17943683. Dynamic Quantization Parameter for Encoding a Video Frame simplified abstract (Google LLC)
Contents
- 1 Dynamic Quantization Parameter for Encoding a Video Frame
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Dynamic Quantization Parameter for Encoding a Video Frame - 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
Dynamic Quantization Parameter for Encoding a Video Frame
Organization Name
Inventor(s)
Michael Horowitz of Austin TX (US)
Marco Paniconi of Campbell CA (US)
Dynamic Quantization Parameter for Encoding a Video Frame - A simplified explanation of the abstract
This abstract first appeared for US patent application 17943683 titled 'Dynamic Quantization Parameter for Encoding a Video Frame
Simplified Explanation
The abstract describes a computer-implemented method for setting a maximum quantization parameter (QP) value for encoding video frames based on various proportions and average QP values of previous frames.
- The method sets a maximum QP value for encoding a video frame based on a first proportion of an application-specified maximum QP value, or a second QP value determined by the minimum of a third QP value based on the average QP values of previous frames, or a fourth QP value based on a second proportion of the application-specified maximum QP value.
- The set maximum QP value is used as a quality bound for encoding the input video frame.
Potential Applications
This technology could be applied in video encoding software to optimize the quality of encoded video frames while maintaining a consistent level of compression.
Problems Solved
This technology helps address the challenge of balancing video quality and compression efficiency in video encoding processes.
Benefits
- Improved video quality in encoded frames - Enhanced compression efficiency for video files
Potential Commercial Applications
"Optimizing Video Encoding Quality with Dynamic Quantization Parameters" could be used in video streaming services, video editing software, and video compression tools.
Possible Prior Art
One possible prior art could be dynamic bitrate control algorithms used in video encoding processes to adjust the bitrate based on the complexity of video frames.
Unanswered Questions
How does this method compare to existing techniques in terms of computational efficiency?
The abstract does not provide information on the computational overhead of implementing this method compared to traditional video encoding approaches.
What impact does this method have on real-time video encoding applications?
It is unclear from the abstract how this method may affect the performance of real-time video encoding systems in terms of latency and processing speed.
Original Abstract Submitted
A computer-implemented method includes setting, by a computing device, a maximum quantization parameter (QP) value for encoding an input video frame to a value which is the maximum of: a first QP value corresponding to a first proportion of an application-specified maximum QP value, or a second QP value determined based on a value which is the minimum of: a third QP value determined based on an average value of QP values used to encode a plurality of video frames before the input video frame, or a fourth QP value corresponding to a second proportion of the application-specified maximum QP value. The computer-implemented method further includes using the set maximum QP value as a quality bound for encoding the input video frame.
