Transmission Stream Component Selection with Time-Division Signaling
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Solution Overview
Problem
Existing broadcasting systems face challenges in securing ease of component selection at the reception side, particularly in hybrid broadcasting/communication systems.
Innovation Solution
A 3-layer component selection model is introduced, comprising an adaptive, composite, and selective layer, utilizing a component structure table (CST) and MMT packet structure to facilitate seamless component selection and presentation in hybrid systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a hybrid broadcasting/communication system is implemented, then system functionality and adaptability are improved, but component selection complexity at the reception side increases
Solution Approach 1:
The system segments media content into atomic components that can be independently selected and assembled. The component structure table divides the media stream into discrete, manageable units with specific attributes, allowing the reception device to selectively assemble components based on capabilities and preferences without being overwhelmed by the entire system complexity.
Solution Approach 2:
The patent introduces a new dimensional approach by creating a multi-layered component selection model (adaptive layer, composite layer, selective layer) that adds structural organization to the selection process. This dimensional framework transforms the complex selection problem into a hierarchical decision-making process across multiple levels.
2Ease of operation
If component selection flexibility is increased, then user preference accommodation is improved, but system complexity increases
Solution Approach 1:
By segmenting the media stream into atomic components with well-defined attributes, the system enables flexible component selection while maintaining manageable complexity. Each component can be independently evaluated and selected based on user preferences and device capabilities, avoiding the need to manage complex interdependencies.
Solution Approach 2:
The system implements dynamic component selection through adaptive layers that can adjust component assembly based on real-time device capabilities, network conditions, and user preferences. This dynamic approach allows the system to adapt to different scenarios without requiring a completely different selection mechanism for each case.
3Measurement precision
If atomic components are defined with detailed attributes, then component selection precision is improved, but information processing load increases
Solution Approach 1:
The component structure table segments media information into atomic components with essential attributes, providing sufficient precision for selection while avoiding unnecessary detailed processing. Each component contains only the critical attributes needed for selection and assembly, reducing the overall information processing load compared to analyzing entire media streams.
Solution Approach 2:
The system applies partial action by processing and analyzing only the essential attributes of atomic components rather than complete media content. This selective processing approach provides sufficient precision for component selection while significantly reducing the information processing load compared to comprehensive analysis.
Data Source
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AI summary
To secure easiness of component selection at a reception side. A transmission stream is generated in which a first transmission packet including a predetermined component and a second transmission packet including signaling information related to the predetermined component are multiplexed in a time division manner.