Google llc (20240314345). REFERENCE MOTION VECTOR CANDIDATE BANK simplified abstract
Contents
REFERENCE MOTION VECTOR CANDIDATE BANK
Organization Name
Inventor(s)
Debargha Mukherjee of Cupertino CA (US)
REFERENCE MOTION VECTOR CANDIDATE BANK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240314345 titled 'REFERENCE MOTION VECTOR CANDIDATE BANK
The abstract describes a method for inter-prediction in video coding, involving the use of motion vectors and reference frame types to efficiently code blocks of frames.
- Coding a first block of a current frame using a first motion vector (mv) and a reference frame type.
- Storing the first mv and reference frame type in at least one mv buffer.
- Identifying mv candidates for coding a current block based on the reference frame type.
- Adding the first mv as an mv candidate if it is not included in the candidates and the cardinality is below a maximum limit.
- Selecting one of the mv candidates for coding the current block.
Potential Applications: - Video compression technologies - Video streaming services - Video surveillance systems
Problems Solved: - Efficient coding of video frames - Reduction of data size for transmission - Improved video quality
Benefits: - Enhanced video compression - Reduced bandwidth requirements - Better video streaming experience
Commercial Applications: Title: "Enhanced Video Compression Technology for Streaming Services" This technology can be utilized in various commercial applications such as online video platforms, video conferencing services, and security camera systems. It can improve video quality, reduce bandwidth costs, and enhance the overall user experience.
Questions about the technology: 1. How does this method improve video compression efficiency? - This method optimizes the selection of motion vectors for coding video frames, leading to better compression ratios and reduced data size. 2. What impact does this technology have on video streaming services? - This technology can significantly improve the quality of video streaming services by reducing bandwidth requirements and enhancing the overall viewing experience.
Original Abstract Submitted
a method for inter-prediction includes coding a first block of a current frame using a first motion vector (mv) and a reference frame type; storing, in at least one mv buffer, the first mv and the reference frame type; identifying mv candidates for coding a current block using the reference frame type; responsive to a determination that a cardinality of the mv candidates is less than a maximum number of mv candidates identifying the first motion vector in the at least one mv buffer, and responsive to a determination that the first mv is not included in the mv candidates, adding the first mv as an mv candidate; and selecting one of the mv candidates for coding the current block.
