Automated Content Modification via Pre-Segmented Neural Networks
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Solution Overview
Problem
Existing techniques for modifying digital content to align with user preferences are cumbersome, laborious, and costly, as they require global modifications and do not account for individual consumer preferences or changes between content consumption instances, making them impractical in a culturally sensitive and inclusive society.
Innovation Solution
An automated system utilizing machine learning models and consumer devices to perform user-initiated content modification, allowing for real-time adjustments to audio-video content by removing or replacing undesirable elements based on user requests, with the ability to produce alternate content on-the-fly using trained neural networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If global modifications are made to content to align with user preferences, then content desirability is improved, but the complexity and cost of searching, removing, and replacing content increases
Solution Approach 1:
The system pre-processes source content by identifying and marking segments containing images, sounds, and language elements before content delivery. This preliminary segmentation allows rapid modification at playback without requiring complex real-time searching and processing of entire content files.
Solution Approach 2:
Content is divided into discrete segments with associated metadata identifying specific images, sounds, and language elements. This segmentation enables selective modification of individual elements without affecting the entire content file, reducing the complexity of content personalization.
2Reliability
If existing content is searched and modified to remove or replace undesirable elements, then content quality is improved, but the time and resources required for modification increase
Solution Approach 1:
Content is pre-analyzed and segmented into modifiable elements with metadata tags during the content creation or distribution phase. This allows the playback device to quickly retrieve and replace specific elements without performing time-consuming searches during content consumption.
Solution Approach 2:
The system creates and stores copies of content elements in alternative formats or with alternative content already prepared. When modification is needed, pre-prepared alternative segments are quickly substituted into the content stream without requiring complex real-time processing.
3Adaptability or versatility
If content is modified to account for individual consumer preferences, then user satisfaction is improved, but the complexity of tracking and implementing individual preferences increases
Solution Approach 1:
The system applies different modification rules and alternative content to different segments of content based on individual user preferences. Each user receives customized content segments tailored to their specific preferences while maintaining the overall content structure, avoiding the need to manage complex global preferences.
4Adaptability or versatility
If source content files are frequently updated to reflect changing cultural sensitivities, then content relevance is improved, but the cost and effort of redistribution increase
Solution Approach 1:
Content is segmented into independent modifiable elements with metadata identifying specific images, sounds, and language. When cultural sensitivities change, only the relevant segments need to be updated and redistributed, rather than entire content files, significantly improving redistribution efficiency.
Solution Approach 2:
The system updates and redistributes only the specific content segments that require modification based on changing cultural sensitivities, rather than performing full content file updates. This partial action approach reduces the cost and effort of content redistribution while maintaining content relevance.
Data Source
AI summary
A system for performing user-initiated content modification includes a computing platform having processing hardware and a system memory storing a software code. The processing hardware is configured to execute the software code to receive a request to perform a modification to content, determine, in response to the request, whether the modification is permissible or impermissible, and when the modification is determined to be impermissible, deny the request. When the modification is determined to be permissible, the processing hardware is configured to further execute the software code to obtain the content, obtain or produce alternate content for use in modifying the content per the request, and perform the modification to the content, using the alternate content, to provide modified content.