We need your consent to use the individual data so that you can see information about your interests, among other things. Click "OK" to give your consent.
IEEE Approved Draft Standard for Neural Network-Based Image Coding
Translate name
STANDARD published on 25.12.2024
Availability | Sold out |
Price | ONREQUEST excl. VAT |
ON REQUEST |
Designation standards: IEEE P1857.11
Publication date standards: 25.12.2024
SKU: NS-1200492
Approximate weight : 300 g (0.66 lbs)
Country: International technical standard
New IEEE Standard - Active - Draft.
This standard defines a set of tools for efficient image coding, including tools for encoding, for decoding, and for encapsulation. Some of the tools are based on trained neural networks. These tools are designed to perform block partitioning, prediction, transform, quantization, entropy coding, filtering, etc., respectively.
ISBN: 979-8-8557-0953-7, 979-8-8557-0953-7
Number of Pages: 152
Product Code: STDUD27105, STDAPE27105
Keywords: Block partitioning, entropy coding, filtering, image coding, neural network, prediction, quantization, transform.
Category: Coding and Modulation
Draft Number: P1857.11/D3, Jun 2024 - UNAPPROVED DRAFT, P1857.11/D3, Jun 2024 - APPROVED DRAFT
Do you want to be sure about the validity of used regulations?
We offer you a solution so that you could use valid and updated legislative regulations.
Would you like to get more information? Look at this page.
Latest update: 2025-01-03 (Number of items: 2 218 319)
© Copyright 2025 NORMSERVIS s.r.o.