18241640. METHOD AND APPARATUS FOR VIDEO CODING USING MATRIX BASED CROSS-COMPONENT PREDICTION simplified abstract (HYUNDAI MOTOR COMPANY)

METHOD AND APPARATUS FOR VIDEO CODING USING MATRIX BASED CROSS-COMPONENT PREDICTION

Organization Name

HYUNDAI MOTOR COMPANY

Inventor(s)

Yong Jo Ahn of Seoul (KR)

Jong Seok Lee of Seoul (KR)

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. This technique predicts the chroma component of a current block by utilizing a deep learning-based matrix operation. The prediction is made based on the chroma component of a neighboring block and the corresponding luma component of another neighboring block.

• The method and apparatus use a matrix-based cross-component prediction for video coding.
• The prediction is made by applying a deep learning-based matrix operation.
• The prediction is based on the chroma component of a neighboring block.
• The prediction also considers the corresponding luma component of another neighboring block.
• This technique improves the accuracy of predicting the chroma component of a current block.

Potential Applications

• Video compression and encoding algorithms.
• Video streaming services.
• Video surveillance systems.
• Video conferencing and telecommunication applications.

Problems Solved

• Improves the accuracy of predicting the chroma component in video coding.
• Enhances the efficiency of video compression and encoding.
• Reduces the bandwidth required for video streaming.
• Improves the quality of video surveillance systems.
• Enhances the performance of video conferencing and telecommunication applications.

Benefits

• Higher accuracy in predicting the chroma component leads to improved video quality.
• More efficient video compression and encoding algorithms.
• Reduced bandwidth requirements for video streaming, resulting in cost savings.
• Enhanced performance and accuracy in video surveillance systems.
• Improved video conferencing and telecommunication experiences.

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.