20240080462.Systems and Methods for Low-Resolution Motion Estimation Searches simplified abstract (apple inc.)
Contents
- 1 Systems and Methods for Low-Resolution Motion Estimation Searches
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Systems and Methods for Low-Resolution Motion Estimation Searches - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
Systems and Methods for Low-Resolution Motion Estimation Searches
Organization Name
Inventor(s)
Jae Young Park of Los Gatos CA (US)
Athanasios Leontaris of Cupertino CA (US)
Systems and Methods for Low-Resolution Motion Estimation Searches - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240080462 titled 'Systems and Methods for Low-Resolution Motion Estimation Searches
Simplified Explanation
The patent application describes a video encoding system that includes a low resolution pipeline for generating downscaled luma and chroma blocks, as well as motion estimation searches to determine motion vector candidates. The system also includes a main encoding pipeline for determining encoding parameters based on the motion vector candidates.
- Low resolution pipeline:
- Generates downscaled luma and chroma blocks - Performs motion estimation searches - Determines motion vector candidates
- Main encoding pipeline:
- Determines encoding parameters based on motion vector candidates
Potential Applications
This technology could be used in video encoding systems for various applications such as video streaming, video conferencing, and video surveillance.
Problems Solved
This technology helps improve video encoding efficiency by generating downscaled blocks and determining motion vector candidates, leading to better compression and quality in encoded videos.
Benefits
The benefits of this technology include improved video encoding efficiency, better compression rates, and higher quality video output.
Potential Commercial Applications
This technology could be applied in commercial video encoding software, hardware, and services for industries such as broadcasting, entertainment, and telecommunications.
Possible Prior Art
One possible prior art for this technology could be existing video encoding systems that use motion estimation and downscaled blocks for improving encoding efficiency.
Unanswered Questions
How does this technology compare to existing video encoding systems in terms of compression efficiency and video quality?
This article does not provide a direct comparison between this technology and existing video encoding systems in terms of compression efficiency and video quality.
What are the potential limitations or challenges in implementing this technology in real-world video encoding systems?
This article does not address the potential limitations or challenges in implementing this technology in real-world video encoding systems.
Original Abstract Submitted
a video encoding system may include a low resolution pipeline configured to receive source image data corresponding with a luma coding block and a chroma coding block of a coding unit in an image. the low resolution pipeline includes a low resolution motion estimation block configured to generate a downscaled luma block and a downscaled chroma prediction block respectively corresponding to a luma prediction block in the luma coding block and a chroma prediction block in the chroma coding block. the low resolution motion estimation block also performs motion estimation searches based on the luma prediction block and the chroma prediction block to determine downscaled reference samples and motion vector candidates. the video encoding system also includes a main encoding pipeline configured to receive the source image data and to determine encoding parameters to be used to encode coding blocks based on the determined motion vector candidates.
