Google llc (20240223796). LOCAL GLOBAL PREDICTION MODES WITH PROJECTED MOTION FIELDS simplified abstract
LOCAL GLOBAL PREDICTION MODES WITH PROJECTED MOTION FIELDS
Organization Name
Inventor(s)
Debargha Mukherjee of Cupertino CA (US)
Mohammed Golam Sarwer of San Jose CA (US)
Rachel Barker of Cambridge (GB)
Jianle Chen of San Diego CA (US)
LOCAL GLOBAL PREDICTION MODES WITH PROJECTED MOTION FIELDS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240223796 titled 'LOCAL GLOBAL PREDICTION MODES WITH PROJECTED MOTION FIELDS
Abstract: The patent application involves coding using local global prediction modes with projected motion fields, which includes identifying a current frame, identifying a current reference frame, obtaining a projected motion field for the current frame, using motion data from the current reference frame, identifying a current superblock from the current frame, obtaining reference warp motion parameters for the current superblock by fitting the projected motion field to a warp motion model, and using the reference warp motion parameters to code respective blocks from the superblock.
Key Features and Innovation:
- Coding method using local global prediction modes with projected motion fields.
- Utilizes projected motion fields and warp motion models for efficient coding.
- Enhances coding efficiency by fitting motion data to reference warp motion parameters.
Potential Applications:
- Video compression technologies.
- Image processing applications.
- Multimedia streaming services.
Problems Solved:
- Improves coding efficiency in video compression.
- Enhances image quality in multimedia applications.
- Optimizes data transmission in streaming services.
Benefits:
- Higher compression rates.
- Improved image quality.
- Reduced bandwidth usage in streaming.
Commercial Applications: Title: Enhanced Video Compression Technology for Multimedia Streaming Services Description: This technology can be used in video streaming platforms to improve compression rates and enhance image quality, leading to a better user experience and cost-effective data transmission.
Prior Art: Researchers can explore existing patents related to video compression, motion estimation, and image processing techniques to understand the background of this technology.
Frequently Updated Research: Researchers in the field of video coding and multimedia technologies are continuously working on improving compression algorithms and enhancing image quality through advanced motion estimation techniques.
Questions about Video Compression Technology: 1. How does this coding method improve compression rates compared to traditional techniques? 2. What are the potential challenges in implementing this technology in real-time video streaming applications?
1. A relevant generic question not answered by the article, with a detailed answer: How does the use of projected motion fields contribute to the efficiency of the coding process? Projected motion fields help in predicting the motion of video frames, allowing for better compression and quality preservation in the coding process.
2. Another relevant generic question, with a detailed answer: What are the advantages of using warp motion models in coding superblocks? Warp motion models provide a flexible way to adjust motion parameters for different blocks, leading to more accurate motion estimation and improved coding efficiency.
Original Abstract Submitted
coding using local global prediction modes with projected motion fields includes identifying a current frame, identifying a current reference frame, obtaining a projected motion field, for the current frame, using motion data from the current reference frame, identifying a current superblock from the current frame, obtaining reference warp motion parameters for the current superblock by fitting the projected motion field to a warp motion model, and using the reference warp motion parameters to code respective blocks from the superblock.
