ISO/IEC 15938-17:2022

Résumé

This document specifies Neural Network Coding (NNC) as a compressed representation of the parameters/weights of a trained neural network and a decoding process for the compressed representation, complementing the description of the network topology in existing (exchange) formats for neural networks. It establishes a toolbox of compression methods, specifying (where applicable) the resulting elements of the compressed bitstream.

This document does not specify a complete protocol for the transmission of neural networks, but focuses on compression of network parameters. Only the syntax format, semantics, associated decoding process requirements, parameter sparsification, parameter transformation methods, parameter quantization, entropy coding method and integration/signalling within existing exchange formats are specified, while other matters such as pre-processing, system signalling and multiplexing, data loss recovery and post-processing are considered to be outside the scope of this document. Additionally, the internal processing steps performed within a decoder are also considered to be outside the scope of this document; only the externally observable output behaviour is required to conform to the specifications of this document.

Informations générales

État actuel
: Publiée

Date de publication
: 2022-08
Edition
: 1
Comité technique
: ISO/IEC JTC 1/SC 29 Codage du son, de l'image, de l'information multimédia et hypermédia
ICS
:
35.040.40 Codage des informations audio, vidéo, multimédias et hypermédias