Audio Compression Analysis for Streaming Source Identification
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Solution Overview
Problem
Network streaming services, such as Netflix, Hulu, and YouTube, often lack audience measurement codes, making it difficult for audience measurement entities (AMEs) to identify the source of media being streamed.
Innovation Solution
AMEs can identify the source of network streaming services by analyzing the audio compression configurations used in the media, including audio coding formats and signal bandwidth, through techniques such as time-frequency analysis and compression artifact detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network streaming services do not include audience measurement codes, then the streaming service can operate without additional coding complexity, but the AME cannot identify the source of the media
Solution Approach 1:
The patent uses audio compression configuration parameters as an intermediary to indirectly identify the streaming service source. Instead of directly embedding identification codes in the audio stream, the system analyzes compression artifacts and parameters (such as sampling rate, bit rate, codec type) that serve as mediators between the audio signal and the source identification, allowing AMEs to determine the source without explicit coding
Solution Approach 2:
The patent replaces the mechanical/embedded coding system with an acoustic signal analysis system. Instead of relying on embedded identification codes or mechanical tagging systems, the invention uses audio signal processing techniques including time-frequency analysis, compression artifact detection, and parameter extraction to identify the source, substituting a more complex analysis-based approach for simpler embedded coding
2Measurement precision
If AMEs analyze audio compression configurations to identify sources, then source identification is possible without measurement codes, but the measurement process becomes more complex
Solution Approach 1:
The patent extracts specific compression parameters and artifacts from the audio signal for analysis. By taking out key features such as sampling rate, bit rate, codec type, and compression artifacts, the system simplifies the measurement process. These extracted parameters serve as measurable indicators that directly point to the source, making the detection process more manageable despite the inherent complexity of audio compression analysis
Solution Approach 2:
The patent utilizes changes in audio compression parameters as indicators of the source. Different streaming services employ distinct compression configurations, and by detecting parameter changes and variations in the audio signal, the system can identify the source. This approach transforms the complex compression process into detectable parameter patterns that facilitate measurement
Data Source
AI summary
Methods, apparatus and articles of manufacture to identify sources of network streaming services are disclosed. An example method includes receiving a first audio signal that represents a decompressed second audio signal, identifying, from the first audio signal, a parameter of an audio compression configuration used to form the decompressed second audio signal, and identifying a source of the decompressed second audio signal based on the identified audio compression configuration.