Snap inc. (20240273136). SYSTEMS AND METHODS FOR MOBILE IMAGE SEARCH simplified abstract
Contents
SYSTEMS AND METHODS FOR MOBILE IMAGE SEARCH
Organization Name
Inventor(s)
Jonathan Brody of Marina Del Rey CA (US)
SYSTEMS AND METHODS FOR MOBILE IMAGE SEARCH - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240273136 titled 'SYSTEMS AND METHODS FOR MOBILE IMAGE SEARCH
Simplified Explanation: The patent application describes systems, methods, and devices for local image tagging and processing in resource-constrained environments like mobile devices. It involves determining whether to store images as ephemeral or non-ephemeral content based on their characteristics, and performing storage operations accordingly.
Key Features and Innovation:
- Determining whether to store images as ephemeral or non-ephemeral content based on their characteristics.
- Storing images in non-ephemeral camera roll storage or ephemeral local application storage.
- Performing additional storage operations like encryption or backup copying based on content analysis.
- Indexing, sorting, and searching images based on image tagging operations.
Potential Applications: This technology can be used in mobile devices, cameras, and other devices with limited storage capacity to efficiently manage image content based on its characteristics.
Problems Solved: This technology addresses the challenge of managing image content in resource-constrained environments by intelligently determining storage options based on image characteristics.
Benefits:
- Efficient storage management for images in resource-constrained environments.
- Enhanced organization and search capabilities for image content.
- Improved user experience with optimized storage operations.
Commercial Applications: Potential commercial applications include mobile device software development, camera technology enhancements, and image processing software for various industries.
Prior Art: There may be prior art related to image processing and storage technologies in resource-constrained environments that could provide insights into similar solutions.
Frequently Updated Research: Research on image processing algorithms, storage optimization techniques, and mobile device software development may be relevant to this technology.
Questions about Image Tagging and Processing: 1. How does this technology improve storage efficiency for image content on mobile devices? 2. What are the key factors considered when determining whether to store images as ephemeral or non-ephemeral content?
Original Abstract Submitted
systems, methods, devices, media, and computer-readable instructions are described for local image tagging and processing in a resource-constrained environment such as a mobile device. in some embodiments, characteristics associated with images are used to determine whether to store content (e.g., images and video clips) as ephemeral content or non-ephemeral content. based on the determination, the image is stored in a non-ephemeral camera roll storage of the mobile device, or an ephemeral local application storage. additional storage operations such as encryption or backup copying may additionally be determined and performed based on the analysis of the content. in some embodiments, such images may be indexed, sorted, and searched based on the image tagging operations used to characterize the content.
