P2P Content Sharing with Custom Filters for Bandwidth Conservation
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Solution Overview
Problem
Current picture and video sharing technologies rely on server interactions, limiting user control over custom preferences and often result in unwanted content being shared, especially when using facial recognition.
Innovation Solution
A peer-to-peer (P2P) content sharing method that allows users to define filters with specific parameters to receive and share content, enabling users to control what pictures or videos are shared based on their preferences, eliminating the need for server mediation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If server-based picture sharing is used, then content sharing functionality is provided, but user control over custom preferences is limited
Solution Approach 1:
The patent extracts the server mediation function from the content sharing system, allowing devices to share content directly peer-to-peer. This removes the intermediate server component while maintaining sharing functionality, thereby improving user control without adding server interaction complexity
Solution Approach 2:
The system enables devices to autonomously perform content sharing operations without requiring server coordination. Each device independently manages its own content sharing preferences and directly communicates with peer devices, eliminating dependency on external server infrastructure
2Productivity
If facial recognition-based sharing is used, then automatic content tagging is achieved, but unwanted content sharing increases
Solution Approach 1:
The patent applies preliminary action by establishing content sharing filters and user preferences before actual content sharing occurs. The system pre-configures criteria for what content should be shared, tagged, or blocked, allowing automatic filtering to prevent unwanted content from being shared in the first place
Solution Approach 2:
The system implements feedback mechanisms where users can review and adjust content sharing decisions based on automatic facial recognition results. The feedback loop allows users to refine their preferences and filter settings based on actual sharing outcomes, improving the accuracy of automatic tagging over time
3Loss of energy
If peer-to-peer sharing is implemented, then wireless network bandwidth is conserved, but user control mechanisms must be enhanced
Solution Approach 1:
The patent segments the user control mechanism into modular filter components that can be independently configured and applied. This segmentation allows users to create specific filtering rules for different content types, devices, or contexts, providing enhanced control without overwhelming complexity
Data Source
AI summary
The disclosure is directed to content sharing. An aspect defines a filter having at least one parameter for receiving content and detects a content device. The content device is a peer device with sharable content. The aspect further queries the content device for desired content from the sharable content and receives the desired content from the content device. The desired content matches the at least one parameter.


