Audio Fingerprinting for TV Content Identification
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Solution Overview
Problem
Internet-enabled television sets lack the ability to identify multimedia content being viewed, hindering the presentation of additional information and promotional content, which is crucial for enhancing user engagement and satisfaction.
Innovation Solution
An algorithm that retrieves an audio signal from multimedia content, performs fingerprinting based on modulation characteristics, and matches it against a content database to identify the source and provide additional information, such as promotional media, by partitioning the audio signal into segments, analyzing acoustic modulations, and generating a unique vector for efficient matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If audio fingerprinting is implemented to identify multimedia content, then content identification accuracy is improved, but device complexity increases
Solution Approach 1:
The audio signal is divided into multiple frames, with each frame processed independently to generate local fingerprints. This segmentation allows the complex fingerprinting process to be broken down into manageable, repeatable units that can be efficiently processed and compared against database entries.
Solution Approach 2:
The patent extracts specific modulation characteristics from the audio signal to create a compact fingerprint representation. By taking out only the essential features (modulation depth, frequency, and temporal patterns) rather than processing the entire audio signal, the system achieves accurate identification while maintaining computational efficiency.
2Measurement precision
If the entire audio signal is analyzed for fingerprinting, then identification accuracy is improved, but processing time increases
Solution Approach 1:
The audio signal is divided into multiple frames, with each frame processed independently to generate local fingerprints. This segmentation allows the complex fingerprinting process to be broken down into manageable, repeatable units that can be efficiently processed and compared against database entries.
Solution Approach 2:
The system processes only specific portions of the audio signal (selected frames with significant modulation characteristics) rather than analyzing every aspect of the entire signal. This partial action approach maintains identification accuracy while significantly reducing processing time and computational resources required.
3Reliability
If frequent database queries are performed for content verification, then content identification reliability is improved, but resource consumption increases
Solution Approach 1:
The system performs preliminary fingerprinting of audio frames and compares them against database entries in advance. By preparing and caching fingerprint data beforehand, the system reduces the need for frequent real-time database queries during content verification, thereby lowering resource consumption while maintaining reliable identification.
Solution Approach 2:
The system uses feedback from initial fingerprint comparisons to determine whether full database queries are necessary. If preliminary matching succeeds, subsequent verifications can be performed more efficiently without repeatedly querying the entire database, thus reducing resource consumption while maintaining reliability.
Data Source
AI summary
Methods and system for identifying multimedia content streaming through a television includes retrieving an audio signal from a multimedia content selected for rendering at the television. The retrieved audio signal is partitioned into a plurality of segments of small intervals. A particular segment is analyzed to identify acoustic modulation and to generate a distinct vector for the particular segment based on the acoustic modulation, wherein the vector defines a unique fingerprint of the particular segment of the audio signal. A content database on a server is queried using the vector of the particular segment to obtain content information for multimedia content that matches the fingerprint of the particular segment. The content information is used to identify the multimedia content and the source of the multimedia content that matches the audio signal received for rendering.