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US 2025/0168369 A1Published application
Neural network-based adaptive image and video compression method with variable rate
AssigneeBytedance Inc.
InventorsSemih Esenlik, Zhaobin Zhang, Kai Zhang, Li Zhang
Life of this patent
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Abstract
A mechanism for processing video data is in a neural network disclosed. The mechanism includes obtaining quantized residual latent samples. The quantized residual latent samples are processed to obtain processed quantized residual latent samples. A reconstructed latent sample can then be acquired based on the processed quantized residual latent sample.
Claims20
A method for visual data processing comprising:
- obtaining a quantized residual latent sample for each component of visual data;
- performing a first processing on the quantized residual latent sample to de-scale the quantized residual latent sample to obtain a processed quantized residual latent sample;
- and
- acquiring a reconstructed latent sample based on the processed quantized residual latent sample.
1 more element
A method for visual data processing comprising:
- acquiring a residual latent sample for each component of visual data;
- performing a second processing on the residual latent sample to scale the residual latent sample to obtain a processed residual latent sample;
- and
- processing the processed residual latent sample to acquire a quantized residual latent sample.
1 more element
An apparatus for processing visual data comprising:
- a processor;
- and a non-transitory memory with instructions thereon, wherein the instructions upon execution by the processor, cause the processor to:
- obtain a quantized residual latent sample for each component of visual data;
- perform a first processing on the quantized residual latent sample to de-scale the quantized residual latent sample to obtain a processed quantized residual latent sample;
- and
- acquire a reconstructed latent sample based on the processed quantized residual latent sample.
3 more elements
An apparatus for processing visual data comprising:
- a processor;
- and a non-transitory memory with instructions thereon, wherein the instructions upon execution by the processor, cause the processor to:
- acquire a residual latent sample for each component of visual data;
- perform a second processing on the residual latent sample to scale the residual latent sample to obtain a processed residual latent sample;
- and
- process the processed residual latent sample to acquire a quantized residual latent sample.
3 more elements
Dependencies are inferred from the claim text.