US Patent Application 18320221. METHOD FOR CHROMA SUBSAMPLED FORMATS HANDLING IN MACHINE-LEARNING-BASED PICTURE CODING simplified abstract
METHOD FOR CHROMA SUBSAMPLED FORMATS HANDLING IN MACHINE-LEARNING-BASED PICTURE CODING
Organization Name
Inventor(s)
Elena Alexandrovna Alshina of Munich (DE)
METHOD FOR CHROMA SUBSAMPLED FORMATS HANDLING IN MACHINE-LEARNING-BASED PICTURE CODING - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 18320221 Titled 'METHOD FOR CHROMA SUBSAMPLED FORMATS HANDLING IN MACHINE-LEARNING-BASED PICTURE CODING'
Simplified Explanation
The abstract describes a method for encoding and decoding pictures or videos. It explains that a picture is made up of a luma component (brightness) and a chroma component (color) with a lower resolution. To match the resolutions of both components, a selection is made between reducing the resolution of the luma component or increasing the resolution of the chroma component. The chosen processing is then applied to the picture, and a bitstream is generated based on the selected processing. This selection allows for adapting the picture for different applications, such as reducing complexity or bitrate, or aiming for higher quality.
Original Abstract Submitted
The present disclosure relates to picture or video encoding and decoding. A picture portion includes a luma component and a chroma component with a resolution lower than a resolution of the luma component. To obtain matching resolution of the luma component and the chroma component, a selection is performed between a down-sampling processing of the luma component and an up-sampling processing of the chroma component. Then, the selected processing is applied to a picture portion. The bitstream is then generated based on the selected processing, and includes encoding the processed picture portion. The selection between chroma up-sampling and luma down-sampling enables adaption of the input picture portion for the desired application. For example, some applications may aim at reducing complexity or bitrate in which case the luma down-sampling may be more favorable, whereas other application may aim at higher quality in which case chroma up-sampling may be more favorable.
