Screen Snapshot Metadata Extraction for User Consumption Tracking
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Solution Overview
Problem
Current technologies lack an effective mechanism for capturing user consumption data across various devices, such as advertisements and media content, which is crucial for understanding user behavior and preferences for targeted advertising and product development.
Innovation Solution
A client device equipped with hardware processors and configured to capture screen image snapshots, reduce resolution, discard duplicates, and transfer metadata to a processing server, allowing for the monitoring of user interactions with advertisements and media content, optimizing storage and battery life while maintaining data integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full-resolution screen image snapshots are captured continuously, then user consumption data quality is improved, but device storage and battery life deteriorate
Solution Approach 1:
The patent extracts only the essential information from full-resolution screen images by capturing metadata (timestamps, content identifiers, duration) rather than storing complete high-resolution images. This separation allows maintaining data quality for analysis while dramatically reducing storage requirements on the client device.
Solution Approach 2:
The system creates simplified copies of screen content information through metadata extraction. Instead of storing actual full-resolution images, it captures representative data (content type, timestamp, duration) that preserves user consumption patterns while using minimal storage space.
2Measurement precision
If full-resolution screen image snapshots are captured continuously, then user consumption data quality is improved, but battery consumption increases
Solution Approach 1:
The system extracts only necessary information (metadata) from screen content rather than continuously processing and storing full-resolution images. This extraction approach maintains accurate consumption tracking while minimizing the computational energy required for image processing and storage operations.
Solution Approach 2:
The patent uses lightweight metadata structures instead of heavy full-resolution images. These simplified data representations require minimal processing power and memory, enabling continuous tracking without significant battery impact.
3Loss of information
If all captured screen image snapshots are transferred to server, then data completeness is improved, but network bandwidth and processing load deteriorate
Solution Approach 1:
The system extracts and transfers only essential metadata (timestamps, content identifiers, consumption duration) to the server rather than transmitting complete screen images. This maintains data completeness for analytical purposes while dramatically reducing network bandwidth consumption and server processing requirements.
Solution Approach 2:
The patent implements partial data transfer by sending only the most critical consumption information to the server. This selective transmission approach provides sufficient data for user behavior analysis without the excessive network load and processing power that would be required for complete image transfers.
Data Source
AI summary
A client device assists in identifying user consumption of information. The client device comprises a hardware processor; a screen; memory storing computer instructions that when executed perform capturing a series of screen image snapshots being presented on the screen; reducing resolution of each screen image snapshot in the series of screen image snapshots; capturing metadata associated with each screen image snapshot in the series of screen image snapshots, the metadata at least including a timestamp; identifying a duplicate in the series of screen image snapshots; discarding the duplicate from the series of screen image snapshots; and uploading the series of captured screen image snapshots to a processing server for processing.