Media Content Transition System Using Concept Recognition
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Solution Overview
Problem
Conventional approaches to managing media content transitions in social networking systems fail to provide users with seamless access to related media content items, limiting the user experience and depriving content providers of the ability to optimize consumption by not allowing smooth transitions between linked media content.
Innovation Solution
A computer-implemented method and system that automatically identifies concepts in media content items using recognition techniques, assigning tags and transition markers to enable users to transition smoothly between related media content items based on orientation data, allowing for seamless exploration of relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional approaches are used to manage media content transitions, then the system structure remains simple, but user experience is limited and transitions between media content items are not seamless
Solution Approach 1:
The system performs preliminary actions by pre-identifying concepts in media content items and pre-establishing transitions between them. This allows seamless transitions to occur automatically when users interact with media content, without requiring complex real-time processing during the transition moment itself.
Solution Approach 2:
The system introduces an intermediary layer of concept identification and transition management that mediates between users and media content items. This intermediary automatically handles the complexity of transition management, providing seamless user experience while isolating the complexity from the user interface.
2Productivity
If automatic concept identification and transition markers are implemented, then user engagement is optimized, but processing complexity increases
Solution Approach 1:
The system enables media content items to serve themselves by automatically identifying concepts within the content and generating appropriate transition markers. This self-service approach allows the content to autonomously optimize user engagement without requiring external intervention or complex centralized processing.
Solution Approach 2:
The system segments media content into identifiable concepts and creates discrete transition markers for each concept. This segmentation allows the complex processing task to be divided into manageable units, each handling specific concepts within media content items, thereby optimizing user engagement while managing processing complexity.
3Measurement precision
If orientation data is used to match media content items for transitions, then relevance of transitioned content is improved, but data processing requirements increase
Solution Approach 1:
The system changes the parameter set used for matching media content items by utilizing orientation data (such as camera angle, position, and direction) instead of or in addition to traditional metadata. This parameter change enables more precise relevance matching while the system optimizes the processing of these orientation parameters to manage computational energy requirements.
Data Source
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AI summary
Systems, methods, and non-transitory computer readable media are configured to detect a concept reflected in a first media content item to which a user is provided access. It is determined that the concept has a threshold level of relevance to the user. The concept is associated with an element that upon selection causes a transition to a second media content item to which the user is provided access, the second media content item reflecting the concept. The element is presented in the first media content item for the user.