Content Watermarking for Event Metadata Aggregation
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Solution Overview
Problem
There is a lack of efficient means to manage and build a community of interest around shared experiences in social media, particularly at events, where users struggle to see and connect with others' perspectives and content captured during events without extensive searching.
Innovation Solution
A method involving receiving and processing content captured by electronic devices, extracting information, and correlating it with metadata to render services such as aggregating and sharing content, using digital watermarking and fingerprinting to identify and synchronize uploads from multiple users, creating a network service that aggregates and synchronizes uploads for enhanced event experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users share content manually through social networks, then existing friends can see the content, but users cannot efficiently discover or connect with others who have similar interests or are experiencing the same event
Solution Approach 1:
The system automatically analyzes uploaded content and provides feedback by suggesting relevant communities, events, or other users who might be interested in the content. This feedback loop enables users to connect with others without manual searching, resolving the contradiction between versatility and ease of operation.
Solution Approach 2:
The patent introduces an intermediary system that automatically processes uploaded content, extracts metadata, and matches it with relevant communities or events. This intermediary layer eliminates the need for users to manually search or tag content, enabling efficient discovery while maintaining broad connectivity options.
2Productivity
If users manually search for content from others at events, then they can find specific content, but the process is time-consuming and inefficient
Solution Approach 1:
The system performs preliminary action by automatically extracting metadata, analyzing content, and pre-tagging uploaded content before users need to search for it. This preliminary processing enables rapid aggregation and presentation of relevant content, dramatically reducing the time users would otherwise spend manually searching.
Solution Approach 2:
The system performs self-service by automatically organizing, indexing, and presenting content without requiring user intervention for manual search or curation. The system serves itself by maintaining accurate indexes and actively presenting relevant content to users, eliminating time loss associated with manual searching.
3Adaptability or versatility
If the system aggregates and presents content from multiple users, then users gain enhanced perspectives and community connection, but the system complexity increases
Solution Approach 1:
The system segments the complex task of content aggregation by dividing it into separate functional modules: content extraction, metadata generation, indexing, matching, and presentation. Each module handles a specific aspect independently, making the overall complex system manageable while enabling sophisticated community building capabilities.
Solution Approach 2:
The patent implements a universal processing framework that can handle multiple types of content (images, video, audio) and multiple purposes (community connection, event discovery, content aggregation) through a single integrated system. This multi-functionality achieves diverse community building capabilities without proportionally increasing system complexity.
Data Source
AI summary
Content is identified using watermarking and/or other content recognition combined with contextual metadata, which facilitates identification and correlation with other content and metadata when it is posted to a network.


