Samsung electronics co., ltd. (20240202942). IMAGE PROCESSING DEVICE DETERMINING MOTION VECTOR BETWEEN FRAMES, AND METHOD THEREBY simplified abstract
Contents
IMAGE PROCESSING DEVICE DETERMINING MOTION VECTOR BETWEEN FRAMES, AND METHOD THEREBY
Organization Name
Inventor(s)
Taeyoung Jang of Suwon-si (KR)
Kwangpyo Choi of Suwon-si (KR)
IMAGE PROCESSING DEVICE DETERMINING MOTION VECTOR BETWEEN FRAMES, AND METHOD THEREBY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240202942 titled 'IMAGE PROCESSING DEVICE DETERMINING MOTION VECTOR BETWEEN FRAMES, AND METHOD THEREBY
The abstract describes an image processing device that analyzes frames and feature maps to identify motion vectors.
- Obtains difference maps between a first frame or feature map and second feature maps of a second frame.
- Performs pooling processes on the difference maps to obtain third and fourth feature maps.
- Weighted-sums the third and fourth feature maps to obtain modified difference maps.
- Identifies collocated samples based on sample values in the modified difference maps.
- Determines filter kernels to obtain second feature maps based on the identified collocated samples.
Potential Applications: - Video processing for motion tracking - Image stabilization in photography and videography - Object tracking in surveillance systems
Problems Solved: - Efficient motion vector estimation - Improved image quality in video processing - Enhanced object tracking accuracy
Benefits: - Higher accuracy in motion tracking - Reduced computational complexity - Enhanced image stabilization capabilities
Commercial Applications: Title: Advanced Motion Tracking Technology for Video Processing This technology can be utilized in industries such as: - Entertainment (film production, animation) - Security (surveillance systems) - Photography and videography equipment manufacturers
Prior Art: Research on motion estimation algorithms in video processing and image analysis can provide insights into similar technologies.
Frequently Updated Research: Stay updated on advancements in motion tracking algorithms and image processing techniques for potential improvements in this technology.
Questions about Image Processing and Motion Tracking: 1. How does this technology improve motion tracking accuracy compared to traditional methods? 2. What are the key factors influencing the efficiency of filter kernel determination in motion vector estimation?
Original Abstract Submitted
an image processing device configured to obtain difference maps between a first frame or a first feature map corresponding to the first frame, and second feature maps corresponding to a second frame, obtain third feature maps and fourth feature maps by performing pooling processes on the difference maps according to a first size and a second size, obtain modified difference maps by weighted-summing the third feature maps and the fourth feature maps, identify any one collocated sample based on sizes of sample values of collocated samples of the modified difference maps corresponding to a current sample of the first frame, and determine a filter kernel used to obtain the second feature map corresponding to the modified difference map including the identified collocated sample, as a motion vector of the current sample.
