Demographic Content Distribution Analysis in Multimedia Documents
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Solution Overview
Problem
Creating multimedia documents that ensure a fair and representative distribution of images across different demographic groups is challenging, as existing methods lack the ability to ensure specific demographic groups are not overly or inadequately represented, leading to overwhelming efforts for creators to achieve fairness and member enjoyment.
Innovation Solution
A method that receives demographic criteria to form groups, retrieves demographic information and interests, analyzes the data to generate a statistical distribution of content, and determines if the current content distribution meets the desired distribution, providing indications for adjustments to ensure fair representation in multimedia documents like yearbooks, slideshows, or websites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual selection of images is performed to ensure demographic representation, then fairness and member enjoyment are improved, but time consumption and effort increase significantly
Solution Approach 1:
The system automatically analyzes the photo collection and generates demographic distribution reports without requiring manual intervention. The processor autonomously identifies faces, determines demographic characteristics, calculates current distribution, and compares it against desired distribution targets, enabling the system to self-regulate content balance.
Solution Approach 2:
The patent replaces the mechanical manual process of selecting and reviewing images with an automated computational system. The processor uses facial recognition technology and demographic analysis algorithms to substitute human effort in assessing and balancing demographic representation across the photo collection.
2Measurement precision
If comprehensive demographic analysis is performed on all images, then distribution accuracy is improved, but processing complexity and computational resources increase
Solution Approach 1:
The system segments the photo collection into demographic groups based on identified characteristics such as age, gender, and other demographic factors. This segmentation allows for precise measurement of representation within each group while managing computational complexity through organized categorization and modular processing of image subsets.
3Manufacturing precision
If facial detection and demographic analysis are implemented, then content distribution control is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary facial detection and demographic characteristic identification on all images in the collection before the final distribution analysis. This preliminary processing organizes demographic data in advance, enabling faster comparison against desired distribution targets and reducing computational load during the actual distribution assessment phase.
Data Source
AI summary
A method, system and computer program product for ensuring a desired distribution of images in a multimedia document among different demographic groups. Demographic criteria (e.g., age) is received to form demographic groups of members of an organization. Demographic information along with interests of the members are retrieved. Such member data is analyzed within the constraints of the demographic criteria to generate a statistical distribution of members of the organization that forms an initially desired distribution of content of the multimedia document among the demographic groups of the organization. An indication is then provided to the user regarding whether the current distribution of the content of the multimedia document among the demographic groups of the organization satisfies or does not satisfy the desired distribution of content among the demographic groups. In this manner, the user can ensure a desired distribution of content in the multimedia document among different demographic groups.