Dynamic Media Content Identification Parameter Adjustment
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Solution Overview
Problem
The process of identifying copyrighted material in media content items uploaded to sharing platforms is time-consuming and resource-intensive, requiring substantial computing power and bandwidth, especially as the amount of user-generated content continues to grow.
Innovation Solution
Implementing dynamic throttling of media content item identification by adjusting the sampling frequency and match resolution based on the number of hits or matches between sampled portions and known works, as well as using external data to update testing recipes for each media content item.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic throttling is implemented by adjusting sampling frequency and match resolution based on hit numbers, then resource utilization and processing time are reduced, but identification accuracy may be compromised
Solution Approach 1:
The patent implements dynamic adjustment of sampling frequency and match resolution based on real-time hit numbers from preliminary matching. The system transitions from static to dynamic parameters, adapting the identification process to the specific characteristics of each media content item. When hit numbers exceed thresholds, the system intensifies matching; when below thresholds, it reduces sampling frequency, optimizing both speed and accuracy adaptively.
Solution Approach 2:
The system changes key parameters (sampling frequency, match resolution, interval between samples) based on hit numbers from initial matching. By dynamically adjusting these parameters according to preliminary results, the system resolves the contradiction between processing speed and identification accuracy, ensuring high accuracy when needed while maintaining speed when content is clearly unrelated.
2Measurement precision
If comprehensive analysis of all media content items is performed to ensure accurate identification, then identification accuracy is maintained, but resource consumption and processing time increase substantially
Solution Approach 1:
The patent applies partial action by performing comprehensive analysis only when necessary (when hit numbers exceed thresholds), rather than analyzing all media content items uniformly. The system performs preliminary matching on all items but conducts intensive analysis only on those showing potential matches, significantly reducing computational resource consumption while maintaining accuracy for relevant content.
Solution Approach 2:
The system uses the hit numbers from preliminary matching to automatically determine the extent of analysis required for each content item. This self-service mechanism allows the system to allocate computational resources efficiently based on the inherent characteristics of each item, performing thorough analysis only when the preliminary data suggests potential copyright issues.
3Reliability
If sampling frequency is increased to improve identification coverage, then more copyrighted works are detected, but processing time and computational load increase
Solution Approach 1:
The patent implements periodic action through multi-stage processing: preliminary matching at lower sampling frequency, followed by intensified periodic sampling only for items exceeding hit number thresholds. This approach ensures comprehensive detection for potential matches while maintaining efficient processing for the majority of content that does not require intensive analysis.
Solution Approach 2:
The system dynamically adjusts sampling frequency based on hit numbers from preliminary matching. For content items with low hit numbers, sampling frequency remains low to save time. For items with high hit numbers indicating potential matches, the system increases sampling frequency to ensure comprehensive detection, thus optimizing the balance between coverage and processing time.
4Measurement precision
If match resolution is increased to reduce false positives, then identification accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The patent applies partial action by using high match resolution only when necessary (when hit numbers indicate potential matches). For the majority of content with low hit numbers, the system uses lower resolution matching, significantly reducing computational complexity while maintaining high accuracy for content that actually requires detailed analysis.
Solution Approach 2:
The system dynamically changes match resolution parameters based on hit numbers from preliminary matching. This adaptive parameter adjustment resolves the contradiction between accuracy and complexity by applying computationally intensive high-resolution matching only to content items where it is genuinely needed, rather than uniformly across all content.
Data Source
AI summary
A system receives a media content item and analyzes the media content item to identify copyrighted material contained therein. Analyzing the media content item includes determining an initial interval for selecting segments of the media content item to be analyzed, generating a first digital fingerprint of a first segment of the media content item, comparing the first digital fingerprint to at least a first subset of a plurality of digital fingerprints of a first plurality of known works to determine whether the first digital fingerprint matches one of the plurality of digital fingerprints of the first plurality of known works, and determining an updated interval for selecting the segments of the media content item to be analyzed based on whether or not a match was found between the first digital fingerprint and one of the plurality of digital fingerprints of the first plurality of known works.