Automated Closed-Caption Content Filtering in Video Signals

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Solution Overview

Problem

Current methods for removing offensive content from closed-caption data in video signals are labor-intensive, prone to errors, and often fail to remove all offensive material, especially in live broadcasts where there is a delay in audio processing.

Innovation Solution

A computer-implemented method that decodes and modifies closed-caption data packets in video frames to automatically remove or replace offensive content by comparing character strings against a blacklist and whitelist, allowing for real-time processing and integration into the video signal without human intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual QC operators review and remove offensive content from closed-caption data, then content compliance is improved, but labor intensity and processing time increase significantly

Engineering Contradiction:

Improvecontent complianceVSAvoidprocessing efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs automatic content filtering and removal without requiring human intervention. The closed-caption data is processed through automated algorithms that identify and remove offensive content, replacing it with compliance-safe alternatives, thereby eliminating the need for manual QC operator review while maintaining compliance standards.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the manual mechanical process of QC operators reviewing and editing closed-caption data with an automated electronic processing system. The system uses computer algorithms to decode video signals, extract closed-caption data, filter offensive content, and re-encode the cleaned data, substituting human labor with automated computational processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If manual processing of closed-caption data is used, then accuracy in removing offensive material is improved, but processing speed and real-time capability deteriorate

Engineering Contradiction:

Improveoffensive material detection accuracyVSAvoidprocessing speed

Core Design Contradiction:

Measurement precisionVSSpeed

Solution Approach 1:

The patent replaces manual review processes with automated electronic processing systems that can analyze closed-caption data at high speeds. The system decodes video signals, extracts and analyzes text content, identifies offensive material using automated filtering algorithms, and processes replacements all through electronic computation, achieving both accuracy and high processing speed simultaneously.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If closed-caption data is processed manually after program production, then content compliance is improved, but time for delivery close to air time becomes insufficient

Engineering Contradiction:

Improvecompliance assuranceVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs content filtering and compliance checks as part of the closed-caption data processing pipeline before the program is delivered for broadcast. By automating the compliance verification process, the system ensures that offensive content is removed in advance, allowing programs to be delivered close to air time without sacrificing compliance assurance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The automated system independently performs compliance verification and content filtering without requiring manual intervention, enabling rapid processing that accommodates tight delivery schedules while maintaining compliance standards.

Inventive Principle:

Principle #25Self-service

4Productivity

If automated filtering is implemented, then processing efficiency is improved, but potential errors in identifying offensive content may increase

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidcontent filtering accuracy

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent employs sophisticated automated filtering algorithms and computational methods to identify offensive content in closed-caption data. The system uses electronic processing to analyze text, recognize patterns, and distinguish offensive material from acceptable content, achieving high processing efficiency while maintaining reliability through advanced automated detection capabilities.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11356721B2Techniques for automatically removing content from closed-caption data embedded in a video signal

Publication Date: 2022.06.07 DISNEY ENTERPRISES INC

AI summary

Content is automatically removed from closed-caption data embedded in a video signal. A closed-caption compliance system decodes a first portion of a first video frame that includes a closed-caption data packet. The system extracts a first character string that includes at least a portion of the closed-caption data packet. The system determines whether the first character string is suitable for distribution to viewers. If the first character string is suitable for distribution to viewers, then the system encodes at least a first portion of the first character string as a second closed-caption data packet to include in a second video frame. Otherwise, the system modifies the first character string to generate a second character string that is suitable for distribution to viewers; and encodes at least a first portion of the second character string as a third closed-caption data packet to include in the second video frame.