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The Pros and Cons of Software Decoding for Publishers and Viewers.

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Title: The Pros and Cons of Software Decoding for Publishers and Viewers.
Authors: Ozer, Jan jozer@mindspring.com
Source: Streaming Media. Jul/Aug2025, Vol. 22 Issue 4, p40-41. 4p.
Subjects: Video codecs, Energy consumption, Decoding algorithms, End users (Information technology), Data compression, Publishing
Abstract: The article examines the advantages and disadvantages of software decoding for video codecs, particularly focusing on the implications for publishers and viewers. It evaluates energy consumption and compression efficiency of six codecs—H. 264, HEVC, VP9, AV1, VVC, and AVM—using both software and hardware decoders, highlighting trade-offs that affect cost, battery life, and viewer experience. While software decoding can enhance compression efficiency and reduce delivery costs, it may lead to shorter battery life and playback instability, especially on lower-end devices. The article emphasizes that the choice between software and hardware decoding depends on the specific needs of publishers and the playback environment for viewers. [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
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  Data: The Pros and Cons of Software Decoding for Publishers and Viewers.
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  Data: <searchLink fieldCode="AR" term="%22Ozer%2C+Jan%22">Ozer, Jan</searchLink><i> jozer@mindspring.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Streaming+Media%22">Streaming Media</searchLink>. Jul/Aug2025, Vol. 22 Issue 4, p40-41. 4p.
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  Data: <searchLink fieldCode="DE" term="%22Video+codecs%22">Video codecs</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Decoding+algorithms%22">Decoding algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22End+users+%28Information+technology%29%22">End users (Information technology)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+compression%22">Data compression</searchLink><br /><searchLink fieldCode="DE" term="%22Publishing%22">Publishing</searchLink>
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  Data: The article examines the advantages and disadvantages of software decoding for video codecs, particularly focusing on the implications for publishers and viewers. It evaluates energy consumption and compression efficiency of six codecs—H. 264, HEVC, VP9, AV1, VVC, and AVM—using both software and hardware decoders, highlighting trade-offs that affect cost, battery life, and viewer experience. While software decoding can enhance compression efficiency and reduce delivery costs, it may lead to shorter battery life and playback instability, especially on lower-end devices. The article emphasizes that the choice between software and hardware decoding depends on the specific needs of publishers and the playback environment for viewers. [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=187632783
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      – SubjectFull: Decoding algorithms
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              Text: Jul/Aug2025
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