Google llc (20240202232). Methods and Systems for Processing Imagery simplified abstract
Contents
Methods and Systems for Processing Imagery
Organization Name
Inventor(s)
David Karam of Los Gatos CA (US)
Ariel Gilder of Fair Lawn NJ (US)
Yuzo Watanabe of Seattle WA (US)
Eric Penner of Redmond WA (US)
Farooq Ahmad of Shoreline WA (US)
Hartwig Adam of Marina del Rey CA (US)
Methods and Systems for Processing Imagery - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240202232 titled 'Methods and Systems for Processing Imagery
The present disclosure involves processing imagery using machine learning models. Data describing imagery with multiple frames is received, and scores are determined for each frame based on the ML models and the data. These scores indicate the suitability of the frame for various uses.
- Machine learning models are used to process imagery with multiple frames.
- Scores are calculated for each frame based on the ML models and data describing the imagery.
- The scores indicate the suitability of each frame for different uses.
- This technology aims to enhance the analysis and utilization of imagery data.
- The innovation enables efficient and effective processing of complex imagery datasets.
Potential Applications: - Image recognition and classification - Video analysis and editing - Autonomous driving systems - Medical imaging diagnostics - Surveillance and security systems
Problems Solved: - Enhances the accuracy and efficiency of image analysis - Streamlines the processing of large and diverse imagery datasets - Facilitates the integration of machine learning in visual data applications
Benefits: - Improved decision-making based on analyzed imagery - Enhanced automation and efficiency in image processing tasks - Increased accuracy and reliability in image classification and recognition
Commercial Applications: Title: Advanced Image Processing Technology for Various Industries This technology can be utilized in industries such as healthcare, automotive, security, and entertainment for image analysis, classification, and recognition tasks. It can improve operational efficiency, enhance security measures, and enable innovative applications in various sectors.
Questions about Image Processing Technology: 1. How does this technology improve the accuracy of image analysis? 2. What are the potential challenges in implementing machine learning models for processing imagery?
Original Abstract Submitted
the present disclosure is directed to processing imagery using one or more machine learning (ml) models. in particular, data describing imagery comprising a plurality of different and distinct frames can be received; and based at least in part on one or more ml models and the data describing the imagery, and for each frame of the plurality of different and distinct frames, one or more scores can be determined for the frame. each score of the score(s) can indicate a determined measure of suitability of the frame with respect to one or more of various different and distinct uses for which the ml model(s) are configured to determine suitability of imagery.
