Hyundai motor company (20240179324). METHOD AND APPARATUS FOR VIDEO CODING USING AN IMPROVED IN-LOOP FILTER simplified abstract
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 Unanswered Questions
- 1.11 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 20240179324 titled 'METHOD AND APPARATUS FOR VIDEO CODING USING AN IMPROVED IN-LOOP FILTER
Simplified Explanation
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 through the application of the generated residual frame to a linear model.
- Video coding method and apparatus using an improved in-loop filter
- Generate residual frame from reconstructed frame using deep learning model
- Improve in-loop filter performance by approximating original residual frame with generated residual frame applied to linear model
Potential Applications
This technology could be applied in various video coding and compression systems to enhance the efficiency and quality of video processing.
Problems Solved
1. Enhances the performance of in-loop filters in video coding systems. 2. Improves the accuracy of approximating original residual frames, leading to better video quality.
Benefits
1. Increased efficiency in video coding processes. 2. Enhanced video quality and compression ratios. 3. Potential for reduced bandwidth usage in video streaming applications.
Potential Commercial Applications
Optimizing video coding and compression in streaming services, video conferencing platforms, surveillance systems, and other multimedia applications.
Possible Prior Art
Prior art in video coding and compression techniques may include traditional methods of in-loop filtering and residual frame generation. However, the use of deep learning models for generating residual frames and improving in-loop filter performance may be a novel approach.
Unanswered Questions
How does the deep learning model improve the accuracy of residual frame generation?
The specific mechanisms and algorithms used in the deep learning model to generate accurate residual frames could be further elaborated upon.
What impact does the improved in-loop filter have on overall video coding efficiency?
It would be beneficial to understand the quantitative improvements in video coding efficiency achieved by the enhanced in-loop filter.
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.
