Fingerprint Layouts for Content Identification
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Solution Overview
Problem
Traditional TV advertising lacks targeted and personalized advertisements for different viewers due to interference from onscreen displays during automatic content recognition (ACR) systems, which hinder accurate identification of media content.
Innovation Solution
The implementation of a system that generates fingerprints using different frame formats to exclude onscreen display elements, allowing ACR systems to compare and match media content fingerprints effectively, thereby avoiding false positives and missing matches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ACR systems use full frame fingerprints including onscreen displays, then comprehensive content coverage is achieved, but false positives and missing matches increase due to interference from onscreen display elements
Solution Approach 1:
The patent divides the video frame into multiple fingerprint regions, excluding onscreen display areas from fingerprint extraction. This segmentation allows the system to focus only on relevant content areas, improving matching accuracy by preventing onscreen displays from interfering with content identification while maintaining comprehensive coverage of actual media content.
Solution Approach 2:
The patent extracts and removes onscreen display elements from the fingerprint generation process by identifying and excluding specific frame regions where onscreen displays typically appear. This extraction principle ensures that only pure media content is fingerprinted, eliminating false positives caused by overlay elements while preserving reliable content matching.
2Reliability
If fingerprint regions are restricted to exclude onscreen displays, then false positives are reduced, but information loss may occur from excluding potentially relevant content areas
Solution Approach 1:
By segmenting the frame into fingerprint-extraction regions and onscreen-display exclusion zones, the system strategically captures only the most informative content areas. This segmentation approach minimizes information loss by focusing on regions that contain essential media content while automatically excluding areas dedicated to overlays, ensuring that excluded regions do not contain critical information.
Data Source
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AI summary
A method is disclosed for identifying the media content. The method includes receiving fingerprint media content from a content provider to obtain a first set of fingerprints, the first set of fingerprints including a first subset of fingerprints in a first fingerprint layout and a second subset of fingerprints in a second fingerprint layout. The method can include receiving a second set of fingerprints, the second set of fingerprints including a third subset of fingerprints in the first fingerprint layout and a fourth subset of fingerprints in the second fingerprint layout. The method can include matching a first fingerprint in the first subset of fingerprints to a second fingerprint in the third subset of fingerprints or a third fingerprint in the second subset of fingerprints to a fourth fingerprint in the fourth subset of fingerprints in order to identify the media content.