Metadata Record Generation via Audio Fingerprinting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current automated systems for creating cue sheets from media projects in craft tools rely heavily on exact file names, which can lead to errors due to abbreviations or unknown names, and require time-consuming organization of metadata, making the process inefficient and prone to mistakes.
Innovation Solution
A data extraction module that uses pattern recognition to identify and extract metadata and media content from craft tools, generating fingerprints for comparison with a database to accurately create cue sheets, regardless of file names, and enables automated tracking and storage for compliance purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated EDL-to-cue sheet software uses file names to lookup metadata, then the process is automated, but accuracy deteriorates when file names differ from database names (abbreviations, unknown names)
Solution Approach 1:
The patent introduces an intermediary step between file name lookup and metadata matching. Instead of directly matching file names, the system extracts audio content from the media file, generates a fingerprint representation of that content, and uses the fingerprint as an intermediary key to search the database. This intermediary approach allows accurate matching even when file names differ from database names.
Solution Approach 2:
The patent replaces the mechanical string-matching system with a content-based fingerprinting system. Instead of relying on textual file name comparisons, the system uses audio content analysis to generate unique fingerprints that represent the actual media content, enabling more robust and accurate metadata matching.
2Reliability
If editors manually organize metadata before creating EDL files, then completeness of information is improved, but time consumption and error rate increase
Solution Approach 1:
The patent implements a self-service approach where the system automatically performs metadata extraction and organization without requiring manual editor intervention. The craft tool's internal metadata structures are automatically queried, and the necessary information is extracted and formatted for cue sheet generation, eliminating the time-consuming manual organization step while maintaining information completeness.
Solution Approach 2:
The system performs preliminary actions by automatically extracting and organizing metadata from the craft tool's project files before the actual cue sheet generation process. This preliminary automated organization ensures that all necessary information is prepared and structured correctly in advance, eliminating the need for subsequent manual organization efforts.
3Stability of the object's composition
If craft tools store metadata in proprietary formats, then data integrity within the tool is maintained, but interoperability and automated extraction become difficult
Solution Approach 1:
The patent introduces an intermediary translation layer that bridges the proprietary craft tool metadata format and the external cue sheet requirements. The system queries the craft tool's internal structures through defined interfaces, extracts the necessary information, and transforms it into the required output format, enabling interoperability while preserving the integrity of the original project data.
Data Source
AI summary
A computer implemented method and system provide for automatic selection and extraction of metadata and media content from projects in a craft tool. Automated identification, classification and management of such metadata and content is provided using including techniques such as pattern recognition for audio and visual content. The automatic tracking and centralized storage of metadata and content for compliance purposes can be facilitated, and can enable querying of organized metadata stored in a central database. In an example, metadata and media content are extracted automatically from a project in a craft tool 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.