Active PAR

P3483

Standard for Deep Intermediate Feature Coding

This standard defines a set of compression, decompression, and packaging tools and a mechanism for coding intermediate features of deep neural networks, including deep convolutional networks, transformers, and diffusion models, that are widely adopted in intelligent processing and analytics applications. Examples of such applications are intelligent transportation and smart cities.

Sponsor Committee
C/DC - Data Compression Standards Committee
Status
Active PAR
PAR Approval
2024-05-22

Working Group Details

Society
IEEE Computer Society
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Sponsor Committee
C/DC - Data Compression Standards Committee
Working Group
MFC - Multi-Modality Feature Coding Working Group
IEEE Program Manager
Meng Zhao
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Working Group Chair
LINGYU DUAN

Other Activities From This Working Group

Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.


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These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.


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These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.


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