Media Signature Sampling for Metadata Categorization
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Solution Overview
Problem
Current systems lack an efficient method to identify and manage relationships between different versions of media items, such as movies or songs, across various platforms without direct access to the original media, making it difficult to share and categorize metadata effectively.
Innovation Solution
A computer system that samples new media items to create signature samples, compares them against a database, identifies common segments, and determines contextual data similarity, allowing for the sharing and categorization of metadata across related media, even without direct access to the original media.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If media items are sampled and compared to identify relationships, then metadata sharing and categorization efficiency is improved, but system complexity increases due to signature generation and comparison mechanisms
Solution Approach 1:
The patent segments media items into signature samples (audio or video fingerprints) that can be independently compared. This segmentation allows efficient identification of common segments between media items without processing entire files, thereby improving metadata sharing efficiency while managing system complexity through modular comparison units
Solution Approach 2:
The patent creates signature copies (fingerprints) of media items that serve as simplified representations. These copies enable rapid comparison and relationship identification without requiring access to original media files, improving processing efficiency while reducing the complexity of direct media analysis
2Measurement precision
If contextual data similarity is determined across media items, then categorization accuracy is improved, but processing time increases due to comprehensive data comparison
Solution Approach 1:
The patent performs preliminary sampling and signature generation during media ingestion, preparing comparison-ready data in advance. This preliminary action enables faster subsequent categorization operations by having pre-processed signature data and contextual information readily available for comparison
Solution Approach 2:
The patent compares only essential contextual data elements (audio/video signatures, segment matches) rather than进行全面 analysis of all media attributes. This partial action approach achieves sufficient categorization accuracy while significantly reducing processing time by focusing on discriminative features
3Adaptability or versatility
If relationships between multiple media versions are identified, then metadata sharing capability is improved, but data management complexity increases due to version tracking
Solution Approach 1:
The patent creates a universal relationship identification system that handles multiple media versions (theatrical, TV cut, extended editions) through a single framework. The signature comparison mechanism universally identifies common segments across any media variants, enabling metadata sharing capability while managing version tracking complexity through a unified approach
Data Source
AI summary
Systems and methods for identifying and associating contextual metadata across related media.