Video Fingerprint Extraction System for Automated Archiving
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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 human visual inspection, and the need for automated, low-cost, and low-storage solutions for archiving and searching, especially without access to full-resolution digitized video content.
Innovation Solution
A system for extracting fingerprint data from video/audio signals using a frame buffer, sub-sampler, divider, formatter, and transfer buffer to create a fingerprint database, allowing for efficient identification and archiving of video content by discarding video image content and retaining only fingerprint data, which can be used to match similar content across different streams.
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 fingerprint data, separating the critical identification information from the full-resolution video data. This extraction process retrieves only the necessary characteristics (edges, corners, lines, shapes) needed for identification, eliminating the need to store and process complete video files while maintaining identification accuracy.
Solution Approach 2:
The patent creates a simplified copy of video content in the form of fingerprint data that captures the essential visual characteristics. Instead of working with the original full-resolution video, the system uses these fingerprint copies for storage, comparison, and identification operations, significantly reducing storage requirements while preserving the ability to accurately identify video content.
2Measurement precision
If human visual inspection is used to identify video content, then identification accuracy is improved, but time consumption and cost increase
Solution Approach 1:
The patent replaces the mechanical process of human visual inspection with an automated computer-based fingerprint matching system. The system automatically extracts visual features, generates fingerprints, and compares them using computational algorithms, eliminating the need for manual viewing and analysis of video content while maintaining high identification accuracy.
Solution Approach 2:
The patent performs preliminary extraction of visual features and generation of fingerprint data before the identification process begins. By pre-processing the video content to create compact fingerprint representations, the system prepares the data in advance for rapid comparison and matching operations, eliminating the need for time-consuming real-time human inspection.
3Quantity of substance
If fingerprint data extraction is implemented, then storage capacity is reduced, but system complexity increases
Solution Approach 1:
The patent divides the video content analysis into distinct functional modules: feature extraction, fingerprint generation, and matching comparison. Each module handles a specific aspect of the identification process, making the overall system more manageable and easier to implement despite the reduction in storage requirements. This segmentation allows for independent optimization and maintenance of each component.
Data Source
AI summary
A system for extracting a fingerprint data from video/audio signals, comprising a frame buffer for storing the video frame images, which accepts a new video frame image and discards the oldest video frame image in a first in first out (FIFO) fashion; a sub-sampler for sampling the video images, which operates on one video frame image at a time, so that the output of the sub-sampler contains data samples obtained from multiple video frame images while the video image content itself is discarded, and after each video frame image is sampled at the head of the frame buffer, it is discarded after the sampling; a divider through which the data samples go, in order to divide the data samples into groups of video frames so as to be organized as one fingerprint segment after another one; a formatter which incorporates optional information to the fingerprint segment so as to form the fingerprint data, and at the output of the formatter, the video image content is discarded, only the fingerprint data and the associated optional information remain; and a transfer buffer which transfers the fingerprint data and the associated optional information by to the fingerprint database. According to the present invention, the system for extracting a fingerprint data from video/audio signals facilitates the automatic identification, archiving and search of video content without the need for human visual inspections.