Systems and method for encoding and decoding parameters of a machine learning model
AssigneeGuangdong Oppo Mobile Telecommunications Corp., Ltd.
InventorsOlgierd STANKIEWICZ, Marek DOMANSKI, Tomasz GRAJEK, Slawomir MACKOWIAK, Slawomir ROZEK, Jakub STANKOWSKI, Maciej WAWRZYNIAK
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Abstract
A method for decoding parameters of a machine learning model is provided. The method includes that: a bitstream is decoded to determine values of samples in an image data; one or more parameter values are determined based on the values of the samples in the image data; and one or more parameters of the machine learning model are determined based upon the one or more parameter values.
Claims20
A method for decoding parameters of a machine learning model, performed by a second computing device, the method comprising:
- decoding a bitstream to determine values of samples in an image data;
- determining one or more parameter values based on the values of the samples in the image data;
- and
- determining one or more parameters of the machine learning model based upon the one or more parameter values.
A method for encoding parameters of a machine learning model, performed by a first computing device, the method comprising:
- obtaining one or more parameters of a machine learning model;
- determining one or more parameter values based on the one or more parameters of the machine learning model;
- determining values of samples in an image data based on the one or more parameter values;
- and
- encoding the image data to generate a bitstream.
A device for decoding parameters of a machine learning model, comprising:
- one or more processors;
- and
- a computer-readable storage medium storing computer executable instructions;
- wherein the computer executable instructions, when executed by the one or more processors, cause the one or more processors to:
- decode the bitstream to determine values of samples in an image data;
- determine the one or more parameter values based on the values of the samples in the image data;
- and
- determine one or more parameters of the machine learning model based upon the one or more parameter values.
Dependencies are inferred from the claim text.