18463051. METHOD, APPARATUS AND STORAGE MEDIUM FOR IMAGE ENCODING/DECODING simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
- 1 METHOD, APPARATUS AND STORAGE MEDIUM FOR IMAGE ENCODING/DECODING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD, APPARATUS AND STORAGE MEDIUM FOR IMAGE ENCODING/DECODING - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
METHOD, APPARATUS AND STORAGE MEDIUM FOR IMAGE ENCODING/DECODING
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
METHOD, APPARATUS AND STORAGE MEDIUM FOR IMAGE ENCODING/DECODING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18463051 titled 'METHOD, APPARATUS AND STORAGE MEDIUM FOR IMAGE ENCODING/DECODING
Simplified Explanation
The abstract describes a method, apparatus, and storage medium for image encoding/decoding using selective compression learning of latent representations for variable-rate image compression.
- Selective compression learning of latent representations for variable-rate image compression
- Partially encoding latent representations in a generalized manner for deep-learning-based variable-rate image compression
- Adaptive determination of essential representation elements for compression at different target quality levels
Potential Applications
The technology described in the patent application could be applied in various fields such as:
- Image and video compression
- Data storage and transmission
- Machine learning and artificial intelligence
Problems Solved
The innovation addresses the following issues:
- Efficient image compression at variable rates
- Adaptive determination of essential representation elements for compression
- Generalized encoding of latent representations for deep-learning-based compression
Benefits
The technology offers several benefits, including:
- Improved image compression quality
- Adaptive compression based on target quality levels
- Efficient use of storage space and bandwidth
Potential Commercial Applications
The technology could be utilized in the following commercial applications:
- Cloud storage services
- Video streaming platforms
- Image editing software
Possible Prior Art
One possible prior art in this field is the use of traditional image compression algorithms such as JPEG and PNG. These methods may not offer the same level of adaptability and efficiency as the selective compression learning of latent representations described in the patent application.
Unanswered Questions
How does the technology compare to existing image compression methods in terms of compression efficiency and quality?
The article does not provide a direct comparison with traditional image compression algorithms like JPEG or newer methods like HEVC.
What are the computational requirements for implementing the selective compression learning of latent representations in practical applications?
The article does not delve into the computational complexity or resource requirements for deploying the technology in real-world scenarios.
Original Abstract Submitted
Disclosed herein are a method, apparatus, and storage medium for image encoding/decoding. Selective compression learning of latent representations for variable-rate image compression is used for the method, apparatus, and storage medium. A selective compression method that partially encodes latent representations in a completely generalized manner for deep-learning-based variable-rate image compression is disclosed in embodiments. The methods of the embodiments adaptively determine essential representation elements for compression at different target quality levels.
