Video Stream Control System for Adaptive Content Filtering
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Solution Overview
Problem
Conventional video stream control systems distort content to filter objectionable material, affecting user experience and mood, without considering user conditions or preferences.
Innovation Solution
A video stream control system that analyzes content to identify potentially detrimental sections, delivers notifications, and modifies the stream based on user data and preferences, selecting a delivery method to minimize risk, such as skipping or altering content, using a cognitive system with a processor and memory to execute instructions for analyzing, notifying, and selecting the type of delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If content is distorted to filter objectionable material, then user safety is improved, but user experience and content integrity deteriorate
Solution Approach 1:
The system extracts and removes only the harmful sections of video content (e.g., violent or inappropriate scenes) while preserving the rest of the content intact. This is achieved through automated content analysis that identifies problematic segments and selectively filters them, rather than distorting the entire video stream.
Solution Approach 2:
The system performs preliminary analysis of video content before delivery to identify potentially harmful sections in advance. Notifications are provided to users before these sections occur, allowing users to prepare or skip them, thus preventing adverse reactions without distorting the content that is actually delivered.
2Object-affected harmful factors
If content is distorted to filter objectionable material, then inappropriate content exposure is reduced, but user mood and enjoyment deteriorate
Solution Approach 1:
The system introduces an intermediary notification mechanism that communicates upcoming inappropriate content to users without distorting the content itself. This mediator layer allows users to make informed decisions about whether to continue watching, maintaining their control and enjoyment while still protecting them from unwanted content exposure.
Solution Approach 2:
Users are notified in advance of inappropriate content sections before they occur during playback. This preliminary warning allows users to adjust their viewing experience according to their preferences, whether by skipping the section, preparing mentally, or adjusting settings, thereby maintaining enjoyment while avoiding unwanted content.
3Object-affected harmful factors
If conventional filtering methods are used, then offensive content is blocked, but the system does not consider user conditions or preferences
Solution Approach 1:
The filtering system transitions from a static, one-size-fits-all approach to a dynamic system that adapts to individual user conditions and preferences. User profiles store specific preferences and biometric data that allow the system to customize content delivery in real-time, making the filtering adaptable rather than rigid.
Solution Approach 2:
The system incorporates biometric feedback (such as heart rate monitoring) and user preference data to continuously adjust content delivery. When biometric indicators suggest a user is experiencing adverse reactions, the system responds by modifying content delivery or providing notifications, creating a closed-loop feedback system that adapts to user needs.
Data Source
AI summary
A video stream control method, system, and a computer program product include analyzing a video stream to identify a section of the video stream where a condition will occur, delivering a notification that the condition will occur in the section of the video stream and modifying the video stream before the section of the video stream is played, and selecting a type of delivery of the section of the video stream based on a set of rules factoring the condition and user data at a time of the notification.