Video Fingerprint Extraction for Automated Content Identification
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Solution Overview
Problem
The challenge lies in efficiently identifying and organizing motion video content due to its large data size, difficulty in automated recognition, and the need for minimal storage and low hardware costs, especially in applications like video surveillance and content monitoring.
Innovation Solution
A system that extracts and compares fingerprint data from video content using a fingerprint extractor, database, and matcher to determine video identity, allowing for automatic identification and archiving without requiring extensive storage or human interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full resolution digitized video content data is stored and processed, then identification accuracy is improved, but storage capacity requirements increase significantly
Solution Approach 1:
The patent extracts essential visual features from video content to create compact fingerprints. Instead of storing and processing full resolution video data, the system extracts key visual elements (edges, corners, textures) and represents them as condensed fingerprint codes, achieving accurate identification with minimal storage requirements
Solution Approach 2:
The patent creates simplified copies of video content in the form of fingerprints. These fingerprint representations capture the essential identity characteristics of video segments while occupying minimal storage space, enabling efficient comparison and identification without requiring the original large-scale video data
2Productivity
If automated video content identification systems are implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent divides video content identification into distinct processing stages: fingerprint extraction from video segments, fingerprint database construction, and fingerprint matching. This segmentation allows each module to be optimized independently, improving overall identification speed while managing system complexity through modular design
Solution Approach 2:
The patent introduces fingerprint data as an intermediary representation between raw video content and identification results. This intermediary layer simplifies the comparison process by transforming complex video data into compact, comparable codes, reducing computational complexity while maintaining identification accuracy
3Quantity of substance
If video content is archived with minimal storage capacity, then loss of substance is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent applies local quality by focusing computational and storage resources on the most discriminative visual features of video content. Instead of uniformly processing all video data, the system identifies and emphasizes key local features (distinctive visual patterns, transitions, objects) that provide the most information for accurate identification, achieving high precision with minimal storage
Data Source
AI summary
A system 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 system at least comprises a fingerprint extractor A for fingerprint A from the video A; a fingerprint database for the registered video B; and a matcher which is adapted to search from the fingerprint database for the registered fingerprint B of the video B by means of comparison of fingerprint A with a shifting 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 archiving without the need for human visual inspections.