Media Guidance Application Verifying Data Accuracy

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional media guidance systems often provide outdated or incorrect data, lacking effective means to verify the accuracy of media content displayed to users, leading to user dissatisfaction and navigation issues.

Innovation Solution

A media guidance application that extracts and compares excerpts of media assets with known content to verify their correspondence with provided media guidance data, using techniques like object recognition and database cross-referencing to ensure data accuracy and update incorrect information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If media guidance data is provided without verification mechanisms, then system complexity is reduced and ease of operation is improved, but data accuracy and reliability deteriorate

Engineering Contradiction:

Improvemedia guidance data accuracyVSAvoidverification system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The media guidance application performs self-verification by automatically extracting excerpts from media assets and comparing them against guidance data without requiring external intervention. The system monitors its own output and corrects discrepancies autonomously, improving reliability while containing complexity within the application itself rather than requiring separate verification systems.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements feedback loops where extracted media excerpts are continuously compared against guidance data, and any discrepancies trigger automatic updates to the guidance data. This closed-loop feedback mechanism ensures ongoing verification and correction of data accuracy without manual intervention, resolving the contradiction between reliability improvement and complexity increase.

Inventive Principle:

Principle #23Feedback

2Reliability

If continuous verification of media guidance data is implemented, then data accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:

Improvemedia guidance data accuracyVSAvoidverification processing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system extracts and stores media excerpts in advance during media asset processing, so that when guidance data needs verification, the excerpts are already available for immediate comparison. This preliminary extraction action eliminates the need for time-consuming real-time analysis during verification operations, reducing processing delays while maintaining continuous accuracy monitoring.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Instead of verifying every single data point continuously, the system performs partial verification by sampling key excerpts from media assets and comparing them against corresponding guidance data entries. This selective verification approach maintains sufficient accuracy for practical purposes while significantly reducing computational overhead and processing time compared to comprehensive continuous verification.

Inventive Principle:

Principle #16Partial or excessive action

3Duration of action of moving object

If media guidance data is updated frequently to reflect current content, then data freshness is improved, but data stability and consistency worsen

Engineering Contradiction:

Improvemedia guidance data freshnessVSAvoidguidance data consistency

Core Design Contradiction:

Duration of action of moving objectVSStability of the object's composition

Solution Approach 1:

The system performs preliminary extraction and storage of media excerpts during the media asset processing stage, before guidance data is finalised. This advance preparation allows the system to verify accuracy against the actual media content that will be displayed, enabling fresh and accurate guidance data to be generated without introducing instability through frequent updates, as the verification baseline is already established.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The feedback mechanism compares extracted excerpts against guidance data and automatically corrects discrepancies, creating a stabilizing effect. When media content changes, the system detects the discrepancy through excerpt comparison and updates guidance data accordingly, maintaining consistency between the guidance information and actual media content while preserving data freshness. The feedback loop ensures that updates are made only when necessary and only to the extent needed to reflect actual content changes.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11343563B2Methods and systems for verifying media guidance data

Publication Date: 2022.05.24 ROVI PRODUCT CORP

AI summary

Methods and systems are disclosed herein for verifying media guidance data. Specifically, a media guidance application may facilitate the extraction and transmission of an excerpt of a media asset that is associated with media guidance data such that the content of the excerpt may be compared to content known to be associated with the media guidance data.