Digital Watermark Content Recognition in Noisy Environments
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Solution Overview
Problem
Conventional content recognition techniques face challenges in accurately identifying content signals due to ambient noise, acoustic reflections, and temporal distortion, leading to unreliable identification of content signals in noisy and distorted environments.
Innovation Solution
Embedding digital watermarks into content signals that convey signal data representing salient features, allowing for robust identification of known content signals within ambient content by aggregating and decoding watermark messages to extract signal data, even in the presence of noise and distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional content recognition techniques are used to identify content signals in ambient environments, then the system can operate with simple processing, but the identification accuracy deteriorates due to ambient noise, acoustic reflections, and temporal distortion
Solution Approach 1:
The patent applies preliminary action by embedding digital watermarks into content signals before they are transmitted or stored. These watermarks contain encoded information about the content's identity and characteristics, allowing recognition systems to identify content even when the audio signal is degraded by ambient noise, reflections, or temporal distortion. The watermark is prepared in advance and attached to the content, so when recognition is needed, the pre-encoded information can be extracted and matched against a database of known content identifiers.
2Reliability
If digital watermarks are embedded into content signals to improve identification robustness, then the reliability of content recognition improves, but the device complexity increases due to additional watermarking and decoding components
Solution Approach 1:
The patent applies copying by creating a digital watermark that is a simplified representation or copy of the content's identifying features. Rather than analyzing the entire complex audio signal to identify content, the system uses the embedded watermark as a compact copy of the essential identification information. This watermark can be extracted and compared against a database of known watermarks, enabling reliable recognition without requiring complex real-time analysis of the full audio signal.
3Use of energy by moving object
If content signals are sampled at lower loudness levels to reduce energy consumption, then the energy usage decreases, but the content recognition accuracy deteriorates
Solution Approach 1:
The patent applies the intermediary principle by using the digital watermark as a mediator between the content signal and the recognition system. The watermark is embedded in the content signal and can be detected even when the audio signal itself is at low loudness levels. This allows the system to operate with lower energy consumption for audio capture and processing while still achieving accurate content recognition through the more robust watermark detection process.
Data Source
AI summary
The present disclosure relates generally to signal processing techniques for content signals such as audio, images and video signals. More particularly, the present disclosure relates to processing content signals to facilitate recognition of ambient content signals using digital watermarks and/or digital fingerprints.