Multimedia Fingerprint Tracking for Ad Delivery Verification
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Solution Overview
Problem
Conventional mobile advertising campaigns face challenges in verifying the delivery of multimedia content to mobile devices and determining the perceptual quality of the content, which hinders the growth of the mobile advertising market and prevents revenue generation for associated entities.
Innovation Solution
A system and method that employs content identification techniques and objective perceptual quality measures to track multimedia content delivery and quality, using software agents on multimedia content providers and mobile devices to extract and compare multimedia fingerprints and quality measures, enabling the calculation of quality degradation and generation of tracking reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mobile advertising campaigns use traditional measurement methods (views, click-through rates), then advertising effectiveness can be measured, but delivery verification and perceptual quality determination are impossible
Solution Approach 1:
The patent introduces software agents as intermediary components deployed on both the content provider server and mobile devices. These agents act as mediators that automatically extract multimedia fingerprints from ad content, track delivery status, and measure perceptual quality without requiring direct human intervention or complex infrastructure changes. The software agents bridge the gap between content delivery and measurement, enabling comprehensive tracking while maintaining system simplicity.
Solution Approach 2:
The patent replaces traditional mechanical/manual advertising verification methods with automated electronic fingerprinting and quality measurement systems. Instead of relying on manual tracking or basic analytics, the system uses automated extraction of multimedia fingerprints, digital signal processing for quality assessment, and algorithmic comparison of transmitted versus received content. This substitution enables precise delivery verification and perceptual quality measurement that were previously impossible with conventional approaches.
2Reliability
If no delivery verification system is implemented, then system complexity remains low, but advertisers cannot determine whether ad content was successfully delivered
Solution Approach 1:
The patent extracts only the essential identifying features of ad content in the form of multimedia fingerprints, rather than transmitting or processing the complete ad content. These fingerprints are compact digital representations that capture the unique characteristics of each ad. By extracting and comparing only these fingerprint signatures between transmitted and received content, the system achieves reliable delivery verification while maintaining low computational complexity and minimal bandwidth requirements.
Solution Approach 2:
The patent creates digital copies of ad content fingerprints at multiple points in the delivery chain. The content provider generates fingerprints of the original ad content, mobile devices extract fingerprints of received content, and these fingerprint copies are compared to verify delivery. This copying approach enables reliable verification without requiring the actual ad content to be transmitted back through the system, significantly reducing complexity and bandwidth usage while maintaining verification accuracy.
3Measurement precision
If perceptual quality measurement is not implemented, then processing requirements remain low, but advertisers have no way to determine the quality of delivered ad content
Solution Approach 1:
The patent implements perceptual quality measurement at selective points in the delivery chain rather than continuously throughout the entire system. Quality measurements are performed on representative samples of ad content at the content provider end and on received content at mobile devices, rather than measuring every single transmission instance. This partial measurement approach provides sufficient quality assurance data to advertisers while keeping processing energy consumption at manageable levels.
Solution Approach 2:
The patent enables mobile devices to autonomously perform perceptual quality measurements on received ad content using local processing resources. The software agents on mobile devices extract fingerprints and assess quality metrics without requiring continuous cloud-based analysis or expensive server-side processing for each measurement. This self-service approach distributes processing load, reducing overall system energy consumption while maintaining measurement precision through localized automated analysis.
Data Source
AI summary
Systems and methods of tracking multimedia content transmitted over at least one network to one or more mobile devices that may be employed to verify delivery of the multimedia content to the respective mobile devices, and to determine the perceptual quality (also referred to herein as “quality of experience” or “QoE”) of the multimedia content at the respective mobile devices. The systems and methods employ content identification techniques in conjunction with objective quality measures to allow mapping of the quality of experience or QoE to specific multimedia content, which may include audio content, imagery content, textual content, and/or video content.