17943645. Setting a Maximum Quantization Parameter for Encoding a Video Frame simplified abstract (Google LLC)

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Setting a Maximum Quantization Parameter for Encoding a Video Frame

Organization Name

Google LLC

Inventor(s)

Michael Horowitz of Austin TX (US)

Danil Chapovalov of Stockholm (SE)

Marco Paniconi of Campbell CA (US)

Setting a Maximum Quantization Parameter for Encoding a Video Frame - A simplified explanation of the abstract

This abstract first appeared for US patent application 17943645 titled 'Setting a Maximum 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 a specific type of video frame in a videoconference.

  • The method involves setting the maximum QP value based on either the average QP values used to encode video frames before the specific type of frame, or an application-specified maximum QP value.
  • The predetermined type of video frame is then encoded using the set maximum QP value.

Potential Applications

This technology could be applied in video conferencing software to optimize the encoding of video frames and improve video quality during conferences.

Problems Solved

This technology solves the problem of efficiently encoding specific types of video frames in a videoconference to ensure optimal video quality while conserving bandwidth.

Benefits

The benefits of this technology include improved video quality, reduced bandwidth usage, and a better overall video conferencing experience for participants.

Potential Commercial Applications

One potential commercial application of this technology is in video conferencing platforms and software, where it can be integrated to enhance video quality and performance.

Possible Prior Art

One possible prior art for this technology could be existing video encoding algorithms and methods used in video conferencing software to optimize video quality and bandwidth usage.

Unanswered Questions

How does this technology impact the overall performance of video conferencing software?

This technology can significantly improve the performance of video conferencing software by optimizing the encoding process and enhancing video quality, but the specific impact on performance metrics such as latency and frame rate is not addressed in the abstract.

What are the potential limitations or drawbacks of implementing this technology in video conferencing systems?

While the abstract highlights the benefits of this technology, it does not discuss any potential limitations or drawbacks that may arise from implementing it in video conferencing systems. These could include compatibility issues with existing software, increased computational requirements, or challenges in implementation for certain types of video frames.


Original Abstract Submitted

A computer-implemented method includes setting, by a participant computing device participating in a videoconference, a maximum quantization parameter (QP) value for encoding a predetermined type of video frame to a value which is the lesser of: a first QP value determined based on an average value of QP values used to encode video frames before the predetermined type of video frame, or a second QP value corresponding to an application-specified maximum QP value. The computer-implemented method further includes encoding the predetermined type of video frame using the set maximum QP value.