18241640. METHOD AND APPARATUS FOR VIDEO CODING USING MATRIX BASED CROSS-COMPONENT PREDICTION simplified abstract (KIA CORPORATION)
METHOD AND APPARATUS FOR VIDEO CODING USING MATRIX BASED CROSS-COMPONENT PREDICTION
Organization Name
Inventor(s)
Seung Wook Park of Yongin-si (KR)
METHOD AND APPARATUS FOR VIDEO CODING USING MATRIX BASED CROSS-COMPONENT PREDICTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18241640 titled 'METHOD AND APPARATUS FOR VIDEO CODING USING MATRIX BASED CROSS-COMPONENT PREDICTION
Simplified Explanation
The patent application describes a method and apparatus for video coding using a matrix-based cross-component prediction. Here is a simplified explanation of the abstract:
- The video coding method and apparatus use a deep learning-based matrix operation to predict the chroma component of a current block.
- The prediction is made by considering a chroma component that is spatially adjacent to the chroma block of the current block.
- Additionally, the prediction takes into account a luma component that is spatially adjacent to the luma block corresponding to the chroma block.
Potential applications of this technology:
- Video compression: The method and apparatus can be used in video coding algorithms to improve the compression efficiency by accurately predicting the chroma component of a block.
- Video streaming: By efficiently coding and compressing video data, this technology can enhance video streaming services by reducing bandwidth requirements and improving video quality.
Problems solved by this technology:
- In video coding, accurately predicting the chroma component of a block is crucial for efficient compression. This technology solves the problem of improving the accuracy of chroma component prediction.
- By using a deep learning-based matrix operation, this method and apparatus overcome the limitations of traditional prediction techniques, resulting in better video coding performance.
Benefits of this technology:
- Improved compression efficiency: The accurate prediction of the chroma component leads to better compression, reducing the file size of video data without significant loss in quality.
- Enhanced video quality: By accurately predicting the chroma component, this technology helps maintain the visual quality of the video during compression and decompression processes.
- Reduced bandwidth requirements: Efficient video coding reduces the amount of data that needs to be transmitted, resulting in lower bandwidth requirements for video streaming and storage.
Original Abstract Submitted
A method and an apparatus for video coding using a matrix-based cross-component prediction are disclosed. The video coding method and apparatus predict a chroma component of a current block, by using a deep learning-based matrix operation, from a chroma component spatially adjacent to a chroma block of the current block and from a luma component spatially adjacent to a luma block corresponding to the chroma block.
