18251655. Systems, Apparatus, and Methods for Improving Composition of Images simplified abstract (GOOGLE LLC)
Contents
Systems, Apparatus, and Methods for Improving Composition of Images
Organization Name
Inventor(s)
Yu-Chuan Su of Mountain View CA (US)
Raviteja Vemulpalli of Seattle WA (US)
Lior Shapira of Mountain View CA (US)
Colvin Pitts of Mountain View CA (US)
Benjamin Weiss of Carpinteria CA (US)
Andy Rogers of Mountain View CA (US)
Systems, Apparatus, and Methods for Improving Composition of Images - A simplified explanation of the abstract
This abstract first appeared for US patent application 18251655 titled 'Systems, Apparatus, and Methods for Improving Composition of Images
Simplified Explanation
The patent application describes a method for improving the composition of images using machine learning models and user device movement. Here is a simplified explanation of the abstract:
- The method starts by receiving a first preview image of a scene.
- The first preview image is processed using a machine learning model to determine the best direction for the user device to move based on the composition score of the first preview image and the composition scores of other candidate images.
- The user device movement is detected, and a second preview image of the scene is received after the movement.
- The process can be repeated to continuously improve the composition of the images.
Potential applications of this technology:
- Photography: This technology can be used in cameras or smartphones to help users capture better composed photos by providing real-time feedback and suggestions for device movement.
- Videography: It can also be applied to video recording, assisting users in capturing well-composed videos by guiding their device movement.
- Augmented Reality: This technology can enhance the composition of augmented reality experiences by suggesting optimal device positions for capturing virtual objects in real-world scenes.
Problems solved by this technology:
- Composition improvement: The method addresses the challenge of capturing well-composed images by providing guidance on device movement based on composition scores.
- Real-time feedback: Users can receive immediate feedback on the composition of their images, allowing them to make adjustments and capture better shots.
Benefits of this technology:
- Enhanced user experience: Users can capture visually appealing images with improved composition, leading to more satisfying photography or videography experiences.
- Time-saving: The method eliminates the need for manual trial and error in adjusting device positions, saving time and effort for users.
- Learning-based approach: By utilizing machine learning models, the method can continuously improve its composition suggestions based on user feedback and data.
Original Abstract Submitted
Systems, apparatus, and methods are presented for improving the composition of images. One method includes receiving a first preview image of a scene and processing the first preview image using a first machine learning model to determine at least one direction to move a user device based on a composition score of the first preview image and at least one composition score of a plurality of candidate images. The method also includes detecting movement of the user device and receiving a second preview image of the scene after movement of the user device.
