Nvidia corporation (20240357175). EFFICIENT SUB-PIXEL MOTION VECTOR SEARCH FOR HIGH-PERFORMANCE VIDEO ENCODING simplified abstract
Contents
EFFICIENT SUB-PIXEL MOTION VECTOR SEARCH FOR HIGH-PERFORMANCE VIDEO ENCODING
Organization Name
Inventor(s)
EFFICIENT SUB-PIXEL MOTION VECTOR SEARCH FOR HIGH-PERFORMANCE VIDEO ENCODING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240357175 titled 'EFFICIENT SUB-PIXEL MOTION VECTOR SEARCH FOR HIGH-PERFORMANCE VIDEO ENCODING
Simplified Explanation: The patent application describes a system for efficient real-time codec encoding of video files. It involves generating motion vectors of different resolutions, calculating costs using cost functions, selecting subsets of motion vectors, and generating combined motion vectors to predict pixels in an image frame.
- Obtaining motion vectors of different resolutions
- Calculating costs using cost functions of varying sizes
- Selecting subsets of motion vectors
- Generating combined motion vectors
- Predicting pixels in an image frame based on selected motion vectors
Key Features and Innovation:
- Efficient real-time codec encoding of video files
- Generation of motion vectors of different resolutions
- Calculation of costs using cost functions
- Selection of subsets of motion vectors
- Generation of combined motion vectors for pixel prediction
Potential Applications:
- Video compression and streaming technologies
- Real-time video processing applications
- Multimedia content creation tools
Problems Solved:
- Improving efficiency in codec encoding
- Enhancing video compression techniques
- Optimizing motion vector selection for pixel prediction
Benefits:
- Faster real-time video encoding
- Higher quality video compression
- Improved accuracy in pixel prediction
Commercial Applications: Potential commercial applications include:
- Video streaming services
- Video editing software
- Security surveillance systems
Prior Art: Readers can explore prior art related to video codec encoding, motion vector generation, and pixel prediction techniques in the field of multimedia technology.
Frequently Updated Research: Stay updated on the latest advancements in video codec encoding, motion vector optimization, and real-time video processing technologies.
Questions about Video Codec Encoding: 1. How does the system optimize motion vector selection for efficient pixel prediction? 2. What are the potential implications of this technology on video streaming services?
Original Abstract Submitted
disclosed are systems and techniques for efficient real-time codec encoding of video files. in one embodiment, the techniques include obtaining a first plurality of motion vectors of a first resolution, generating a second plurality of motion vectors of a second resolution, and calculating a first cost of the motion vector using a first cost function of a first size. the techniques include selecting a subset of motion vectors of the second plurality of motion vectors, calculating a second cost using a second cost function of a second size, and generating a plurality of combined motion vectors based on the subset of motion vectors. the techniques include calculating a third cost using the second cost function of the second size, selecting a final motion vector, and generating, based on the selected final motion vector, a block of predicted pixels that approximates a block of source pixels of an image frame.
