Graph Database Media Content Evaluation System

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Solution Overview

Problem

The creative development of video media content lacks a structured and quantitative process for objectively evaluating or comparing different works to predict commercial success, relying on subjective instinct-driven decisions.

Innovation Solution

Graph-based media content evaluation systems and methods that identify relevant metrics, search a graph database for media content data, and generate reports to objectively analyze and compare media content, enhancing the creative development process and improving commercial success identification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If subjective instinct-driven decisions are used for creative development, then the process is simple and quick, but the evaluation lacks objectivity and quantitative basis

Engineering Contradiction:

Improveevaluation objectivityVSAvoidevaluation system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces subjective human instinct-driven evaluation with an automated computational system that uses graph databases and algorithms to objectively analyze media content. The system substitutes human judgment with machine-based quantitative measurement, achieving precise evaluation of narrative structure, character development, and other creative elements without relying on subjective intuition.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a graph database as an intermediary layer between raw media content and evaluation results. This intermediary structure organizes and stores structured data about narrative elements, characters, and plot relationships, enabling systematic quantitative analysis while maintaining evaluation objectivity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If structured and quantitative evaluation processes are implemented, then evaluation accuracy and commercial success prediction improve, but the process complexity increases

Engineering Contradiction:

Improvecommercial success prediction accuracyVSAvoidevaluation process complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the complex evaluation process into distinct modular components: data extraction from media content, graph database construction with specific node and edge types, metric calculation modules for different narrative aspects, and prediction algorithms. This segmentation allows the system to handle complexity through organized, manageable modules while maintaining high prediction accuracy.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transforms qualitative creative elements into quantitative parameters that can be measured and analyzed. By converting narrative structure, character arcs, and plot development into measurable graph metrics, the system achieves reliable commercial success prediction through parameter-based analysis rather than subjective assessment.

Inventive Principle:

Principle #35Parameter changes

3Loss of information

If comprehensive media content data is collected and analyzed, then evaluation completeness improves, but data processing time and resource consumption increase

Engineering Contradiction:

Improveevaluation completenessVSAvoiddata processing time

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by pre-structuring media content data into graph database format during content creation or initial processing. Narrative elements, characters, and relationships are organized into the graph structure in advance, so that when evaluation is needed, the system can quickly query and analyze the pre-organized data without extensive processing time.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent creates a structured graph database copy or representation of the original media content. This copied structured form preserves all essential narrative information while enabling efficient computational analysis. The system works with this structured representation rather than repeatedly processing the original unstructured content, reducing processing time while maintaining evaluation completeness.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS11550840B2Method and system for generating a visual representation of media content for performing graph-based media content evaluation

Publication Date: 2023.01.10 DISNEY ENTERPRISES INC

AI summary

According to one implementation, a system for performing graph-based media content evaluation includes a computing platform having a hardware processor, and a system memory storing a media content evaluation software code and a graph database. The hardware processor is configured to execute the media content evaluation software code to receive a query from a system user, and to identify one or more media content evaluation metrics corresponding to the query. In addition, the hardware processor is configured to execute the media content evaluation software code to search the graph database for a media content data relevant to the one or more media content evaluation metrics, and to retrieve the media content data from the graph database. The hardware processor is further configured to execute the media content evaluation software code to generate a report responsive to the query using the media content data.