Content Stream Aggregation via Sensor Metadata Indexing
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Solution Overview
Problem
Users face challenges in discovering and accessing user-generated content, particularly live audio and video streams, due to the vast amount of online content and the need for users to follow multiple individuals or companies on social networks to find specific content, which is time-consuming and burdensome.
Innovation Solution
A platform that aggregates content streams based on sensor data, allowing users to combine multiple streams into events, providing context and relationships between streams, and enabling users to search and connect with content of interest through a navigable user interface, using metadata such as location, time, and orientation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users search for content in a huge amount of user generated content, then users can find content of interest, but it becomes a burdensome and time consuming task
Solution Approach 1:
The system performs preliminary actions by automatically generating metadata (tags, summaries, categories) for user-generated content before users search. This pre-processing organizes content in advance, enabling fast retrieval without requiring users to manually search through vast amounts of unstructured data, thus reducing search time while maintaining discovery accuracy
Solution Approach 2:
The patent introduces metadata as an intermediary layer between raw user-generated content and user search queries. This metadata acts as a mediator that bridges the gap between content and users, enabling efficient filtering and discovery without direct manual searching, thereby reducing time loss while preserving content relevance
2Reliability
If users follow multiple individuals or companies on social network to discover live streams, then users can find specific content, but it requires following many users which is time-consuming
Solution Approach 1:
The system extracts the essential discovery function from the social network following mechanism. Instead of requiring users to follow multiple users, the system extracts content metadata and organizes it independently, allowing users to discover content through structured search and filtering without the complexity of social network relationships
Solution Approach 2:
Metadata serves as an intermediary that replaces the need for social network following. Rather than navigating complex social graphs to find content, users interact with structured metadata (tags, categories, summaries) that directly represent content characteristics, simplifying the discovery process while maintaining accuracy
3Ease of operation
If user generated content is categorized using tags and made available through search interface, then content can be accessed, but searching huge number of content is burdensome
Solution Approach 1:
The system performs preliminary organization by generating comprehensive metadata including tags, summaries, and categorizations before users initiate searches. This advance preparation structures content in multiple dimensions, enabling users to quickly filter and find relevant content without sifting through large numbers of items, thus reducing search duration while maintaining accessibility
Solution Approach 2:
The patent adds multiple dimensional attributes (tags, summaries, categories, metadata fields) to content organization beyond simple tagging. This multi-dimensional structuring allows users to filter and search from multiple angles simultaneously, reducing the number of items that need to be manually examined while preserving ease of access
Data Source
AI summary
Disclosed is a method of aggregating content streams. The method may include receiving, using a communication unit, a plurality of content streams from a plurality of mobile devices. Further, each of the plurality of mobile devices may include at least one recorder configured to generate a content stream. Furthermore, each of the plurality of content streams may be associated with at least one metadata. Additionally, the method may include analyzing, using a processing unit, the at least one metadata. Further, the method may include aggregating, using the processing unit, the plurality of content streams into an aggregated content stream container based on a result of the analyzing.