Image Analysis System for Person Attribute Metatag Generation
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Solution Overview
Problem
Current digital image and video analysis technologies fail to effectively qualify the content of images and videos by assigning descriptive metadata that reflects viewer reactions and emotional or social states, limiting the exploitation of image and video content value.
Innovation Solution
A computer-based image analysis system and method that identifies attributes of individuals in images by detecting and categorizing features, generating metatags associated with these attributes, and using them for consumer profiling and targeted advertising.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If computer-based image analysis is performed to identify features and generate metatags, then the descriptive quality and utility of image metadata is improved, but the system complexity and processing requirements increase
Solution Approach 1:
The image analysis system is divided into distinct functional modules: feature detection module that identifies visual elements, feature classification module that categorizes detected features, and metatag generation module that creates descriptive metadata. This segmentation allows each module to specialize in specific tasks, improving overall metadata quality while managing system complexity through modular architecture.
Solution Approach 2:
The system introduces an intermediary processing layer between raw image data and final metadata output. This intermediary layer includes feature extraction algorithms and classification mechanisms that transform visual information into structured metatags, thereby enhancing information retention while abstracting the complexity from the final metadata interface.
2Productivity
If detailed feature identification and metatag generation are performed on all images, then the value and exploitability of image content is improved, but the processing time and computational resources increase
Solution Approach 1:
The system applies partial action by performing comprehensive feature identification and metatag generation only on images that meet specific criteria or are selected for enhanced processing. Not all images undergo the full analysis pipeline, which reduces overall processing time while maintaining high content exploitation value for prioritized images.
Solution Approach 2:
The system performs preliminary analysis steps such as basic feature detection and classification before generating complete metatags. This staged approach allows for quick initial processing and filtering, with more detailed analysis applied only when necessary, thereby reducing average processing time while preserving the ability to generate comprehensive metadata when needed.
Data Source
AI summary
There is described a system and a method for generating a metatag indicative of an attribute of a person represented in an image, the method comprising: performing a computer-based analysis of the image; identifying a feature related to the attribute of the person in the image using results from the computer-based analysis; generating the metatag based on the identified feature; and associating the metatag to the image, the metatag being thereby related to the attribute of the person.