Method, apparatus, and medium for visual data processing
AssigneesBeijing Bytedance Network Technology Co., Ltd., Bytedance Inc.
InventorsYaojun Wu, Semih Esenlik, Zhaobin Zhang, Yue Li, Kai Zhang, Li Zhang
Life of this patent
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Abstract
Embodiments of the present disclosure provide a solution for visual data processing. A method for visual data processing is proposed. The method comprises: performing, for a conversion between visual data and a bitstream of the visual data, a quantization process on a dataset comprising at least one of: input visual data of a neural network model used for the conversion, or a parameter of the neural network model; and performing the conversion based on the quantization process.
Claims20
A method for visual data processing, comprising:
- performing, for a conversion between visual data and a bitstream of the visual data, a quantization process on a dataset comprising at least one of:
- input visual data of a neural network model used for the conversion, or a parameter of the neural network model;
- and
- performing the conversion based on the quantization process.
An apparatus for data processing comprising a processor and a non-transitory memory with instructions thereon, wherein the instructions upon execution by the processor, cause the processor to:
- perform, for a conversion between visual data and a bitstream of the visual data, a quantization process on a dataset comprising at least one of:
- input visual data of a neural network model used for the conversion, or a parameter of the neural network model;
- and
- perform the conversion based on the quantization process.
A non-transitory computer-readable storage medium storing instructions that cause a processor to perform a method performed by a data processing apparatus, wherein the method comprises:
- performing, for a conversion between visual data and a bitstream of the visual data, a quantization process on a dataset comprising at least one of:
- input visual data of a neural network model used for the conversion, or a parameter of the neural network model;
- and
- performing the conversion based on the quantization process.
A non-transitory computer-readable recording medium storing a bitstream of data which is generated by a method performed by an apparatus for data processing, wherein the method comprises:
- performing a quantization process on a dataset comprising at least one of:
- input visual data of a neural network model used for generating the bitstream, or a parameter of the neural network model;
- and
- generating the bitstream based on the quantization process.
Dependencies are inferred from the claim text.