Huawei technologies co., ltd. (20240098294). LIMITED MEMORY ACCESS WINDOW FOR MOTION VECTOR REFINEMENT simplified abstract
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 20240098294 titled 'LIMITED MEMORY ACCESS WINDOW FOR MOTION VECTOR REFINEMENT
Simplified Explanation
The present disclosure relates to motion vector refinement in video processing.
- An initial motion vector and a template for the block are obtained.
- 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 within a window.
Potential Applications
This technology can be applied in video compression, video encoding, video streaming, and motion estimation in video processing.
Problems Solved
1. Improved accuracy in motion vector estimation. 2. Enhanced video quality in video processing applications.
Benefits
1. Higher quality video output. 2. More efficient video compression. 3. Enhanced video streaming performance.
Potential Commercial Applications
"Motion Vector Refinement Technology in Video Processing" can be utilized in industries such as entertainment, broadcasting, surveillance, and video conferencing.
Possible Prior Art
One possible prior art in this field is the use of block matching algorithms for motion estimation in video processing.
What is the impact of motion vector refinement technology on video compression efficiency?
Motion vector refinement technology can significantly improve the efficiency of video compression by providing more accurate motion estimation, leading to better prediction of video frames and reducing the amount of data needed to represent the video content.
How does template matching with a search space enhance the quality of motion vector estimation in video processing?
Template matching with a search space allows for a more thorough exploration of potential motion vectors, leading to a more precise estimation of motion in video frames. This enhanced quality of motion vector estimation results in improved video compression efficiency and overall video quality.
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.
