Cue Sheet Metadata Extraction via Content Fingerprinting
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Solution Overview
Problem
Current automated methods for generating cue sheets from media projects in craft tools rely heavily on exact file names, which can lead to errors due to abbreviations or mismatched names, and require time-intensive organization of metadata, making the process inefficient and prone to mistakes.
Innovation Solution
A computer-implemented method that uses pattern recognition to analyze media content and generate metadata, creating a fingerprint of each media file, which is then compared to a database to identify and extract accurate metadata for cue sheet creation, independent of file names and other metadata formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated EDL-to-cue sheet software uses filenames to lookup metadata, then the process is automated, but accuracy deteriorates due to filename mismatches and abbreviations
Solution Approach 1:
The patent introduces content-based fingerprinting as an intermediary between the media file and the metadata database. Instead of directly matching filenames, the system extracts content representations (fingerprints) from the media and uses these as intermediaries to query the database, resolving the mismatch between abbreviated filenames and full metadata entries
Solution Approach 2:
The patent replaces the mechanical filename-matching system with a content-based recognition system. Instead of relying on text-based filename comparisons, the system uses content analysis and pattern recognition to identify media items, substituting the fragile filename-based approach with a more robust content-based approach
2Measurement precision
If editors manually organize metadata before EDL export, then accuracy improves, but time consumption increases significantly
Solution Approach 1:
The patent enables the system to automatically perform metadata extraction and organization without human intervention. The craft tool itself is enhanced to automatically extract content representations and metadata from media items, eliminating the need for editors to manually organize this information before EDL export
Solution Approach 2:
The patent performs content analysis and metadata extraction in advance, during the media import or project creation phase. By preparing content representations and associated metadata beforehand, the system eliminates the need for time-consuming post-processing organization steps
3Loss of information
If craft tools store detailed project information, then completeness of data improves, but complexity of data extraction increases
Solution Approach 1:
The patent extracts only the necessary content representations and metadata from the complex project data structure. Instead of handling all project information, the system selectively extracts content identifiers, timing data, and essential metadata, simplifying the extraction process while maintaining data completeness for cue sheet generation
Data Source
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AI summary
A computer implemented method and system provide for automatic selection and extraction of metadata and media content from projects in a computer-implemented tool for audio and/or visual editing. Automated identification, classification and management of such metadata and content is provided using techniques such as pattern recognition for audio and visual content. The automatic tracking and centralised storage of metadata and content for compliance purposes can be facilitated, and can enable querying of organised metadata stored in a central database. In an example, metadata and media content are extracted automatically from a project in a computer-implemented tool for audio and/or visual editing at a client system and are forwarded to a host system for the creation of a cue sheet including timings for media files from timing metadata in a project file to create the timings on the cue sheet.