Context-Aware Audio Muting and Program Blocking

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Solution Overview

Problem

Current V-Chip technology only allows for categorical blocking of television programs based on ratings, failing to provide granular control, such as blocking specific programs or muting context-specific words, which can be offensive in certain contexts but not others.

Innovation Solution

A method for blocking or muting television programs based on customizable criteria, including program-specific information, ratings, and context-specific words, allowing users to block or mute programs containing objectionable words by analyzing their usage in different contexts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If V-Chip technology is used for program blocking, then categorical blocking based on ratings is achieved, but granular control over specific programs or context-specific words is lost

Engineering Contradiction:
Improvecontrol precisionVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the program content control into multiple independent filtering layers: rating-based blocking, program-specific blocking, and word-level filtering. This allows granular control over different aspects of content without requiring a completely new system, thus improving adaptability while managing complexity through modular architecture.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system integrates multiple control functions into a single unified platform that can perform rating-based blocking, program-specific blocking, and context-aware word filtering. This multi-functional approach improves versatility without proportionally increasing complexity, as the same infrastructure supports multiple control granularities.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Object-affected harmful factors

If all programs with TV-14 rating are blocked, then sexually charged content is filtered, but other acceptable TV-14 programs are also blocked

Engineering Contradiction:
Improveoffensive content filteringVSAvoidselective control
Core Design Contradiction:
Object-affected harmful factorsVSAdaptability or versatility

Solution Approach 1:

The patent applies local quality filtering by allowing different blocking rules for different programs. Instead of uniform blocking for all TV-14 content, the system can identify specific programs (like Coupling) that contain objectionable content and block only those, while allowing other TV-14 programs to pass through. This is achieved by analyzing program metadata and content characteristics to apply selective filtering.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system dynamically adjusts blocking criteria based on program identification. When a specific program is detected (through metadata matching), the blocking rule is activated; when a different program is detected, the rule is deactivated. This dynamic behavior allows the system to transition between blocking and allowing states based on real-time program identification, providing selective control.

Inventive Principle:
Principle #15Dynamics

3Object-affected harmful factors

If words are blocked without context analysis, then objectionable words are filtered, but contextually acceptable uses of words are also blocked

Engineering Contradiction:
Improveoffensive word filteringVSAvoidcontextual accuracy
Core Design Contradiction:
Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The system performs preliminary analysis of program metadata, episode descriptions, and content characteristics before applying word filtering. By pre-characterizing programs and their content themes, the system can make more accurate determinations about whether a word should be blocked, improving contextual accuracy before the actual filtering occurs.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from program metadata and content analysis to adjust word filtering decisions. When a program is identified as having specific content characteristics (e.g., children's programming, educational content), the system modifies its word blocking behavior accordingly. This feedback loop allows the system to learn from program context and make more precise filtering decisions.

Inventive Principle:
Principle #23Feedback

4Measurement precision

If context analysis is performed to determine word usage, then filtering accuracy is improved, but processing time and computational resources increase

Engineering Contradiction:
Improvefiltering accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of program metadata, episode descriptions, and content characteristics before applying word filtering. By pre-characterizing programs and their content themes, the system can make more accurate determinations about whether a word should be blocked, improving contextual accuracy before the actual filtering occurs.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system applies partial context analysis rather than complete context analysis for all words. Instead of analyzing every word in every program, the system focuses context analysis on specific words that appear in objectionable content lists, and only performs deep contextual analysis when necessary. This partial action approach maintains reasonable filtering accuracy while significantly reducing processing time.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS8935717B2Apparatus and method for blocking audio/visual programming and for muting audio
Publication Date: 2015.01.13 CLEARPLAY INC
  • US8935717B2 patent drawing
  • US8935717B2 patent drawing
  • US8935717B2 patent drawing

AI summary

A program blocking application that blocks programming for one or more possible users, based on various criteria associated with the program. A program word muting application that selectively mutes context specific words as a function of program specific criteria.