Video Content Signature Generation Using Wavelet Transforms
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Video sharing platforms face challenges in identifying and monitoring inappropriate or copyright-protected video content, leading to a need for an effective method to detect and prevent the upload and transmission of such content.
Innovation Solution
A system and method that generates content signatures using wavelet transforms and compares them to prohibited content signatures, integrated with metadata analysis to determine if video content is inappropriate or copyright-protected, with modules to block transmissions and manage user access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video content is monitored and analyzed to identify prohibited content, then content quality and copyright compliance are improved, but system complexity and processing time increase
Solution Approach 1:
The system generates content signatures and stores them in a database before actual video content is uploaded. When video content is submitted, the pre-generated signatures are used for rapid comparison and identification of prohibited content, eliminating the need for complex real-time analysis of the entire video stream.
Solution Approach 2:
The patent extracts key identifying features from video content to create compact content signatures. These signatures capture the essential characteristics of videos (such as metadata, audio fingerprints, or visual features) while reducing the data volume significantly, allowing efficient storage and comparison without analyzing entire video files.
2Measurement precision
If content signatures are generated and compared for all uploaded video content, then prohibited content detection accuracy is improved, but processing speed and computational resources deteriorate
Solution Approach 1:
Instead of analyzing original video content directly, the system creates simplified copies in the form of content signatures. These signatures are compact representations that can be rapidly generated and compared, maintaining detection accuracy while dramatically reducing computational requirements and processing time.
Solution Approach 2:
The patent transforms video content from its original complex form into a different parameter space through signature generation. By changing the representation parameters (from full video data to condensed signature features), the system enables fast comparison operations while preserving the ability to accurately identify prohibited content.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Effectively identifies and prevents the upload and transmission of prohibited video content, ensuring compliance with copyright laws and maintaining platform integrity by using content signatures and metadata analysis.
Implementation Method 1
A system and method that generates content signatures using wavelet transforms and compares them to prohibited content signatures
Data Source
AI summary
A method of identifying target video content is provided. The method includes accessing content metadata of a video content item at a content storage. The method also includes determining at least one content signature based on the video content item and determining whether the video content item includes target content based at least partially on the content signature and the content metadata.