18426793. METHOD AND APPARATUS FOR VIDEO CODING USING AN IMPROVED IN-LOOP FILTER simplified abstract (Hyundai Motor Company)
Contents
- 1 METHOD AND APPARATUS FOR VIDEO CODING USING AN IMPROVED IN-LOOP FILTER
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR VIDEO CODING USING AN IMPROVED IN-LOOP FILTER - 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
METHOD AND APPARATUS FOR VIDEO CODING USING AN IMPROVED IN-LOOP FILTER
Organization Name
Inventor(s)
Seung Wook Park of Yongin-si (KR)
METHOD AND APPARATUS FOR VIDEO CODING USING AN IMPROVED IN-LOOP FILTER - A simplified explanation of the abstract
This abstract first appeared for US patent application 18426793 titled 'METHOD AND APPARATUS FOR VIDEO CODING USING AN IMPROVED IN-LOOP FILTER
Simplified Explanation
The abstract of the patent application describes a method and apparatus for video coding using an improved in-loop filter. The method involves generating a residual frame from a reconstructed frame using a deep learning model, and then improving the performance of an in-loop filter by approximating an original residual frame with the generated residual frame applied to a linear model.
- The method involves generating a residual frame from a reconstructed frame using a deep learning model.
- The in-loop filter performance is improved by approximating an original residual frame with the generated residual frame applied to a linear model.
Potential Applications
This technology could be applied in:
- Video compression algorithms
- Real-time video streaming services
- Video editing software
Problems Solved
This technology solves:
- Enhanced video quality
- Improved compression efficiency
- Reduced bandwidth usage
Benefits
The benefits of this technology include:
- Higher quality video output
- More efficient video compression
- Cost-effective video streaming services
Potential Commercial Applications
The potential commercial applications of this technology include:
- Video streaming platforms
- Video editing software companies
- Telecommunication companies
Possible Prior Art
One possible prior art for this technology could be:
- Existing video coding methods using traditional in-loop filters
What is the accuracy rate of the deep learning model in generating the residual frame?
The accuracy rate of the deep learning model in generating the residual frame is not specified in the abstract.
How does the linear model improve the performance of the in-loop filter?
The linear model improves the performance of the in-loop filter by approximating the original residual frame with the generated residual frame, leading to better video coding efficiency.
Original Abstract Submitted
A method and an apparatus are disclosed for video coding using an improved in-loop filter. The video coding method and the apparatus generate a residual frame from a reconstructed frame using a deep learning model. The video coding method and the apparatus improve performance of an in-loop filter by approximating an original residual frame by applying the generated residual frame to a linear model.
