Second-Screen Metadata Crowdsourcing for TV Content Discovery
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Solution Overview
Problem
Existing technologies have not effectively addressed the need to efficiently gather and provide related information, such as metadata, for enhancing the television viewing experience, particularly in the context of the television program.
Innovation Solution
The system facilitates acquiring and providing metadata, which includes a metadata, which includes a metadata, which includes a metadata, which includes a metadata, which includes a metadata, which includes a metadata, which includes a metadata, which includes a metadata, which can be implemented using a metadata manager, such as a metadata manager 201a, to collect and generate metadata from user devices, and provide it to second screen devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional centralized methods are used to gather metadata, then data quality and consistency can be maintained, but the system complexity and cost increase significantly
Solution Approach 1:
The patent implements a crowdsourcing system where users automatically contribute metadata about content they are consuming. Second screen devices detect content being viewed on first screen devices and automatically generate and submit metadata submissions without requiring manual data entry or centralized coordination. This self-service approach allows the system to gather high-quality metadata from actual user experiences while avoiding the complexity of centralized data collection infrastructure.
2Adaptability or versatility
If more metadata is collected to enhance viewing experience, then user engagement improves, but data processing and storage requirements increase
Solution Approach 1:
The patent segments metadata collection into discrete, content-specific submissions tied to particular time points or events in the content being consumed. Each metadata submission is independently generated and associated with specific content identifiers and timestamps. This segmentation allows the system to collect detailed, versatile metadata for enhancing viewing experiences while managing data volume through organized, queryable units rather than overwhelming centralized storage requirements.
Solution Approach 2:
The patent creates a universal metadata submission format that can capture diverse types of information (user reactions, content descriptions, timestamps, device information) in a standardized structure. This multi-functional metadata system can serve multiple purposes including recommendation engines, content analysis, user engagement tracking, and personalized experiences, thereby enhancing viewing experiences across different applications without requiring separate data collection systems for each function.
3Adaptability or versatility
If real-time metadata collection is implemented, then user engagement is enhanced, but processing speed and system responsiveness become challenging
Solution Approach 1:
The patent implements preliminary action by having second screen devices automatically detect and identify content being consumed on first screen devices before metadata submission is needed. The devices pre-establish content identifiers, timestamps, and basic metadata information in advance, so when users interact with the content or provide feedback, the system already has the contextual framework ready. This preliminary detection and identification work reduces the processing burden during actual metadata collection and enables faster real-time responses.
Solution Approach 2:
The patent uses copying by having second screen devices automatically detect and replicate content identification information from first screen devices. Rather than requiring complex real-time analysis of the actual content stream, the system copies metadata identifiers, timestamps, and content descriptors from the source device. This copying approach enables rapid metadata collection across multiple devices while maintaining data consistency and reducing processing requirements for real-time analysis.
Data Source
AI summary
Methods and systems for sourcing supplemental content are disclosed. Secondary devices may be used to identify content streaming on first screen devices and to generate supplemental data for the content. In this manner, users may be leveraged to create various data for a variety of content. The data may be collected and organized so that users watching content at a later time may have access to the data. Methods and systems for using second screen devices to access metadata created by the crowd are also disclosed.