18388761. METHODS FOR EFFICENT APPLICATION OF LGT simplified abstract (TENCENT AMERICA LLC)
Contents
- 1 METHODS FOR EFFICENT APPLICATION OF LGT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHODS FOR EFFICENT APPLICATION OF LGT - 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
METHODS FOR EFFICENT APPLICATION OF LGT
Organization Name
Inventor(s)
METHODS FOR EFFICENT APPLICATION OF LGT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18388761 titled 'METHODS FOR EFFICENT APPLICATION OF LGT
Simplified Explanation
The patent application describes a method of decoding image data by selecting a hybrid transform kernel for decoding a dequantized block of an image based on associations between prediction modes and block sizes.
- Generating a dequantized block of an image from a coded bitstream.
- Determining whether to use an implicit or explicit method for selecting a hybrid transform kernel.
- Selecting a hybrid transform kernel based on the chosen method.
- Performing inverse transform coding of the dequantized block using the selected hybrid transform kernel.
Potential Applications
This technology could be applied in image and video processing applications, such as video compression and transmission systems.
Problems Solved
This technology helps improve the efficiency and accuracy of image decoding by selecting the most appropriate hybrid transform kernel based on prediction modes and block sizes.
Benefits
The method can lead to better image quality, reduced data size, and improved decoding speed in image processing systems.
Potential Commercial Applications
This technology could be utilized in video streaming services, surveillance systems, medical imaging devices, and other applications requiring efficient image decoding.
Possible Prior Art
One possible prior art could be the use of adaptive transform kernels in image and video compression standards like HEVC and AV1.
What are the specific prediction modes used in this method?
The specific prediction modes used in this method are not explicitly mentioned in the abstract. However, they play a crucial role in determining the hybrid transform kernel selected for decoding the dequantized block.
How does the method handle different block sizes during decoding?
The method handles different block sizes during decoding by associating them with specific prediction modes to determine the available hybrid transform kernels for decoding the dequantized block.
Original Abstract Submitted
A method of decoding image data is provided. The method may include generating a dequantized block of an image based on a coded bitstream; determining whether to use one from among an implicit method and an explicit method for selecting a hybrid transform kernel from among one or more hybrid transform kernel that are available for decoding the dequantized block, wherein the one or more hybrid transform kernel are available for decoding the dequantized block based on associations between prediction modes and sizes of blocks; selecting, by using the one from among the implicit method and the explicit method, the hybrid transform kernel from among the one or more hybrid transform kernel; and performing inverse transform coding of the dequantized block based on the selected hybrid transform kernel.
