18412045. CODING OF INFORMATION ABOUT TRANSFORM KERNEL SET simplified abstract (LG ELECTRONICS INC.)
Contents
- 1 CODING OF INFORMATION ABOUT TRANSFORM KERNEL SET
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CODING OF INFORMATION ABOUT TRANSFORM KERNEL SET - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
CODING OF INFORMATION ABOUT TRANSFORM KERNEL SET
Organization Name
Inventor(s)
CODING OF INFORMATION ABOUT TRANSFORM KERNEL SET - A simplified explanation of the abstract
This abstract first appeared for US patent application 18412045 titled 'CODING OF INFORMATION ABOUT TRANSFORM KERNEL SET
Simplified Explanation
The image decoding method described in the abstract involves acquiring a multiple transform selection (MTS) index and residual information from a bitstream, deriving transform coefficients for the current block based on the residual information, and generating residual samples of the current block based on the MTS index and the transform coefficients. Context coding is performed on at least one bin of the MTS index, using values of increase and decrease in a context index related to the MTS index.
- Acquiring a multiple transform selection (MTS) index and residual information from a bitstream
- Deriving transform coefficients for the current block based on the residual information
- Generating residual samples of the current block based on the MTS index and the transform coefficients
- Context coding performed on at least one bin of the MTS index using values of increase and decrease in a context index pertaining to the MTS index
Potential Applications
This technology could be applied in image and video decoding systems, particularly in the field of multimedia compression and decompression.
Problems Solved
This technology helps improve the efficiency and accuracy of image decoding processes by utilizing context coding and multiple transform selection techniques.
Benefits
The benefits of this technology include enhanced image quality, reduced data size, and faster decoding speeds in multimedia applications.
Potential Commercial Applications
Potential commercial applications of this technology include video streaming services, digital media players, and image processing software.
Possible Prior Art
One possible prior art in this field could be the use of context-based coding techniques in image and video compression standards like JPEG and H.264.
What is the impact of this technology on current image decoding methods?
This technology improves the efficiency and accuracy of image decoding processes by utilizing context coding and multiple transform selection techniques, leading to better image quality and reduced data size.
How does this technology contribute to advancements in multimedia compression and decompression?
This technology contributes to advancements in multimedia compression and decompression by optimizing the decoding process through the use of context coding and multiple transform selection, resulting in faster decoding speeds and improved image quality.
Original Abstract Submitted
An image decoding method includes: acquiring a multiple transform selection (MTS) index and residual information from a bitstream; deriving transform coefficients for the current block on the basis of the residual information; and generating residual samples of the current block on the basis of the MTS index and the transform coefficients, wherein the MTS index indicates a transform kernel set to be applied to the current block among transform kernel set candidates, at least one bin among bins of a bin string of the MTS index is derived on the basis of context coding, the context coding is performed on the basis of values of increase and decrease in a context index pertaining to the MTS index, and a single value of increase and decrease in the context index can be used for the context coding of the first bin among the bins of the bin string.
