Audio Fingerprint Clustering for Set Top Box Viewership Tracking
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Solution Overview
Problem
The fragmentation of TV viewership in national markets due to diverse communication channels makes it challenging to provide accurate and efficient viewership ratings for TV programs, as existing methods struggle to aggregate and combine viewership data from different content providers effectively.
Innovation Solution
A system and method that utilize audio fingerprints generated by set top boxes to identify TV programs, where these fingerprints are grouped and compared to determine corresponding TV program information, allowing for accurate viewership tracking across multiple channels and providers, using a computer server system that partitions and matches audio fingerprints with channel metadata to provide reliable viewership data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If audio fingerprints are collected from multiple set top boxes across different communication channels, then viewership data coverage is improved, but data aggregation and matching accuracy deteriorates due to fragmentation across satellite, cable, phone line, and Internet providers
Solution Approach 1:
The system segments the viewership data collection process by having each set top box independently generate audio fingerprints from its local audio signal. Each STB processes its own audio stream through fingerprint generation, creating discrete, identifiable data units that can be aggregated from multiple sources without requiring centralized processing of raw audio signals.
Solution Approach 2:
Audio fingerprints serve as an intermediary element between diverse communication channels and the central server. Instead of directly comparing raw audio signals from different providers (satellite, cable, Internet), the system uses standardized fingerprint representations as a common language that enables accurate matching across heterogeneous sources while preserving measurement precision.
2Power
If each set top box generates its own audio fingerprints locally, then server processing load is reduced, but the complexity of fingerprint generation and transmission increases at the client side
Solution Approach 1:
The computationally intensive fingerprint generation process is extracted from the central server and relocated to individual set top boxes. Each STB locally extracts fingerprint features from its audio signal, transforming the server's role from active processor to passive aggregator, thereby significantly reducing server processing load while distributing computational complexity to client devices.
Solution Approach 2:
Each set top box autonomously generates its own audio fingerprints without requiring server-side processing assistance. The STBs independently perform audio signal analysis, fingerprint extraction, and transmission, making the system self-service oriented at the client level and freeing server resources for aggregation and matching operations.
3Productivity
If audio fingerprints are grouped by similarity to identify TV programs, then viewership aggregation efficiency is improved, but the computational complexity of comparing and clustering fingerprints increases
Solution Approach 1:
Audio fingerprints are pre-processed and standardized before aggregation, with each STB generating fingerprints in a consistent format that facilitates efficient matching. The preliminary fingerprint generation at source includes feature extraction and normalization, reducing the computational burden during the clustering phase and enabling scalable aggregation across large numbers of set top boxes.
Data Source
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AI summary
A computer-implemented method for clustering audio fingerprints from different set top boxes into groups based on their similarities is disclosed. The computer server receives audio fingerprints generated at different set top boxes and partitions them into multiple groups such that audio fingerprints within a group correspond to a respective TV program being played at the respective set top boxes. Upon receipt of an audio fingerprint from a set top box, the computer server identifies a group of audio fingerprints that are substantially similar to the audio fingerprint, determines TV program information for the audio fingerprint in accordance with the channel metadata associated with the identified group of audio fingerprints, and returns the TV program information to the requesting set top box.