Continuous Media Segment Identification Using LPC Coefficient Streams

Solution Overview

Problem

Existing automated content recognition systems struggle to accurately identify media segments on television devices due to alterations caused by set-top boxes and interference, particularly when graphics overlay or video is distorted, and audio identification systems are not designed for continuous and large-scale operations.

Innovation Solution

A system that transforms audio and video into continuous coefficient streams, allowing seamless switching between audio and video identification, using Linear Predictive Coding (LPC) to generate coefficients with high entropy and repeatability, enabling efficient and accurate identification of media segments within seconds.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If automated content recognition systems process continuous media data to identify media segments, then identification accuracy is improved, but data processing complexity and computational resources increase significantly

Engineering Contradiction:

Improvemedia segment identification accuracyVSAvoiddata processing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the essential identifying features from continuous media data by transforming audio and video into coefficient streams through mathematical transformations. This extraction process isolates the key characteristics needed for identification while discarding redundant information, thereby maintaining high identification accuracy while significantly reducing processing complexity and data volume.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system changes the parameter representation of media data by converting raw audio/video signals into transformed coefficient domains. This parameter transformation enables the system to work with compressed representations that retain identification capability while requiring far less computational processing, thus resolving the contradiction between accuracy and complexity.

Inventive Principle:

Principle #35Parameter changes

2Adaptability or versatility

If the system processes and stores large quantities of media data for continuous identification, then identification coverage is improved, but data storage and communication requirements increase

Engineering Contradiction:

Improveidentification coverageVSAvoiddata storage requirements

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential identifying features from continuous media data by transforming audio and video into coefficient streams through mathematical transformations. This extraction process isolates the key characteristics needed for identification while discarding redundant information, thereby maintaining high identification accuracy while significantly reducing processing complexity and data volume.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system segments continuous media into discrete coefficient frames that can be processed and stored independently. This segmentation allows the system to handle large-scale data through manageable units, reducing overall storage requirements while maintaining comprehensive identification coverage across the entire media stream.

Inventive Principle:

Principle #1Segmentation

3Productivity

If the system operates continuously on multiple devices, then identification capability is improved, but processing overhead and resource consumption increase

Engineering Contradiction:

Improveidentification capabilityVSAvoidprocessing overhead

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent extracts only the essential identifying features from continuous media data by transforming audio and video into coefficient streams through mathematical transformations. This extraction process isolates the key characteristics needed for identification while discarding redundant information, thereby maintaining high identification accuracy while significantly reducing processing complexity and data volume.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system processes media data in periodic coefficient frames rather than continuously analyzing every data point. This periodic processing approach enables the system to operate efficiently across multiple devices by updating identification at appropriate intervals, maintaining high productivity while reducing instantaneous processing overhead and energy consumption.

Inventive Principle:

Principle #19Periodic action

Data Source

PatentUS20260052283A1System and method for continuous media segment identification

Publication Date: 2026.02.19 INSCAPE DATA INC

AI summary

This invention provides a means to identify unknown media programming using the audio component of said programming. The invention extracts audio information from the media received by consumer electronic devices such as smart TVs and TV set-top boxes then conveys said information to a remote server means which will in turn identify said audio information of unknown identity by way of testing against a database of known audio segment information. The system identifies unknown media programming in real-time such that time-sensitive services may be offered such as interactive television applications providing contextually related information or television advertisement substitution. Other uses include tracking media consumption among many other services.