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DNN System and method for DNN based image or video coding based on tool-by-tool

机译:DNN基于工具的基于DNN的图像或视频编码的系统和方法

摘要

Disclosed are a system for coding an image or a video in a tool-by-tool manner based on a deep neural network (DNN), which is capable of applying DNN technology to implement all or a part of functions of an encoder and a decoder, and a method thereof. According to one embodiment of the present invention, the system comprises: a network training framework generating and transmitting a trained tool neural network described by training a DNN-based coding tool; an encoder, during an encoding process, applying the trained tool neural network to an inference engine in a first encoding process corresponding to the DNN-based coding tool, and applying a normalized image or video encoding tool in a second encoding process except the first encoding process to encode an inputted image or video so as to generate an encoded bitstream; and a decoder, during a decoding process, applying the trained tool neural network to an inference engine in a first decoding process corresponding to the DNN-based coding tool, and applying a normalized image or video decoding tool in a second decoding process except the first decoding process to decode the encoded bitstream generated by the encoder.
机译:公开了一种基于深度神经网络(DNN)以一种工具对一种图像或视频进行编码的系统,该系统能够应用DNN技术来实现编码器和解码器的全部或部分功能。 ,及其方法。根据本发明的一个实施例,该系统包括:网络训练框架,其生成并传输通过训练基于DNN的编码工具而描述的训练工具神经网络;以及编码器,在编码过程中,在与基于DNN的编码工具相对应的第一编码过程中,将训练后的工具神经网络应用于推理引擎,并在第二编码过程中将除第一编码之外的归一化图像或视频编码工具应用于对输入的图像或视频进行编码以生成编码比特流的过程;解码器,在解码过程中,在与基于DNN的编码工具对应的第一解码过程中,将训练后的工具神经网络应用于推理引擎,在第二解码过程中,将归一化图像或视频解码工具应用于除第一解码过程,对编码器生成的编码比特流进行解码。

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