18368897. METHOD, SYSTEM AND APPARATUS FOR IMAGE ORIENTATION CORRECTION simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
METHOD, SYSTEM AND APPARATUS FOR IMAGE ORIENTATION CORRECTION
Organization Name
Inventor(s)
Albert Saa-garriga of Staines (GB)
Tommaso Maestri of Staines (JP)
Konstantinos Peppas of Staines (JP)
METHOD, SYSTEM AND APPARATUS FOR IMAGE ORIENTATION CORRECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18368897 titled 'METHOD, SYSTEM AND APPARATUS FOR IMAGE ORIENTATION CORRECTION
Simplified Explanation
The present techniques described in the patent application are related to methods, systems, and apparatuses for correcting or adjusting tilted images. Specifically, the application focuses on a computer-implemented method for generating a training dataset using federated learning to train a machine learning model for image orientation correction. The method allows for the generation of a diverse training dataset while maintaining user data privacy, where diversity refers to the range of image tilt angles represented in the dataset. The application also provides methods for training the machine learning model using the generated training dataset.
- The patent application describes a method for generating a training dataset for image orientation correction using federated learning.
- The method ensures user data privacy while creating a diverse training dataset with a wide range of image tilt angles.
- The application also includes methods for training a machine learning model using the generated training dataset.
Potential applications of this technology:
- Image editing software: The technology can be applied to image editing software to automatically correct the orientation of tilted images.
- Document scanning applications: The technology can be used in document scanning applications to automatically adjust the orientation of scanned documents.
- Augmented reality applications: The technology can be utilized in augmented reality applications to ensure that virtual objects align correctly with the real-world environment.
Problems solved by this technology:
- Manual image orientation correction: The technology eliminates the need for manual adjustment of tilted images, saving time and effort.
- Inconsistent image orientations: The technology addresses the problem of inconsistent image orientations in datasets, ensuring more accurate analysis and processing.
Benefits of this technology:
- Improved efficiency: The technology automates the image orientation correction process, improving the efficiency of image editing and document scanning workflows.
- Enhanced accuracy: By training the machine learning model with a diverse dataset, the technology can achieve higher accuracy in image orientation correction.
- Privacy preservation: The federated learning approach used in generating the training dataset ensures user data privacy, making it a secure solution for image orientation correction.
Original Abstract Submitted
Broadly speaking, the present techniques generally relates to methods, systems and apparatuses for performing image orientation correction, i.e. correcting or adjusting images that are tilted. In particular, the present application relates to a computer-implemented method for generating a training dataset for training a machine learning, ML, model using federated learning to perform image orientation correction, and methods for training the ML model using the generated training dataset. Advantageously, the method to generate a training dataset enables a diverse training dataset to be generated while maintaining user data privacy, where the diversity refers to the range of image tilt angles represented by the dataset. The present application also provides methods for training the ML model using the generated training dataset.
