Video Content Identification via Fingerprint Extraction

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Solution Overview

Problem

The challenge lies in efficiently and automatically identifying motion video content without requiring full resolution digitized video data, while minimizing storage capacity and data transfer bandwidth, and facilitating easy search and archiving with minimal human interaction.

Innovation Solution

A method for identifying motion video/audio content by extracting fingerprints from video content, comparing them using a sliding window approach within a fingerprint database, and matching sub-sampled video frames to determine visual identity, allowing for efficient archiving and search without extensive storage or hardware costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If full resolution digitized video content data is used for identification, then identification accuracy is improved, but storage capacity and data transfer bandwidth requirements increase significantly

Engineering Contradiction:

Improveidentification accuracyVSAvoidstorage capacity

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential visual features from video content to create compact fingerprints. Instead of storing or transmitting full-resolution video data, the system extracts key visual characteristics that uniquely identify video segments, dramatically reducing storage capacity requirements while maintaining identification accuracy.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates simplified copies of video content in the form of fingerprints. These fingerprint representations are compact data structures that replicate the essential identifying characteristics of video content without requiring the full original data, enabling efficient storage and comparison.

Inventive Principle:

Principle #26Copying

2Measurement precision

If full resolution video content is processed for identification, then identification accuracy is improved, but computational complexity and processing time increase

Engineering Contradiction:

Improveidentification accuracyVSAvoidcomputational complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent divides video content into manageable segments and processes each segment independently to generate fingerprints. This segmentation approach reduces computational complexity by breaking down large-scale processing into smaller, more efficient operations while maintaining overall identification accuracy.

Inventive Principle:

Principle #1Segmentation

3Measurement precision

If video content identification is performed manually through visual inspection, then identification accuracy is improved, but time consumption and cost increase significantly

Engineering Contradiction:

Improveidentification accuracyVSAvoidtime consumption

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual visual inspection with automated computational processing. The system uses algorithmic fingerprint extraction and comparison to identify video content, substituting human visual analysis with machine-based automated recognition that operates faster and at lower cost while maintaining high accuracy.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent transforms video content into a different parameter representation (fingerprints) that enables automated comparison. By changing from visual inspection of raw video data to computational comparison of extracted feature parameters, the system achieves both speed and accuracy improvements.

Inventive Principle:

Principle #35Parameter changes

4Quantity of substance

If minimal storage capacity is used for video archiving, then storage efficiency is improved, but identification and search capability deteriorate

Engineering Contradiction:

Improvestorage capacityVSAvoidsearch capability

Core Design Contradiction:

Quantity of substanceVSDifficulty of detecting and measuring

Solution Approach 1:

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces fingerprints as an intermediary representation between the original video content and the identification/search process. These fingerprints serve as compact proxies that enable efficient storage and rapid search while preserving the essential identifying characteristics needed for accurate content recognition.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS8027565B2Method for identifying motion video/audio content

Publication Date: 2011.09.27 ZTE CORP

AI summary

A method for identifying motion video/audio content, by means of comparing a video A to a registered video B so as to determine if they are originally the same as each other, wherein said method at least comprises the steps of extracting a fingerprint A from the video A; and searching from a fingerprint database for a pre-extracted and registered fingerprint B of the video B by means of comparison of fingerprint A with a sliding window of a possible fingerprint B, so as to determine that the video A is visually identical to the video B if a match is found. According to the present invention, the method for extracting a fingerprint data from video/audio signals facilitates the automatic identification, archiving and search of video content, and can be of without the need for human visual inspections.