Metadata Distribution System for Device-Specific Bandwidth Optimization
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Solution Overview
Problem
Current media content metadata distribution systems transmit excessive data, which is not optimized for the capabilities of end user devices, leading to inefficient bandwidth usage and storage requirements, and lack customization for varying device capabilities and user preferences.
Innovation Solution
A metadata distribution system that detects the characteristics of requesting devices, such as type, network performance, and user preferences, to deliver a tailored set of metadata fields, optimizing transmission and storage while ensuring optimal display and processing on diverse devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all available metadata is transmitted to end user devices, then complete information is provided, but bandwidth consumption increases and storage requirements increase
Solution Approach 1:
The patent applies local quality by customizing metadata transmission according to specific device characteristics and user preferences. Different devices receive different subsets of metadata fields tailored to their capabilities and user needs, rather than uniform transmission of all metadata. This resolves the contradiction by providing locally optimized information quality that matches device-specific requirements.
Solution Approach 2:
The patent segments metadata into different fields and categories (e.g., program information, actor information, genre information) and selectively transmits only relevant segments based on device capabilities and user preferences. This segmentation allows the system to reduce overall bandwidth consumption while maintaining information completeness for each specific device context.
2Loss of information
If comprehensive metadata is transmitted to all devices, then information completeness is maintained, but device storage requirements increase
Solution Approach 1:
The system customizes metadata transmission to match specific device storage capabilities and user preferences, providing locally optimized information sets. This ensures each device receives only the metadata fields it needs and can store efficiently, resolving the contradiction between information completeness and storage requirements.
Solution Approach 2:
Metadata is segmented into discrete fields that can be selectively transmitted based on device storage capacity and user preferences. This allows the system to maintain information completeness for each device context while minimizing overall storage requirements through selective field transmission.
3Loss of energy
If metadata is optimized for specific device capabilities, then bandwidth efficiency improves, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-defining device capability profiles and user preference templates that guide metadata transmission decisions. This preparation work is done in advance, allowing the system to efficiently customize metadata transmission without complex real-time processing, thus improving bandwidth efficiency while managing system complexity.
Solution Approach 2:
The system changes parameters such as metadata field selection, data format, and transmission volume based on detected device capabilities and user preferences. This parameter adaptation allows bandwidth optimization for different devices while using standardized metadata structures that manage system complexity.
4Device complexity
If standardized metadata is transmitted to all devices, then system simplicity is maintained, but device-specific optimization is lost
Solution Approach 1:
The patent applies parameter changes by adjusting metadata transmission parameters (field selection, data volume, format) based on device capabilities while maintaining a standardized core metadata structure. This allows the system to balance simplicity with optimization, achieving good metadata display efficiency across diverse devices without requiring completely separate systems for each device type.
Data Source
AI summary
A system and method for the customization of media content metadata that is transmitted to any one of a plurality of end user devices of differing types. The system is adapted to modify individual records or even individual fields from the entire gamut of available metadata into a metadata feed which is optimally suited for display upon the type of end user device. Additionally, the system is also able to modify the records or individual fields from a list of all metadata instances according to pre-recorded user preferences. The result is a system that optimally utilizes the current connection path in order to reduce congestion thereon, or to alleviate any user potential frustration caused by sporadic performance of the overloaded interconnection path.