Dual-Path Ancillary Data Synchronization for Live Events
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Solution Overview
Problem
Current technologies are inadequate in managing ancillary data to make it accessible to consumers in an efficient, scalable, and accurately aligned manner, and they lack proper analytics on consumer interest in such data.
Innovation Solution
The system employs a dual path for ancillary data synchronization with content, using local fingerprinting to compare live events with database-stored data, allowing for real-time updates and additional information, and enables data analytics by channelizing ancillary data for independent management across different applications, with features like ACR for content identification and Key-code insertion for secure metadata access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-path data transmission is used, then system simplicity is maintained, but data synchronization accuracy and scalability deteriorate
Solution Approach 1:
The patent divides the data transmission system into two independent paths: a first path for transmitting content data and a second path for transmitting ancillary data. This segmentation allows each path to be optimized independently, improving synchronization accuracy without requiring complete system redesign. The dual-path architecture enables precise control over data delivery timing and quality while maintaining manageable complexity through modular design.
Solution Approach 2:
The patent introduces a mediator component that receives both content data and ancillary data, then distributes them to appropriate output devices. This intermediary layer coordinates the synchronization between the two data paths, ensuring accurate alignment of content and ancillary information while simplifying the overall system architecture by centralizing the coordination function.
2Ease of operation
If ancillary data is integrated with content data in a single transmission path, then system complexity is reduced, but data accessibility and user engagement deteriorate
Solution Approach 1:
The patent segments ancillary data into distinct channels that can be independently accessed, managed, and distributed. This segmentation enables users and systems to selectively access specific types of ancillary data (e.g., subtitles, metadata, interactive elements) without needing to process all content data, significantly improving data accessibility and user engagement while maintaining manageable complexity through organized data structures.
3Loss of information
If comprehensive data collection is implemented, then analytics capability is improved, but data processing complexity and resource consumption increase
Solution Approach 1:
The patent extracts and separates ancillary data from the main content data stream, allowing analytics functions to focus specifically on processing and analyzing ancillary data independently. This extraction enables comprehensive data collection and advanced analytics on user interactions with ancillary elements (such as subtitle preferences, metadata engagement, interactive content selection) without requiring the entire content data processing pipeline to be scaled up, thereby improving analytics capability while controlling processing complexity.
Data Source
AI summary
A method for a media environment driven content distribution platform includes obtaining synchronization data derived from the content and ancillary data pegged to instants in the synchronization data derived from the content, and communicating the synchronization data derived from the content and the ancillary data pegged to the instants in the synchronization data derived from the content such that subsequent alignment of the synchronization data derived from the content to the content synchronizes the ancillary data pegged to the instants in the synchronization data derived from the content to the content.