Multi-Level Media Signature Analysis for Content Monitoring
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Solution Overview
Problem
Content delivery systems face challenges in efficiently identifying and managing protected content, such as copyrighted or prohibited media, due to the exponential growth of user-uploaded content, which traditional methods find economically unviable and resource-intensive.
Innovation Solution
A content delivery system that generates and compares media file signatures to identify protected content, using a multi-level signature analysis process to minimize resource usage and automate the identification of protected content, thereby reducing the need for human intervention and optimizing processing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional audio/video content detection techniques are applied to monitor user activity, then protected content can be identified, but the system becomes economically unviable due to high cost and complexity
Solution Approach 1:
The patent divides content identification into multiple levels: first-level signature analysis using lightweight algorithms for initial filtering, and second-level analysis using more sophisticated techniques only for suspicious content. This segmentation reduces overall system complexity while maintaining identification reliability.
Solution Approach 2:
The system applies full-content analysis only partially - specifically, intensive second-level signature analysis is performed only on content that fails the first-level filter, rather than applying it to all user-generated content. This partial application maintains reliability for protected content detection while reducing complexity and resource consumption.
2Measurement precision
If process-intensive approaches requiring in-depth content analysis are implemented, then protected content detection accuracy improves, but processing time and resource consumption increase significantly
Solution Approach 1:
The analysis process is segmented into two stages: a rapid first-level signature generation and comparison phase that quickly filters out clear non-matches, followed by a more time-consuming second-level analysis only for content that requires deeper inspection. This segmentation maintains detection accuracy while minimizing average processing time.
Solution Approach 2:
The system performs preliminary first-level signature analysis on all content before applying the more resource-intensive second-level analysis. This preliminary action pre-filters the content set, ensuring that time-consuming deep analysis is applied only when necessary, thus reducing overall processing time while maintaining accuracy.
3Reliability
If massive amounts of signature data are transmitted for content analysis, then detection capability improves, but network bandwidth consumption and system cost increase
Solution Approach 1:
The signature data transmission is segmented into two levels: compact first-level signatures are transmitted and processed for all content, with larger second-level signature data transmitted only for content that requires deeper analysis. This segmentation reduces overall data transmission volume while maintaining detection capability.
Solution Approach 2:
The system extracts and transmits only the essential first-level signature characteristics needed for initial filtering, rather than transmitting complete content data or exhaustive signature sets. This extraction approach maintains detection capability while minimizing data transmission requirements.
4Measurement precision
If manual review processes are used to verify protected content, then false positives are reduced, but the need for human involvement increases operational cost and time
Solution Approach 1:
The verification process is segmented into automated first-level and second-level signature analyses that handle the majority of content, with manual review reserved only for cases where automated analysis is inconclusive. This segmentation reduces false positives through multiple automated filtering stages while minimizing human involvement to only necessary cases.
Data Source
AI summary
A method for processing media files includes receiving a request to download a first media file and, in response to receiving the request, generating a first signature that describes a first characteristic of the first media file. The method also includes determining whether the first signature matches any of a first plurality of stored signatures. The method also includes generating a second signature that describes a second characteristic of the first media file in response to determining that the first signature matches one of the first plurality of stored signatures. Additionally the method includes determining whether the second signature matches any of a second plurality of stored signatures and, in response to determining that the second signature matches one or more of the second plurality of stored signatures, denying the request to download the first media file.