focuses on the challenges and developments in software decoding for mobile video, particularly regarding the AV1 and VVC codecs as alternatives to H.264 and HEVC. As of 2025, hardware decoding for AV1 on mobile devices remains limited, prompting companies like Meta to promote software-only playback and develop benchmarking tools like VCAT. The analysis reveals that while VVC is approximately 7% more efficient than AV1 in encoding, it demands significantly more CPU resources for playback, which could limit its usability on lower-end devices. The article also discusses encoding practices, efficiency comparisons, and the implications for content delivery in mobile environments. [Extracted from the article] |
| Copyright of Streaming Media is the property of Information Today Inc. 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 185877612 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Software Decoding and the Future of Mobile Video. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ozer%2C+Jan%22">Ozer, Jan</searchLink><i> jozer@mindspring.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Streaming+Media%22">Streaming Media</searchLink>. May/Jun2025, Vol. 22 Issue 3, p30-37. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Video+codecs%22">Video codecs</searchLink><br /><searchLink fieldCode="DE" term="%22Video+coding%22">Video coding</searchLink><br /><searchLink fieldCode="DE" term="%22Video+compression+standards%22">Video compression standards</searchLink><br /><searchLink fieldCode="DE" term="%22Content+delivery+networks%22">Content delivery networks</searchLink><br /><searchLink fieldCode="DE" term="%22Video+compression%22">Video compression</searchLink><br /><searchLink fieldCode="DE" term="%22Video+processing%22">Video processing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article focuses on the challenges and developments in software decoding for mobile video, particularly regarding the AV1 and VVC codecs as alternatives to H.264 and HEVC. As of 2025, hardware decoding for AV1 on mobile devices remains limited, prompting companies like Meta to promote software-only playback and develop benchmarking tools like VCAT. The analysis reveals that while VVC is approximately 7% more efficient than AV1 in encoding, it demands significantly more CPU resources for playback, which could limit its usability on lower-end devices. The article also discusses encoding practices, efficiency comparisons, and the implications for content delivery in mobile environments. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Streaming Media is the property of Information Today Inc. 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185877612 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 30 Subjects: – SubjectFull: Video codecs Type: general – SubjectFull: Video coding Type: general – SubjectFull: Video compression standards Type: general – SubjectFull: Content delivery networks Type: general – SubjectFull: Video compression Type: general – SubjectFull: Video processing Type: general Titles: – TitleFull: Software Decoding and the Future of Mobile Video. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ozer, Jan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May/Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 15598039 Numbering: – Type: volume Value: 22 – Type: issue Value: 3 Titles: – TitleFull: Streaming Media Type: main |
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