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Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a...

Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6680f2f4ecff4da494737b3f884f3b8b

Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a hyperautomation mechanism

About this item

Full title

Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a hyperautomation mechanism

Author / Creator

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-01, Vol.15 (1), p.1079-20, Article 1079

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

With ongoing social progress, three-dimensional (3D) video is becoming increasingly prevalent in everyday life. As a key component of 3D video technology, depth video plays a crucial role by providing information about the distance and spatial distribution of objects within a scene. This study focuses on deep video encoding and proposes an efficien...

Alternative Titles

Full title

Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a hyperautomation mechanism

Authors, Artists and Contributors

Author / Creator

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Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6680f2f4ecff4da494737b3f884f3b8b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6680f2f4ecff4da494737b3f884f3b8b

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-85602-1

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