Time-Labeled Hash Verification for Editable Media Integrity
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Solution Overview
Problem
In digital media production, large data files with high error rates accumulate errors due to repeated storage and editing, and existing error checking techniques are limited to complete files, failing to provide effective integrity verification across multiple stages of the production chain.
Innovation Solution
A method and system that generate and store hash codes for editable units of digital media essence, correlating them with time labels, allowing for efficient verification of content integrity by comparing recalculated hash codes upon retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If error checking techniques are applied only to complete files, then the system complexity is reduced, but the reliability of production systems deteriorates because errors accumulate during storage and editing operations
Solution Approach 1:
The patent divides the complete file into smaller editable units (segments) and applies error checking to each segment individually. This segmentation allows the system to detect errors at multiple stages of the production chain without requiring a complete file scan, thereby improving reliability while managing complexity through modular checking units.
Solution Approach 2:
The patent performs error checking in advance by storing hash codes of editable units before they are processed through editing operations. This preliminary action enables detection of errors that accumulate during storage and editing, allowing the system to maintain reliability by identifying corrupted data before it affects the final output.
2Measurement precision
If hash codes are stored for all editable units, then the measurement precision of data integrity is improved, but the storage requirements and device complexity increase
Solution Approach 1:
The patent applies error checking and stores hash codes selectively for specific editable units that require verification, rather than uniformly for all data. This local quality approach allows the system to maintain high measurement precision for critical segments while reducing overall storage requirements and system complexity by skipping unnecessary verification for stable portions of the data.
Solution Approach 2:
The patent introduces hash codes as intermediary data structures that mediate between the original editable units and the verification process. These hash codes serve as compact representations that enable precise integrity measurement without storing the complete data, thereby improving measurement precision while managing storage requirements through efficient intermediary structures.
3Productivity
If repeated editing operations are performed, then the productivity of the production system is improved, but the reliability deteriorates due to increased opportunities for inadvertent introduction of errors
Solution Approach 1:
The patent implements a feedback mechanism where hash codes of editable units are stored before editing operations and then compared after processing. This feedback loop enables the system to detect changes and errors introduced during editing operations, allowing the production system to maintain high productivity through repeated editing while preserving reliability by identifying and preventing error propagation.
Data Source
AI summary
A method and system are provided for efficiently verifying the integrity of file-based video audio and other essence in a content production system. The method involves creating a sequence of hash codes for the editable units of the essence, which are stored as metadata apart from the content (either in a separate file or in a separate portion of the same file), and are correlated to the content by a time label (which may be an offset or a timecode number). Upon retrieval from storage, the hash codes are generated for the retrieved essence and compared to the stored hash codes to verify that the content has not been modified.