18503360. EFFICIENT AFFINE MERGE MOTION VECTOR DERIVATION simplified abstract (BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD.)

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EFFICIENT AFFINE MERGE MOTION VECTOR DERIVATION

Organization Name

BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD.

Inventor(s)

Kai Zhang of San Diego CA (US)

Li Zhang of San Diego CA (US)

Hongbin Liu of Beijing (CN)

Yue Wang of Beijing (CN)

EFFICIENT AFFINE MERGE MOTION VECTOR DERIVATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18503360 titled 'EFFICIENT AFFINE MERGE MOTION VECTOR DERIVATION

Simplified Explanation

The abstract describes a video processing method for efficient affine merge motion vector derivation. The method involves partitioning a current video block into sub-blocks, deriving motion vectors for each sub-block according to a position rule, and processing a bitstream representation of the video block using these motion vectors.

  • Partitioning of current video block into sub-blocks
  • Deriving motion vectors for each sub-block based on a position rule
  • Processing bitstream representation of video block using motion vectors for sub-blocks

Potential Applications

This technology can be applied in video compression algorithms, video editing software, and video streaming services.

Problems Solved

This technology solves the problem of efficiently deriving motion vectors for video processing, which can improve video quality and reduce file sizes.

Benefits

The benefits of this technology include improved video compression efficiency, enhanced video quality, and reduced bandwidth requirements for video streaming.

Potential Commercial Applications

Potential commercial applications of this technology include video encoding software, video streaming platforms, and video surveillance systems.

Possible Prior Art

One possible prior art in this field is the use of block-based motion estimation techniques in video compression algorithms.

Unanswered Questions

How does this method compare to existing motion vector derivation techniques in terms of efficiency and accuracy?

The article does not provide a direct comparison with existing techniques, so it is unclear how this method performs in relation to others.

Are there any limitations or constraints in the implementation of this method in real-world video processing systems?

The article does not address any potential limitations or constraints that may arise when implementing this method in practical video processing applications.


Original Abstract Submitted

A video processing method for efficient affine merge motion vector derivation is disclosed. In one aspect, a video processing method is provided to include partitioning a current video block into sub-blocks; deriving, for each sub-block, a motion vector, where the motion vector for each sub-block is associated with a position for that sub-block according to a position rule; and processing a bitstream representation of the current video block using motion vectors for the sub-blocks.