Image Based Target Analysis Using Relationship Constraints
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Solution Overview
Problem
Existing search tools fail to identify images related to a target, such as a person, without relying on metadata that includes the searched keywords, limiting their ability to find relevant images based on input images.
Innovation Solution
An image-based target analysis apparatus and method that uses an input image and associated metadata to perform a search, determining relationships such as kinship, membership, or locale, to identify further images and generate results without relying on keyword metadata, employing modules for image analysis and database searches to find additional information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search tools rely on metadata containing searched keywords to identify images, then search accuracy is improved, but the ability to find relevant images without keyword metadata deteriorates
Solution Approach 1:
The patent introduces an intermediary image analysis system that acts as a mediator between the search query and the image database. Instead of directly matching keywords to metadata, the system analyzes image content visually and generates descriptive metadata automatically, enabling searches to bridge the gap between user queries and image content without relying on pre-existing keyword metadata
Solution Approach 2:
The patent transforms the search parameter from relying on pre-existing keyword metadata to using automatically generated metadata derived from image content analysis. By changing the parameter source from static metadata to dynamic content-based generation, the system maintains search accuracy while gaining the ability to search images that lack traditional keyword metadata
2Ease of operation
If search tools use only keyword metadata for image identification, then search process simplicity is improved, but search capability expansion deteriorates
Solution Approach 1:
The patent implements a self-service mechanism where the image analysis system automatically generates its own metadata from image content without requiring manual tagging or external keyword input. This self-generated metadata enables expanded search capabilities while maintaining operational simplicity, as users continue to input natural language queries without needing to understand or provide technical metadata
Solution Approach 2:
The patent performs preliminary image analysis and metadata generation before the search process begins. By pre-processing images to extract content-based metadata, the system prepares the data structure needed for expanded search capabilities while keeping the actual user search process simple and intuitive
Data Source
AI summary
In some examples, image based target analysis may include performing a search to identify an image, and determining whether a target is present in the image, and image metadata. Image based target analysis may further include performing, in response to a determination that the target is present in the image, based on a relationship of the target to an entity, and the image metadata, a further search to identify another image, and generating, based on the image and/or the other image, a result indicative of further information on the target.


