Image Object Location via Visual Search and Metadata Analysis
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Solution Overview
Problem
Users face limitations in locating and obtaining information about objects stored in the cloud, as they often need to perform multiple text-based searches and navigate through search results without knowing the necessary details, and current methods require separate applications or services for different queries.
Innovation Solution
A system that analyzes and organizes digital content, such as photographs, by recognizing objects, generating metadata and tags, and comparing them across multiple instances to determine common trends, allowing for efficient indexing and search, and providing information about object locations and availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users perform text-based searches to locate objects in the cloud, then they can find information about objects, but they must navigate through multiple search results and perform multiple searches without knowing the necessary details
Solution Approach 1:
The system creates a visual copy of the object from uploaded images and uses this visual representation as the primary search interface. Instead of requiring users to type text queries and navigate through text-based search results, the system copies the object's visual appearance and allows users to search through visual thumbnails, significantly reducing the time and effort needed to locate objects in the cloud storage.
2Adaptability or versatility
If users need to obtain information about objects they don't know the basic information about, then they can still search for objects, but they need to perform multiple searches requiring different applications or services
Solution Approach 1:
The system provides a universal interface that handles multiple object location scenarios through a single application. Users can upload images of objects they don't know much about, and the system automatically generates visual search results, object information, and location data all within one application, eliminating the need to switch between multiple applications or services for different search tasks.
3Measurement precision
If the system analyzes images to identify objects and generate metadata, then it can provide accurate location information, but it requires processing and organizing digital content
Solution Approach 1:
The system performs preliminary image analysis and object identification when users upload images to the cloud storage. By pre-processing the images to extract metadata, identify objects, and generate visual thumbnails at the time of upload, the system prepares the data in advance so that when users need to search, the information is already organized and ready, reducing the processing burden during actual search operations.
Data Source
AI summary
Disclosed herein are systems, methods, and non-transitory computer-readable storage media for identifying objects within images. Analysis are performed, comparing metadata, tags, and similarity of images, to determine trends and similarity. Based on these trends and similarities, metadata and tags are copied and generated, with the associated images then being more closely associated with one another. These images can then be organized in more meaningful and useful formats. The associated objects can also be used to provide a user with information about an object located in an image provided by a user, where the information can include location, pricing, availability, or other such information that can be determined from the metadata, tags, and other information associated with the images.