18515612. ENCODING METHOD AND APPARATUS, DECODING METHOD AND APPARATUS, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM simplified abstract (Huawei Technologies Co., Ltd.)

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ENCODING METHOD AND APPARATUS, DECODING METHOD AND APPARATUS, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM

Organization Name

Huawei Technologies Co., Ltd.

Inventor(s)

Bingyin Xia of Beijing (CN)

Jiawei Li of Beijing (CN)

Zhe Wang of Beijing (CN)

ENCODING METHOD AND APPARATUS, DECODING METHOD AND APPARATUS, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18515612 titled 'ENCODING METHOD AND APPARATUS, DECODING METHOD AND APPARATUS, DEVICE, STORAGE MEDIUM, AND COMPUTER PROGRAM

Simplified Explanation

The patent application describes a method and apparatus for encoding and decoding data, ensuring consistent coding bit quantities for each frame of media data.

  • First latent variable is scaled based on a first variable scale factor to obtain a second latent variable.
  • Quantity of coding bits of entropy coding result of the second latent variable meets a preset encoding rate condition.
  • Consistent quantity of coding bits for entropy coding result of latent variables corresponding to each frame of media data.

Potential Applications

This technology can be applied in video compression, image processing, and data transmission systems.

Problems Solved

Ensures consistent coding bit quantities for each frame of media data, avoiding dynamic changes that can affect data quality.

Benefits

Improved data compression efficiency, better quality of encoded media, and more predictable encoding rates.

Potential Commercial Applications

Optimized Data Compression Technology for Video Streaming.


Original Abstract Submitted

This application disclose an encoding method and apparatus, a decoding method and apparatus, a device, a storage medium, and a computer program, and relate to the field of encoding and decoding technologies. In this method, a first latent variable is scaled based on a first variable scale factor, to obtain a second latent variable, and a quantity of coding bits of an entropy coding result of the second latent variable meets a preset encoding rate condition. This ensures that a quantity of coding bits of an entropy coding result of a latent variable corresponding to each frame of media data can meet the preset encoding rate condition, that is, the quantity of coding bits of the entropy coding result of the latent variable corresponding to each frame of media data can be basically consistent, instead of dynamically changing.