Enhanced Content Delivery Verification System
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Solution Overview
Problem
Content and data providers face inefficiencies and high costs in verifying the correct delivery and display of enhanced advertisements, as traditional methods are non-scalable and lack easy verification mechanisms for enhanced content distribution.
Innovation Solution
A data collection and analysis system that gathers and analyzes information about distributed content delivery, filtering content at different points in the network, converting RF signals to IP format for analysis, and generating reports on discrepancies in enhanced content delivery, using program association and program map tables to identify packet identifications and verify delivery times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional verification methods are used for enhanced content delivery, then the provider can maintain basic statistics, but the verification process becomes inefficient, non-scalable, and expensive
Solution Approach 1:
The patent introduces an intermediary verification system that sits between the content delivery network and the provider's statistics collection. This intermediary automatically captures and verifies delivery information using standardized protocols, eliminating the need for complex custom verification systems while maintaining accurate tracking of enhanced content delivery.
Solution Approach 2:
The system implements automated feedback loops where delivery confirmation data is continuously collected from the network, verified against expected outcomes, and fed back to update provider statistics in real-time. This automated feedback mechanism replaces manual verification processes and enables scalable tracking without proportionally increasing system complexity.
2Reliability
If enhanced content is distributed through the network, then new revenue opportunities are created, but the provider has no easy way to determine whether content was delivered correctly and completely
Solution Approach 1:
The verification system is designed to be self-service oriented, where the network infrastructure automatically generates and transmits delivery confirmation data without requiring manual intervention from providers. The system autonomously tracks content delivery, verifies integrity, and makes verification results easily accessible through standardized interfaces, thereby maintaining both high reliability and operational ease.
Solution Approach 2:
The patent replaces manual verification mechanisms with automated electronic verification systems that use digital signatures, checksums, and protocol-based confirmation. This substitution eliminates the need for labor-intensive manual verification while providing robust, reliable content delivery confirmation that is easily accessible to providers through automated reporting.
3Adaptability or versatility
If in-band distribution of enhanced advertisements is used, then advertising revenue opportunities increase, but traditional verification approaches become non-scalable
Solution Approach 1:
The verification system is designed with universal functionality that can handle multiple types of enhanced content (advertisements, interactive elements, data streams) through a single unified verification protocol. This multi-functional approach allows the system to scale efficiently across diverse content types without requiring separate verification mechanisms for each content category, thereby maintaining high productivity as content versatility increases.
Data Source
AI summary
A monitoring and analysis system is disclosed that gathers and analyzes information about distributed enhanced content delivery to end user or other equipment. The system may establish communications connections along the content delivery system, filter content received from different locations of the system, and compare the received content with an expected content characteristic. Also, a radio frequency signal from the distribution network may be converted into an Internet Protocol (IP) format by a converter so that the transformed signal may be similarly analyzed as other signals from the system. A report may be consequently generated that is indicative of the received enhanced content and any detected discrepancies with respect to expected enhancement events. Identification of the enhanced content may be based on the program association table and the program map table in order to determine the packet ID of the application signals.