Non-linear Transmedia Content Data Structure for Efficient Visualization
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Solution Overview
Problem
Existing systems for managing and visualizing transmedia content are inadequate in predicting trends and resonating with audiences, struggling to efficiently organize and share large amounts of multimedia data, especially on lower-power devices like smartphones, and lack tools for creating and managing non-linear content connections.
Innovation Solution
A computer-implemented method for generating and managing non-linear transmedia content data items, involving creating and storing transmedia content data items with user associations, forming ordered groups with time-ordered links, and tracking user interactions to calculate contribution values, allowing for efficient processing and visualization of complex content networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If transmedia content data items are organized into ordered groups with time-ordered links, then content visualization and user interaction are improved, but system complexity and processing requirements increase
Solution Approach 1:
The patent segments the transmedia content system into distinct components: content data items, ordered groups, time-ordered links, and user associations. Each component is independently structured and stored, allowing complex content relationships to be managed through modular data elements rather than monolithic structures.
Solution Approach 2:
The patent introduces temporal dimensionality through time-ordered links that connect content data items across different ordered groups. This adds a time-based ordering layer to the content structure, enabling historical and chronological relationships to be visualized and managed without increasing spatial complexity.
2Productivity
If large amounts of multimedia data are organized and shared across multiple users, then content discovery and audience engagement improve, but processing efficiency and performance on lower-power devices deteriorate
Solution Approach 1:
The patent extracts essential metadata and structural information from transmedia content data items, storing only the necessary elements (content identifiers, user associations, time-ordered links) rather than complete content copies. This extraction approach enables efficient indexing and retrieval without requiring full content processing on all devices.
Solution Approach 2:
The patent performs preliminary organization of content data items into ordered groups with established time-ordered links during content creation and upload. This pre-structuring eliminates the need for complex real-time sorting and organization operations on lower-power devices, reducing their processing burden during content discovery.
3Adaptability or versatility
If non-linear content connections are created between multiple content items, then content versatility and user interaction improve, but data structure complexity and storage requirements increase
Solution Approach 1:
The patent creates a universal ordered group structure that can contain any type of transmedia content data item (video, audio, text, images) and support multiple user associations. This multi-functional data structure enables non-linear content connections across diverse media types without requiring separate specialized structures for each content type.
Solution Approach 2:
The patent introduces time-ordered links as intermediary elements that connect content data items across different ordered groups. These links serve as mediators that establish non-linear relationships without requiring direct complex structures between all content items, reducing overall data structure complexity while maintaining versatility.
4Productivity
If user contributions and interactions are tracked and attributed, then content creation motivation and community engagement improve, but data processing overhead and system resource requirements increase
Solution Approach 1:
The patent merges user association data with content data item storage, maintaining records that link users to the content they created or contributed to. This integration eliminates separate tracking systems and reduces data processing overhead by consolidating attribution information within the existing content structure.
Data Source
AI summary
The invention relates to systems and methods for manipulating non-linearly connected transmedia content, in particular for creating, processing and/or managing non-linearly connected transmedia content and for tracking content creation and attributing transmedia content to one or more creators. Specifically, the invention involves creating a transmedia content data item by a first user and storing the transmedia content data item in a data store, along with a record indicating an association between the first user and the transmedia content data item; creating an ordered group of transmedia content data items by a second user, the ordered group comprising a pointer to the transmedia content data item of the first user; and storing the ordered group and a record associating both the first user and the second user with the ordered group in the data store.