Huawei technologies co., ltd. (20240251092). CHROMA BLOCK PREDICTION METHOD AND DEVICE simplified abstract
CHROMA BLOCK PREDICTION METHOD AND DEVICE
Organization Name
Inventor(s)
Jianle Chen of San Diego CA (US)
CHROMA BLOCK PREDICTION METHOD AND DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240251092 titled 'CHROMA BLOCK PREDICTION METHOD AND DEVICE
The present disclosure introduces a method and device for chroma block prediction in video processing.
- Parsing a bitstream to extract indication information.
- Downsampling a luma block using different filters based on the indication information.
- Obtaining chroma and luma samples.
- Calculating linear model coefficients from the samples.
- Predicting the current chroma block using the luma block and model coefficients.
Potential Applications: - Video encoding and decoding systems. - Image processing applications. - Multimedia streaming services.
Problems Solved: - Improving video compression efficiency. - Enhancing video quality. - Reducing data transmission bandwidth.
Benefits: - Higher compression rates. - Improved video quality. - Reduced bandwidth requirements.
Commercial Applications: Title: Enhanced Video Compression Technology for Multimedia Services This technology can be utilized in: - Video streaming platforms. - Video conferencing systems. - Broadcast television networks.
Questions about Chroma Block Prediction: 1. How does downsampling affect the prediction accuracy of chroma blocks?
Downsampling with different filters based on indication information can optimize the prediction process.
2. What are the key advantages of using linear model coefficients for chroma block prediction?
Linear model coefficients provide a mathematical basis for accurate chroma block predictions.
Original Abstract Submitted
the present disclosure provides a chroma block prediction method and a device. the method includes: parsing a bitstream to obtain first indication information; downsampling a first luma block by a first filter when a value of the first indication information is a first value or by using a second filter when a value of the first indication information is a second value, to obtain a second luma block; obtaining a plurality of chroma samples and a plurality of luma samples; obtaining linear model coefficients based on the plurality of chroma samples and the plurality of luma samples; and obtaining a prediction value of the current chroma block based on the second luma block and the linear model coefficients.
