信息技术.多媒体内容描述接口.第17部分：多媒体内容描述和分析用神经网络的压缩

[中文适用范围]： 本文件规定了神经网络编码（NNC）作为训练好的神经网络参数/权重的压缩表示以及解码过程，补充了现有神经网络交换格式对网络拓扑结构的描述。 本文件没有制定神经网络传输的完整协议，而是专注于网络参数的压缩。仅规范语法格式、语义、解码过程要求、参数稀疏化方法、参数转换方法、量化方法、熵编码方法以及在现有交换格式中的集成/信号传输。 除预处理、系统信号和复用、数据丢失恢复和后处理外，本文件不考虑其他事项。此外，解码器内部执行的处理步骤也被视为超出本文件的范围；仅外部可观察的行为需要符合本文件的规定。 [外文原描述]： 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.