Secure Device Viewership Monitoring via Digital Watermark Detection
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Solution Overview
Problem
Current methods for collecting viewership information in digital content delivery networks face challenges due to encryption and the lack of an analog audio signal interface, leading to inefficiencies and interference in monitoring content consumption.
Innovation Solution
A secure device, such as a router or playback device, is used to decrypt and process encrypted digital content, recovering program information from watermarks and combining it with viewership data to generate statistics without relying on acoustic signals, ensuring secure and accurate data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If audio watermarking is used in analog systems to track viewership, then automated content identification is achieved, but the method becomes ineffective in digital encrypted networks
Solution Approach 1:
The patent replaces acoustic field-based watermark detection with electromagnetic field-based detection. Instead of using microphones to capture audio watermarks through acoustic signals, the system uses digital signal processing to directly detect watermarks embedded in the encrypted digital signal domain, substituting the mechanical/acoustic detection mechanism with an electronic/digital one that works effectively in encrypted digital networks
Solution Approach 2:
The patent changes the detection parameter from acoustic signal frequency analysis to digital signal correlation analysis. By transforming the watermark detection from the acoustic domain to the digital signal domain, the system can detect watermarks in encrypted digital streams without requiring decryption or acoustic conversion, maintaining detection accuracy in modern digital networks
2Loss of information
If manual viewer logging is used to collect viewership information, then detailed viewing data is obtained, but the process requires significant human effort and time
Solution Approach 1:
The patent implements self-service by having the monitoring device automatically detect watermarks and generate viewership reports without human intervention. The system autonomously captures viewing events, identifies content being watched, tracks viewing duration, and compiles statistics, completely eliminating the need for manual viewer logging while maintaining complete viewership data
Solution Approach 2:
The patent replaces the mechanical process of manual note-taking and data entry with automated electronic detection and processing. The monitoring device uses digital signal processing to automatically identify watermarks and generate structured viewership data, substituting human cognitive and manual operations with electronic automation
3Loss of information
If acoustic monitoring is used to detect watermarks in digital networks, then content identification is possible, but background noise and acoustic interference reduce reliability
Solution Approach 1:
The patent replaces acoustic field monitoring with direct digital signal monitoring. Instead of capturing sound waves through microphones and processing acoustic signals, the system directly analyzes the digital electrical signals carrying the watermark information, eliminating acoustic interference entirely by operating in the electromagnetic domain rather than the acoustic domain
Solution Approach 2:
The patent introduces a digital signal processing intermediary that extracts watermark information directly from the encrypted digital signal stream without converting to acoustic form. This intermediary processing layer operates in the digital domain, preventing acoustic noise from affecting watermark detection while maintaining the ability to recover watermark information
4Measurement precision
If content delivery networks share detailed viewing information with ratings companies, then accurate ratings are generated, but customer privacy concerns arise
Solution Approach 1:
The patent extracts only the necessary aggregated viewership statistics (what content was watched, when, and by how many devices) without extracting or transmitting any personally identifiable customer information. The system separates useful measurement data from sensitive personal data, transmitting only the former to ratings companies while maintaining customer privacy
Solution Approach 2:
The patent creates anonymized copies of viewing data that preserve statistical patterns necessary for accurate ratings while removing all identifying customer information. Instead of sharing original detailed viewing logs that could identify individuals, the system shares processed statistical copies that maintain measurement precision without compromising privacy
Data Source
AI summary
Methods and apparatus for collecting program viewership information are described. A viewership monitoring module is provided access to decrypted program content allowing program information to be recovered without having to capture output program content using a microphone or camera. The monitoring module is loaded onto a secure device, e.g., a home network device, such as a router used to deliver content to a secure playback device. Alternatively the secure device which performs the monitoring maybe the secure playback device. Since a user of the secure device or a company implementing the viewership monitoring process loads the monitoring module onto the secure device, the network used to deliver the secure content need not be informed of which network customers are contributing to the viewership information which is being collected.