Video Content Matching Using Digital Profiles and Frame-Pixel Alignment

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Solution Overview

Problem

Conventional methods for identifying time-sensitive video content in longer video broadcasts or streams are inefficient and costly, particularly in policing ad placement, leading to potential misplacement and loss of ad effectiveness.

Innovation Solution

A video content matching system that utilizes digital profiles, such as acoustic fingerprints or audio spectrographs, to quickly identify candidate video segments within longer content by frame and pixel alignment, enabling automated detection and classification of matching segments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual editing is used to police ad placement, then accuracy and reliability are improved, but time consumption and cost increase significantly

Engineering Contradiction:
Improvead placement accuracyVSAvoidtime consumption
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical editing processes with an automated computer-based system that uses digital profiles and acoustic fingerprints to detect ad placements. The system automatically compares audio tracks, identifies matching segments, and flags potential ad placements, eliminating the need for human editors to manually review each segment while maintaining high accuracy through automated pattern recognition and comparison algorithms.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates digital copies of audio tracks and video segments as detectable profiles. By generating acoustic fingerprints and digital signatures of ad placements, the system can rapidly search through large volumes of content without manually reviewing each original segment. These digital copies enable fast comparison and identification while reducing the time required to police ad placement across extensive broadcast libraries.

Inventive Principle:
Principle #26Copying

2Loss of time

If conventional automated search techniques are used, then time consumption is reduced, but measurement precision and detection accuracy deteriorate

Engineering Contradiction:
Improvesearch timeVSAvoidcontent matching accuracy
Core Design Contradiction:
Loss of timeVSMeasurement precision

Solution Approach 1:

The patent segments the audio and video content into smaller detectable units called digital profiles and acoustic fingerprints. Each ad placement is converted into a unique digital signature that can be rapidly searched for within larger content libraries. This segmentation enables fast automated searching while maintaining precision by creating detailed, high-resolution fingerprints that capture distinctive acoustic characteristics of each ad segment.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transforms audio and video parameters into digital profile representations, changing the form of the data from raw media to processed digital signatures. By converting audio tracks into acoustic fingerprints and video segments into detectable profiles, the system achieves both rapid search capability and high matching precision through sophisticated parameter transformation and comparison algorithms that accurately identify even subtle variations in content.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS12374112B2Fast video content matching
Publication Date: 2025.07.29 DISNEY ENTERPRISES INC
  • US12374112B2 patent drawing
  • US12374112B2 patent drawing
  • US12374112B2 patent drawing

AI summary

A video content matching system includes a computing platform having a hardware processor and a memory storing a software code. When executed, the software code obtains a reference digital profile of a reference video segment, obtains a target digital profile of target video content, and compares the reference and target digital profiles to detect a candidate video segment of the target video content for matching to the reference video segment. The software code also frame aligns reference video frames of the reference video segment with corresponding candidate video frames of the candidate video segment to provide frame aligned video frame pairs, pixel aligns the frame aligned video frame pairs to produce frame and pixel aligned video frame pairs, and identifies, using the frame and pixel aligned video frame pairs, the candidate video segment as a matching video segment or a non-matching video segment for the reference video segment.