Huawei technologies co., ltd. (20240095964). ENCODING AND DECODING METHOD, APPARATUS, AND DEVICE, STORAGE MEDIUM, COMPUTER PROGRAM, AND COMPUTER PROGRAM PRODUCT simplified abstract
Contents
- 1 ENCODING AND DECODING METHOD, APPARATUS, AND DEVICE, STORAGE MEDIUM, COMPUTER PROGRAM, AND COMPUTER PROGRAM PRODUCT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ENCODING AND DECODING METHOD, APPARATUS, AND DEVICE, STORAGE MEDIUM, COMPUTER PROGRAM, AND COMPUTER PROGRAM PRODUCT - 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
ENCODING AND DECODING METHOD, APPARATUS, AND DEVICE, STORAGE MEDIUM, COMPUTER PROGRAM, AND COMPUTER PROGRAM PRODUCT
Organization Name
Inventor(s)
ENCODING AND DECODING METHOD, APPARATUS, AND DEVICE, STORAGE MEDIUM, COMPUTER PROGRAM, AND COMPUTER PROGRAM PRODUCT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095964 titled 'ENCODING AND DECODING METHOD, APPARATUS, AND DEVICE, STORAGE MEDIUM, COMPUTER PROGRAM, AND COMPUTER PROGRAM PRODUCT
Simplified Explanation
The patent application describes methods, apparatuses, and devices related to encoding and decoding technologies, specifically focusing on improving decoding efficiency by grouping feature points and determining probability distributions in parallel.
- Improved decoding efficiency through parallel processing of feature points in groups.
- Encoding process groups feature points in a similar manner to decoding process.
- Sequential encoding of first image features of each group into a bit stream.
- Breakthrough in efficiency bottleneck caused by serial computing in decoding based on a variational auto-encoder (VAE).
Potential Applications
This technology can be applied in image and video compression, data transmission, and machine learning algorithms.
Problems Solved
This technology addresses the efficiency bottleneck caused by serial computing in decoding processes, leading to faster and more effective decoding of data.
Benefits
The benefits of this technology include improved decoding efficiency, faster processing speeds, and enhanced performance of variational auto-encoders.
Potential Commercial Applications
Commercial applications of this technology include multimedia compression software, data transmission systems, and machine learning platforms.
Possible Prior Art
Prior art in the field of encoding and decoding technologies may include traditional methods of feature point grouping and encoding, as well as advancements in parallel processing techniques.
What are the specific numerical values used for grouping feature points in the decoding process?
The specific numerical values used for grouping feature points in the decoding process are not mentioned in the abstract. Further details may be provided in the full patent application.
How does this technology compare to existing parallel processing methods in terms of decoding efficiency?
The abstract does not provide a direct comparison of this technology to existing parallel processing methods in terms of decoding efficiency. Further information on performance metrics and benchmarks may be needed to make a comprehensive comparison.
Original Abstract Submitted
embodiments of this application disclose encoding and decoding methods, apparatuses, and devices, a storage medium, and a computer program, which relate to the field of encoding and decoding technologies. in embodiments of this application, in a decoding process, a plurality of feature points are divided into a plurality of groups based on a specified numerical value, and probability distributions of feature points in a same group are determined in parallel to improve decoding efficiency. correspondingly, in an encoding process, the plurality of feature points are also grouped in a same grouping manner, and first image features of each group of feature points in the plurality of groups are sequentially encoded into a bit stream. to be concise, this solution can break through an efficiency bottleneck caused by serial computing when decoding is performed based on a variational auto-encoder (vae), thereby effectively improving decoding efficiency.
