Google llc (20240195985). VIDEO INTER/INTRA COMPRESSION USING MIXTURE OF EXPERTS simplified abstract
Contents
VIDEO INTER/INTRA COMPRESSION USING MIXTURE OF EXPERTS
Organization Name
Inventor(s)
David Charles Minnen of Mountain View CA (US)
Sung Jin Hwang of Mountain View CA (US)
Elliott Michael Karpilovsky of Santa Clara CA (US)
Debargha Mukherjee of Cupertino CA (US)
VIDEO INTER/INTRA COMPRESSION USING MIXTURE OF EXPERTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240195985 titled 'VIDEO INTER/INTRA COMPRESSION USING MIXTURE OF EXPERTS
Simplified Explanation: The patent application describes methods, systems, and apparatus for compressing and decompressing video data using a combination of machine learning models. It involves processing video frames in sequential sets and making predictions for blocks within each frame based on borders from prior frames.
- Ensemble of machine learning models used for compression and decompression of video data
- Sequential processing of video frames in sets
- Predictions made for blocks within frames based on borders from prior frames
Key Features and Innovation:
- Utilization of machine learning models for video data compression and decompression
- Sequential processing of video frames for efficient prediction of blocks
- Incorporation of borders from prior frames to enhance prediction accuracy
Potential Applications: This technology can be applied in various fields such as video streaming, surveillance systems, video editing software, and virtual reality applications.
Problems Solved:
- Improved video compression and decompression efficiency
- Enhanced prediction accuracy for video data processing
- Reduction of data storage and bandwidth requirements for video transmission
Benefits:
- Higher compression ratios for video data
- Faster processing speeds for video editing and streaming
- Enhanced visual quality of compressed video content
Commercial Applications: The technology can be utilized in video streaming services, security camera systems, video editing software, and virtual reality platforms to improve data compression and processing efficiency.
Prior Art: Readers can explore prior research on video compression algorithms, machine learning models for video processing, and advancements in video data compression techniques.
Frequently Updated Research: Stay updated on the latest developments in machine learning algorithms for video compression, advancements in video processing technologies, and improvements in video data compression efficiency.
Questions about Video Data Compression using Machine Learning: 1. How does the utilization of machine learning models improve video compression efficiency? 2. What are the potential applications of this technology beyond video streaming and surveillance systems?
Original Abstract Submitted
methods, systems, and apparatus, including computer programs, for compression and decompression of video data using an ensemble of machine learning models. methods can include defining for each frame in a video, a plurality of blocks in the frame. methods can further include processing the frames of video in sequential sets, wherein each sequential set is at least a current frame () of video and a prior frame () of video in the ordered sequence. each respective prediction of a block in the frame of the video includes providing, as input to a prediction model a first and the second border () of a current block () of the current frame, a first and a second border () for a respective current block () of the prior frame and the respective current block () of the prior frame.
