Audio Watermark Detection via Local Polling and Spectral Extraction
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Solution Overview
Problem
Existing methods for delivering content to mobile communication devices using audio watermarks are complex, require long-term audio signal acquisition, and need a permanent server connection, which is inefficient and intrusive, failing to provide relevant content to users without disturbing them.
Innovation Solution
A method and system that allow mobile communication devices to detect audio watermarks locally, triggering relevant content delivery by periodically requesting and processing audio signal parameters, using a likelihood function to identify watermarks, and operating in a low-power polling mode, enabling instantaneous detection without continuous server connection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the mobile communication device acquires the audio signal continuously and decodes it for retrieving the watermark, then the watermark detection accuracy is improved, but the power consumption increases and the user experience deteriorates due to constant operation
Solution Approach 1:
The patent implements periodic polling of the audio environment instead of continuous acquisition. The device wakes up at intervals to detect watermarks and then returns to sleep mode, significantly reducing power consumption while maintaining detection capability. This is achieved through a polling mechanism that periodically activates the audio processing pipeline.
Solution Approach 2:
The patent extracts only the essential parameters needed for watermark detection (power spectral density in specific frequency bands) rather than processing the entire audio signal continuously. By focusing on specific frequency bands where watermarks are embedded, the system reduces computational load and power consumption while maintaining detection accuracy.
2Reliability
If the mobile communication device requires a permanent connection to the server for accessing the database, then the content delivery reliability is improved, but the device complexity increases and the ease of operation deteriorates
Solution Approach 1:
The patent pre-loads watermark parameters (frequency bands, likelihood thresholds, power spectral densities) into the device memory before detection begins. This preliminary preparation allows the device to perform local watermark detection without needing continuous server connections, improving user convenience while maintaining detection reliability through locally stored reference data.
3Reliability
If the audio signal acquisition period is extended, then the watermark detection reliability is improved, but the loss of time increases and the productivity decreases
Solution Approach 1:
The patent focuses detection efforts on specific frequency bands (local quality) where watermarks are known to be embedded, rather than analyzing the entire audio spectrum. By concentrating computational resources on relevant frequency regions, the system achieves reliable detection with shorter acquisition periods, reducing detection time while maintaining reliability.
4Measurement precision
If the system processes the entire audio signal, then the measurement precision is improved, but the use of energy increases and the productivity decreases
Solution Approach 1:
The patent extracts and processes only the power spectral density in specific frequency bands where watermarks are embedded, rather than analyzing the entire audio signal. This selective processing approach maintains detection precision by focusing on relevant spectral regions while significantly improving detection efficiency and reducing computational overhead.
Data Source
AI summary
A system and method for delivering content to at least one mobile communication device is disclosed. The system comprises software for detecting an audio watermark in a watermarked audio signal that has been broadcast by at least one local audio transmitter and if necessary triggering an event on the mobile communication device.