17957423. ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES simplified abstract (NVIDIA Corporation)
Contents
- 1 ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES - 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
ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES
Organization Name
Inventor(s)
Karthick Sekkappan of Pune (IN)
Aurobinda Maharana of Chinchwad (IN)
ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17957423 titled 'ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES
Simplified Explanation
The patent application describes systems and methods for estimating optical flow vectors for occluded pixels in a video sequence, identifying regions of occluded pixels, and determining the cause of occlusion. Different estimation techniques are applied based on the cause of occlusion to provide lightweight and less resource-intensive estimation of optical flow data.
- Estimation techniques are tailored based on the cause of occlusion, such as movement out of the frame or foreground movement.
- Optical flow vectors are estimated for occluded pixels using specific techniques depending on the cause of occlusion.
Potential Applications
This technology could be applied in various fields such as:
- Video surveillance
- Autonomous vehicles
- Augmented reality
Problems Solved
This technology helps in:
- Improving object tracking in videos
- Enhancing video quality by filling in missing optical flow data
Benefits
The benefits of this technology include:
- More accurate estimation of optical flow vectors
- Efficient resource utilization
- Enhanced video analysis capabilities
Potential Commercial Applications
The potential commercial applications of this technology include:
- Video editing software
- Security camera systems
- Virtual reality applications
Possible Prior Art
One possible prior art for this technology could be the use of motion estimation algorithms in video processing software to predict object movement between frames.
Unanswered Questions
How does this technology compare to existing optical flow estimation methods?
This article does not provide a direct comparison with existing optical flow estimation methods. It would be helpful to know the specific advantages and limitations of this technology compared to traditional methods.
What are the computational requirements for implementing this technology?
The article does not mention the computational resources needed to implement this technology. Understanding the computational demands can help in assessing the feasibility of integrating this technology into different systems.
Original Abstract Submitted
Systems and methods estimate optical flow vectors for occluded pixels between frames of a video sequence. Regions of occluded pixels may be identified and a cause of their occlusion may be determined. Different estimation techniques may be applied based, at least in part, on the cause of occlusion to provide a lightweight, less resource intensive estimation of optical flow data. Optical flow vectors for pixels that are occluded due to movement out of a frame may be estimated using a first technique while optical flow vectors for pixels that are occluded due to foreground movement may be estimated using a second technique.
