18472049. LIMITED MEMORY ACCESS WINDOW FOR MOTION VECTOR REFINEMENT simplified abstract (Huawei Technologies Co., Ltd.)
Contents
- 1 LIMITED MEMORY ACCESS WINDOW FOR MOTION VECTOR REFINEMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 LIMITED MEMORY ACCESS WINDOW FOR MOTION VECTOR REFINEMENT - 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
LIMITED MEMORY ACCESS WINDOW FOR MOTION VECTOR REFINEMENT
Organization Name
Inventor(s)
Anand Meher Kotra of Munich (DE)
LIMITED MEMORY ACCESS WINDOW FOR MOTION VECTOR REFINEMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18472049 titled 'LIMITED MEMORY ACCESS WINDOW FOR MOTION VECTOR REFINEMENT
Simplified Explanation
The present disclosure relates to motion vector refinement. An initial motion vector and a template for the block are obtained, and the refinement of the initial motion vector is determined by template matching with the template in a search space. The search space includes fractional sample positions obtained by interpolation filtering with a predefined tap-size filter, assessing integer samples only within a window formed by integer samples accessible for the template matching.
- Motion vector refinement process:
- Obtain initial motion vector and block template - Refine initial motion vector through template matching in a search space - Search space includes fractional sample positions obtained by interpolation filtering with a predefined tap-size filter
- Template matching with search space:
- Search space located based on initial motion vector - Fractional sample positions obtained by interpolation filtering within a window of integer samples
Potential Applications
This technology can be applied in video compression algorithms, motion estimation in video processing, and image stabilization techniques.
Problems Solved
This technology helps improve the accuracy of motion vector estimation, leading to better video quality, reduced compression artifacts, and enhanced image stabilization.
Benefits
- Enhanced video quality - Reduced compression artifacts - Improved image stabilization
Potential Commercial Applications
- Video streaming services - Video surveillance systems - Virtual reality applications
Possible Prior Art
One possible prior art could be the use of motion estimation algorithms in video compression standards like H.264 or HEVC.
Unanswered Questions
How does this technology compare to existing motion vector refinement techniques?
This article does not provide a direct comparison with existing motion vector refinement techniques. Further research or experimentation may be needed to evaluate the performance of this technology against other methods.
What impact could this technology have on real-time video processing applications?
The article does not discuss the potential impact of this technology on real-time video processing applications. Future studies could explore the feasibility and efficiency of implementing this technology in real-time systems.
Original Abstract Submitted
The present disclosure relates to motion vector refinement. As a first step, an initial motion vector and a template for the block are obtained. Then, the refinement of the initial motion vector is determined by template matching with said template in a search space. The search space is located on a position given by the initial motion vector and includes one or more fractional sample positions, wherein each of the fractional sample positions belonging to the search space is obtained by interpolation filtering with a filter of a predefined tap-size assessing integer samples only within a window, said window being formed by integer samples accessible for the template matching in said search space.
