Transmedia Content Insertion via Spatial Analysis
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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 handle large multimedia datasets, especially on lower-power devices, and fail to facilitate easy identification of relevant content and similar users for creating structured groups.
Innovation Solution
A computer-implemented method for inserting one visual media item into another by analyzing spatial and temporal locations within the first media item, transforming the second item to match characteristics, and combining them seamlessly, along with a system architecture that includes a recommender engine and user model to suggest content and users based on metadata and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually browse and identify relevant content for structured groups, then content selection accuracy improves, but time consumption and operational complexity increase significantly
Solution Approach 1:
The system enables self-service by automatically analyzing user preferences, metadata, and content characteristics to identify and insert relevant content into structured groups without manual intervention. The automated content insertion system processes and organizes transmedia content based on learned patterns from user behavior and content metadata.
Solution Approach 2:
The patent replaces the mechanical manual browsing and selection process with an automated computational system that uses machine learning algorithms, metadata analysis, and content embedding techniques to identify and insert relevant content, substituting human cognitive and manual operations with automated digital processes.
2Speed
If the system processes and visualizes large multimedia datasets in real-time, then user feedback responsiveness improves, but computational power requirements and device complexity increase
Solution Approach 1:
The system segments the large multimedia dataset into smaller manageable units such as content items, metadata elements, and user preference profiles. This segmentation allows parallel processing and reduces the computational burden on individual devices while maintaining real-time processing capabilities through distributed computation.
Solution Approach 2:
The system performs preliminary actions by pre-processing and embedding content metadata, pre-analyzing user preferences, and pre-organizing content structures before real-time visualization is needed. This advance preparation reduces the computational complexity during real-time operations, enabling faster processing on lower-power devices.
3Loss of information
If the system provides detailed visualization of large multimedia datasets, then content exploration capability improves, but performance on lower-power devices deteriorates
Solution Approach 1:
The system applies local quality by providing detailed visualization and analysis only for the specific content region or item currently being explored by the user, rather than processing and displaying all content simultaneously. This localized approach maintains content exploration capability while reducing the computational energy requirements on lower-power devices.
Data Source
AI summary
The present disclosure relates to an apparatus, system and method for processing transmedia content data. More specifically, the disclosure provides for identifying and inserting one item of media content within another item of media content, e.g. inserting a video within a video, such that the first item of media content appears as part of the second item. The invention involves analysing a first visual media item to identify one or more spatial locations to insert the second visual media item within the image data of the first visual media item, detecting characteristics of the one or more identified spatial locations, transforming the second visual media item according to the detected characteristics and combining the first visual media item and second visual media item by inserting the transformed second visual media item into the first visual media item at the one or more identified spatial locations.