Media Search System Linking Uncoordinated Media via Metadata
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Solution Overview
Problem
Users face challenges in accessing specific media, such as videos of events, due to the vast amount of publicly available media on social platforms, which are often disorganized and difficult to search through.
Innovation Solution
A media search system that utilizes social media provider APIs, artificial intelligence, and machine learning to search for and link media based on metadata such as location, time, and event name, allowing users to efficiently find and view relevant media.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users search through publicly available media on social media sites, then they can access a wealth of media content, but it becomes difficult to find specific media of particular events due to the vast amount of disorganized content
Solution Approach 1:
The patent segments the vast media content by organizing it into coordinated groups based on matching metadata (time, location, event). Instead of presenting all media as a single undifferentiated mass, the system divides it into meaningful segments that users can easily navigate. Media items are segmented into coordinated groups that represent specific events or moments, making the large quantity of content manageable and searchable.
Solution Approach 2:
The patent introduces metadata (time, location, event information) as an intermediary layer between the user and the media content. This intermediary enables automatic organization and coordination of media items without requiring users to manually sort through content. The metadata acts as a mediator that connects unrelated media items to the same event, solving the navigation problem in large media collections.
2Quantity of substance
If multiple users independently capture media of the same event, then comprehensive coverage of the event is achieved, but the media remains disorganized and difficult to view as a coordinated set
Solution Approach 1:
The patent merges independent media collections from multiple users by identifying and grouping media items that share matching metadata (same time, location, and event). This combining process creates coordinated media sets that maintain the completeness of individual contributions while adding organizational structure. The system merges disparate media into unified event representations without losing the diversity of perspectives.
Solution Approach 2:
The patent uses parameter matching (time, location, event metadata) to transform disorganized media collections into coordinated groups. By changing the organizational parameters from none to specific metadata criteria, the system automatically groups media items that capture the same event from different perspectives. This parameter-based organization maintains comprehensive coverage while establishing stable structure.
3Loss of information
If users spend hours searching through dozens of users' videos to find what they are looking for, then they can potentially find relevant content, but significant time is wasted in the search process
Solution Approach 1:
The patent performs preliminary organization of media content by automatically grouping media items into coordinated sets based on metadata matching, before users need to search. This preliminary action of pre-organizing media eliminates the need for users to manually sort through content during their search. The system has already done the work of identifying and grouping relevant media, so users can directly access coordinated results without time-consuming manual searching.
Data Source
AI summary
A media search system is described here that finds existing media based on matching metadata and links them together for orderly viewing. The system uses social media providers and artificial intelligence and/or machine learning and or other public APIs to search available metadata of media stored by each provider to find matching metadata for what a person is looking for in a specified area. The system may apply artificial intelligence (AI) to generate additional criteria to use for the search to find media responsive to the person's request. The system then groups the discovered media according to the found metadata and AI may also contribute suggestions for organizing the discovered media. Once the media is grouped together, the system allows the user to switch between media within the same group. Thus, the media search system makes the wealth of available media more accessible to people looking for a particular event.