Media Content Compliance Checks Using Timing and Spatial Correlation
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Solution Overview
Problem
Traditional human content review processes for compliance with regulations are time-consuming, costly, prone to errors, and unsustainable, especially in the context of rapid content delivery methods like online streaming, where human review is inefficient and ineffective due to short turnaround times.
Innovation Solution
A computer-implemented content check system that partitions content into audio and frames portions, extracts and analyzes text from each, correlates timing and spatial information, and applies rules using large language models to ensure compliance with regulations, providing precise and timely content checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human review processes are used for content compliance checks, then accuracy and understanding of contextual nuances are improved, but processing speed and turnaround time deteriorate
Solution Approach 1:
The content review system segments video content into discrete components (audio tracks, video frames, subtitles) and processes each component separately through specialized analysis engines. This segmentation enables parallel processing of multiple content elements simultaneously, dramatically increasing throughput while maintaining comprehensive compliance checking across all components.
Solution Approach 2:
The system introduces an intermediary timing correlation layer that synchronizes and correlates timing information across different content components (audio, video, subtitles). This intermediary mechanism ensures that compliance rules requiring temporal relationships between components are accurately evaluated, maintaining review quality while enabling automated high-speed processing.
2Productivity
If automated content review systems are implemented, then processing speed and consistency are improved, but ability to understand contextual nuances and complex compliance rules deteriorates
Solution Approach 1:
The system transforms compliance rules into parameterized temporal and spatial constraints that can be mathematically evaluated. By converting qualitative compliance requirements into quantitative parameters (timing relationships, spatial positions, duration thresholds), the system enables automated engines to accurately interpret and enforce complex compliance rules with high consistency.
Solution Approach 2:
The timing correlation mechanism serves as an intermediary that bridges automated component analysis and compliance rule evaluation. It correlates timing information from different content components and presents it in a format that enables accurate application of temporal compliance rules, ensuring reliable interpretation of complex regulatory requirements.
3Reliability
If comprehensive content analysis is performed on all components, then compliance detection capability is improved, but processing time and computational resources worsen
Solution Approach 1:
The system divides comprehensive content analysis into separate parallel processing streams for different content components (audio analysis, video frame analysis, subtitle analysis). Each stream independently extracts relevant features and timing information, enabling thorough compliance checking across all components without sequential processing delays.
Solution Approach 2:
The system performs preliminary extraction of timing information and spatial coordinates from each content component during the initial analysis phase. By pre-processing and storing this metadata before compliance rule evaluation, the system avoids redundant computations during the compliance checking phase, significantly reducing overall processing time while maintaining comprehensive analysis capability.
4Measurement precision
If timing correlation between audio and video components is implemented, then temporal compliance rule verification is improved, but system complexity worsens
Solution Approach 1:
The system introduces a timing correlation intermediary layer that receives timing information from audio and video analysis engines, correlates the timing data according to established temporal relationships, and outputs correlated results for compliance evaluation. This intermediary approach manages temporal synchronization complexity in a modular fashion without requiring fundamental changes to the core analysis engines.
Solution Approach 2:
The system extracts timing information as a separate metadata component from audio and video content during the initial analysis phase. By taking out timing data as a distinct element that can be independently processed and correlated, the system simplifies the overall architecture while maintaining precise temporal relationship verification capability across multiple content components.
Data Source
AI summary
A computer-implemented method is disclosed that comprises receiving a content item and analyzing an audio portion and a frames portion of the content item separately. The analyzing comprises extracting first text from the audio portion, determining first timing information associated with the first text in metadata, extracting second text from the frames portion, and determining second timing information and spatial information associated with the second text. The method further comprises determining, based on the first and second text, one or more categories of the content item, applying one or more rules that are based on the one or more categories to determine whether at least one of the first text, the first timing information, the second text, the second timing information, or the spatial information satisfy the one or more rules, and outputting an indication of whether there is an issue in at least a portion of the content item.