Qualcomm incorporated (20240129481). REGRESSION-BASED DECODER SIDE AFFINE MOTION DERIVATION FOR VIDEO CODING simplified abstract

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REGRESSION-BASED DECODER SIDE AFFINE MOTION DERIVATION FOR VIDEO CODING

Organization Name

qualcomm incorporated

Inventor(s)

Han Huang of San Diego CA (US)

Vadim Seregin of San Diego CA (US)

Marta Karczewicz of San Diego CA (US)

REGRESSION-BASED DECODER SIDE AFFINE MOTION DERIVATION FOR VIDEO CODING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240129481 titled 'REGRESSION-BASED DECODER SIDE AFFINE MOTION DERIVATION FOR VIDEO CODING

Simplified Explanation

The patent application describes a video coding method that involves partitioning a coding block into subblocks, generating initial motion vectors for the subblocks, refining the motion vectors using decoder side motion vector refinement, deriving an affine motion model through linear regression, and coding the block using the derived model.

  • Partitioning coding block into subblocks
  • Generating initial motion vectors for subblocks
  • Refining motion vectors using decoder side motion vector refinement
  • Deriving an affine motion model through linear regression
  • Coding the block using the derived affine motion model

Potential Applications

This technology can be applied in video coding, video streaming, video conferencing, virtual reality, and augmented reality applications.

Problems Solved

- Improved video compression efficiency - Enhanced video quality - Reduced bandwidth consumption - Better motion estimation and compensation

Benefits

- Higher compression ratios - Smoother video playback - Reduced artifacts in videos - Improved user experience

Potential Commercial Applications

Optimized video streaming services, advanced video coding software, virtual reality platforms, video conferencing solutions.

Possible Prior Art

One possible prior art could be the use of motion estimation and compensation techniques in video coding to improve compression efficiency and video quality.

Unanswered Questions

How does this technology compare to existing video coding methods?

This article does not provide a direct comparison with existing video coding methods. It would be helpful to understand the specific advantages and disadvantages of this technology compared to traditional approaches.

What impact could this technology have on the video streaming industry?

The article does not address the potential impact of this technology on the video streaming industry. It would be interesting to explore how this innovation could disrupt current video streaming practices and technologies.


Original Abstract Submitted

a video coder may be configured to partition a coding block into subblocks, and generate initial subblock motion vectors for a plurality of the subblocks. the video coder may further refine the initial subblock motion vectors for the plurality of the subblocks using decoder side motion vector refinement to produce refined subblock motion vectors for the plurality of the subblocks, and perform a linear regression on the refined subblock motion vectors and coordinates of the plurality of the subblocks to derive an affine motion model. the video coder may then code the coding block using the derived affine motion model.