Nvidia corporation (20240127572). REAL-TIME OCCLUSION DETECTION BETWEEN FRAMES FOR VIDEO STREAMING SYSTEMS AND APPLICATIONS simplified abstract

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REAL-TIME OCCLUSION DETECTION BETWEEN FRAMES FOR VIDEO STREAMING SYSTEMS AND APPLICATIONS

Organization Name

nvidia corporation

Inventor(s)

Karthick Sekkappan of Pune (IN)

Aurobinda Maharana of Chinchwad (IN)

REAL-TIME OCCLUSION DETECTION BETWEEN FRAMES FOR VIDEO STREAMING SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240127572 titled 'REAL-TIME OCCLUSION DETECTION BETWEEN FRAMES FOR VIDEO STREAMING SYSTEMS AND APPLICATIONS

Simplified Explanation

The patent application describes systems and methods for estimating occluded pixels in frames of a video sequence by using optical flow data to determine the validity of forward and backward flow vectors for common pixel locations in adjacent frames. Occlusion information in each frame helps identify hidden pixels in the other frame during playback.

  • Systems and methods for estimating occluded pixels in video frames
  • Use of optical flow data to determine flow vectors for common pixel locations
  • Occlusion information in each frame helps identify hidden pixels in the other frame
  • Helps improve video quality and accuracy in object tracking

Potential Applications

This technology can be applied in various fields such as:

  • Video surveillance
  • Video editing and post-production
  • Virtual reality and augmented reality
  • Autonomous driving systems

Problems Solved

  • Improves accuracy in object tracking in video sequences
  • Enhances video quality by estimating occluded pixels
  • Helps in better understanding of complex scenes in videos

Benefits

  • Enhanced video quality and accuracy
  • Improved object tracking in video sequences
  • Increased efficiency in video editing and post-production processes

Potential Commercial Applications

  • Software development for video editing tools
  • Integration into surveillance systems for improved tracking
  • Licensing technology to companies developing virtual reality applications

Possible Prior Art

One possible prior art related to this technology is the use of optical flow algorithms in video processing to estimate motion between frames. These algorithms have been used in various applications such as object tracking and video stabilization.

Unanswered Questions

How does this technology compare to existing methods for estimating occluded pixels in video frames?

This technology uses occlusion information and optical flow data to estimate occluded pixels, but how does it compare in terms of accuracy and efficiency to other methods available in the market?

What are the potential limitations of this technology in real-world applications?

While the patent application describes the benefits and applications of this technology, what are some potential limitations or challenges that may arise when implementing it in real-world scenarios?


Original Abstract Submitted

systems and methods estimate occluded pixels in frames of a video sequence. optical flow data is received to determine a validity for forward and backward flow vectors for a common pixel location in a first frame and a second frame that are temporally next to one another. occlusion information for the first frame determines pixels that are hidden in the second frame with respect to playback from the first frame to the second frame. occlusion information for the second frame determines pixels that are hidden in the first frame with respect to playback from the second frame to the first frame.