18471131. REGRESSION-BASED DECODER SIDE AFFINE MOTION DERIVATION FOR VIDEO CODING simplified abstract (QUALCOMM Incorporated)

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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 18471131 titled 'REGRESSION-BASED DECODER SIDE AFFINE MOTION DERIVATION FOR VIDEO CODING

Simplified Explanation

The abstract describes a patent application for a video coding technology that involves partitioning coding blocks 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.

  • Video coder partitions coding block into subblocks
  • Initial motion vectors generated for subblocks
  • Motion vectors refined using decoder side motion vector refinement
  • Affine motion model derived through linear regression
  • Block coded using derived affine motion model

Potential Applications

This technology could be applied in video compression algorithms, video streaming services, video editing software, and virtual reality systems.

Problems Solved

- Improved video compression efficiency - Enhanced video quality through accurate motion estimation

Benefits

- Reduced bandwidth requirements for video transmission - Higher quality video playback - More efficient video editing processes

Potential Commercial Applications

Optimizing video streaming services for better user experience

Possible Prior Art

One possible prior art could be the use of block-based motion estimation techniques in video coding algorithms.

Unanswered Questions

How does this technology compare to existing motion estimation methods in terms of computational complexity?

Answer: The article does not provide a direct comparison with existing methods in terms of computational complexity. Further research or experimentation would be needed to determine the computational efficiency of this technology compared to others.

What impact could this technology have on real-time video processing applications?

Answer: The article does not discuss the potential impact of this technology on real-time video processing applications. Future studies could explore the implications of implementing this technology in real-time systems.


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.