Automated Media Tagging and Preference-Based Sharing
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Solution Overview
Problem
Users face challenges in efficiently sharing visual media items like photos and videos due to the lack of accurate tags, leading to cumbersome and unrelated content being shared, especially since manual tagging is time-consuming and often incomplete, limiting search and browsing capabilities.
Innovation Solution
The system implements targeted media sharing by associating media items with tags and sharing preferences, allowing for automatic or user-initiated transmission of media items to specific individuals based on matching tags and preferences, using automated tagging and metadata refinement to enhance accuracy and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tagging is used to organize media items, then users can control which content is shared, but the process becomes time-consuming and often incomplete
Solution Approach 1:
The system performs preliminary automated tagging of media items with multiple potential tags before sharing decisions are made. This pre-tagging process uses image recognition and metadata analysis to anticipate relevant categories, allowing the system to quickly match items with interested users without requiring manual tagging at the moment of sharing
Solution Approach 2:
The patent introduces an intermediary tagging layer that sits between the media item and the user's interest profile. Instead of directly matching users to media, the system uses automated tags as intermediaries that bridge the two, enabling efficient matching while maintaining accuracy through multiple tag candidates and refinement processes
2Ease of operation
If media items are shared in a flat manner to all friends, then sharing is simple and automatic, but the content becomes unrelated and overwhelming for recipients
Solution Approach 1:
The system applies local quality by tailoring the shared content to each recipient's specific interests and preferences. Instead of uniform sharing to all friends, the patent segments the audience and customizes which media items are shared with each user based on their profile, ensuring high relevance while maintaining automated operation
Solution Approach 2:
The patent segments both the media library and the user base into meaningful groups based on tags and interests. Media items are categorized with multiple tags, and users have interest profiles that segment them into different recipient groups, allowing the system to selectively share content with relevant subsets of the user's network rather than broadcasting to everyone
3Productivity
If automated tagging is used to increase sharing speed, then manual effort is reduced, but tagging accuracy and relevance may decrease
Solution Approach 1:
The system performs partial tagging by applying multiple potential tags to each media item rather than selecting a single tag immediately. This excessive tagging approach ensures that no potentially relevant category is missed, and the system can later refine the matching based on user preferences without sacrificing accuracy for speed
Solution Approach 2:
The patent incorporates feedback mechanisms where user interactions with shared content (such as liking, commenting, or ignoring certain types of media) are used to refine and improve the automated tagging system over time. This feedback loop continuously enhances tagging accuracy while maintaining high-speed automated operation
Data Source
AI summary
In one embodiment, a set of tags associated with a media item may be ascertained. One or more of a plurality of individuals may be identified based, at least in part, upon the set of tags associated with the media item and a plurality of sets of sharing preferences, each one of the plurality of sets of sharing preferences being associated with a corresponding one of the plurality of individuals and indicating tags for which media items are to be automatically shared with the corresponding one of the plurality of individuals. Information pertaining to the media item may be shared with the identified individuals.