17955746. FRAME SELECTION FOR STREAMING APPLICATIONS simplified abstract (NVIDIA Corporation)
Contents
- 1 FRAME SELECTION FOR STREAMING APPLICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 FRAME SELECTION FOR STREAMING APPLICATIONS - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
FRAME SELECTION FOR STREAMING APPLICATIONS
Organization Name
Inventor(s)
Aurobinda Maharana of Chinchwad (IN)
Vignesh Ungrapalli of Udupi (IN)
Ming-Yu Liu of San Jose CA (US)
FRAME SELECTION FOR STREAMING APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17955746 titled 'FRAME SELECTION FOR STREAMING APPLICATIONS
Simplified Explanation
The patent application addresses reference frame selection in video streaming applications by replacing a first set of frames with a second set of frames containing a non-blurred frame (NBF) based on an indication within the encoded video stream.
- The innovation involves using processing units to dynamically replace frames in a video stream with a non-blurred frame, improving the overall video quality.
- The system utilizes a cache to store frames and efficiently switch them out based on the presence of a non-blurred frame in the stream.
Potential Applications
This technology could be applied in:
- Video streaming services
- Video conferencing platforms
- Virtual reality applications
Problems Solved
- Enhances video quality by replacing blurred frames with non-blurred frames.
- Improves user experience by providing clearer and more detailed video content.
Benefits
- Higher video quality
- Reduced blurriness in video streams
- Enhanced user satisfaction
Potential Commercial Applications
Optimized Video Streaming Technology for Enhanced Quality
Possible Prior Art
There may be prior art related to dynamic frame replacement in video streaming applications, but specific examples are not provided in the abstract.
Unanswered Questions
How does the system determine which frames to replace with the non-blurred frame?
The abstract does not detail the specific algorithm or method used to identify and replace frames in the video stream.
What impact does the dynamic frame replacement have on the overall bandwidth and processing requirements of the system?
The abstract does not mention how the system manages the additional processing load or bandwidth requirements when replacing frames in real-time.
Original Abstract Submitted
Systems and methods herein address reference frame selection in video streaming applications using one or more processing units to replace, during receipt of an encoded video stream, a first set of frames stored in a cache with a second set of frames based at least in part on an indication within the encoded video stream that the second set of frames includes a non-blurred frame (NBF).