Isolated Watermark Detection for Audio Engineering Problem Identification
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Solution Overview
Problem
Existing media transmission systems face challenges in accurately identifying and addressing audio engineering problems due to the presence of errant watermarks, which can be isolated and go undetected among numerous valid watermarks, leading to issues in media reception and presentation.
Innovation Solution
A method and apparatus that utilize the detection of isolated watermarks to identify problems in media transmission, reception, and presentation by evaluating the number of errant watermarks over a measurement interval and comparing data across multiple geographic locations to determine if issues are site-specific or systemic, allowing for targeted resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If watermarks are repeated regularly throughout media transmission, then accuracy of collected data is improved, but complexity of detecting and measuring isolated errant watermarks increases
Solution Approach 1:
The patent segments the watermark detection process into distinct components: (1) detection of individual watermarks, (2) identification of isolated watermarks through pattern recognition, and (3) determination of whether isolated watermarks indicate audio engineering problems. This segmentation allows the system to handle the complexity of detecting errant watermarks among many valid ones by breaking down the analysis into manageable steps.
Solution Approach 2:
The patent implements feedback mechanisms where detected watermark patterns are analyzed and used to identify audio engineering problems. The system continuously monitors watermark detection results, compares them against expected patterns, and provides feedback to identify deviations caused by isolated errant watermarks, thereby improving the overall detection accuracy.
2Reliability
If multiple geographic locations are monitored to determine systemic issues, then reliability of problem identification is improved, but device complexity increases
Solution Approach 1:
The patent applies universality by using the same watermark detection and analysis system across multiple geographic locations. The identical detection algorithms and analysis methods are deployed universally at different sites, allowing for consistent problem identification while avoiding the need for location-specific complex systems. This multi-functional approach enables the system to serve multiple monitoring purposes with a standardized solution.
Solution Approach 2:
The patent merges data from multiple geographic locations into a unified analysis framework. By combining watermark detection results from different sites and comparing them against a common baseline, the system can identify whether isolated watermarks represent local anomalies or systemic issues affecting multiple locations, thereby improving reliability without requiring entirely separate analysis systems.
3Productivity
If isolated watermarks are identified to detect audio engineering problems, then productivity of problem detection is improved, but loss of information increases due to potential false positives
Solution Approach 1:
The patent applies preliminary action by establishing expected watermark patterns and criteria for identifying isolated watermarks before actual detection occurs. The system pre-defines what constitutes a valid watermark sequence and what deviations might indicate audio engineering problems. This preliminary preparation enables rapid detection while maintaining accuracy, as the decision-making framework is already in place to distinguish true problems from false positives.
Solution Approach 2:
The patent uses feedback loops where detected isolated watermarks are validated against multiple criteria before being flagged as audio engineering problems. The system continuously refines its identification algorithms based on detected patterns, reducing false positives while maintaining high detection speed. Feedback from confirmed problems is used to improve the sensitivity and specificity of future detections.
Data Source
AI summary
Example methods and apparatus to detect audio engineering problems using identification of isolated watermarks are disclosed herein. Disclosed example methods include identifying, by executing an instruction with a processor, isolated watermarks in a first set of detected watermarks obtained from first media monitored at a first site. Disclosed example methods further include determining, by executing an instruction with the processor, a problem has been detected with the first media associated with the first set of detected watermarks in response to a first number of isolated watermarks identified in the first set of detected watermarks satisfying a first threshold.