Content Provenance Metadata Selection for Image Authenticity
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Solution Overview
Problem
Existing digital image processing systems that enable authenticity verification through hash values are vulnerable to falsification when unwanted metadata is deleted, leading to images being falsely identified as falsified.
Innovation Solution
An electronic apparatus generates provenance data by incorporating selected metadata items and a hash value, ensuring the integrity of the image content even when unwanted metadata is removed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a hash value is added to an image for authenticity verification, then the image can be verified for falsification, but the image contains unwanted metadata that needs to be deleted later
Solution Approach 1:
The patent segments the metadata into two categories: essential metadata (exif information such as拍摄日期、地点、设备) that is incorporated into provenance data, and unwanted metadata that can be safely deleted. This segmentation allows selective retention of necessary information while removing unnecessary data.
Solution Approach 2:
The patent performs preliminary action by generating provenance data that includes a hash value of the image content and essential metadata before any editing occurs. This pre-generated provenance data serves as a reference that remains valid even after unwanted metadata is deleted, preventing false falsification detection.
2Ease of operation
If unwanted metadata is deleted from an image, then the image can be cleaned, but the hash value changes and the image is treated as a falsified image
Solution Approach 1:
The patent extracts the essential information (image content hash and exif metadata) from the complete metadata set and incorporates it into separate provenance data. This extraction allows the unwanted metadata to be deleted while the essential verification information is preserved in the provenance data structure.
Solution Approach 2:
The patent introduces provenance data as an intermediary structure that contains the hash value and essential metadata. This intermediary protects the authenticity verification process from being affected by the deletion of unwanted metadata, as the provenance data serves as a stable reference that is independent of the image's embedded metadata.
3Loss of information
If all metadata is retained in an image, then complete information is preserved, but the image size increases and contains unnecessary data
Solution Approach 1:
The patent extracts only the necessary exif metadata (such as拍摄日期、地点、设备) from the complete metadata set and incorporates it into provenance data. This selective extraction reduces the image data volume by removing unnecessary metadata while preserving the essential information needed for authenticity verification.
Data Source
AI summary
An electronic apparatus includes at least one memory and at least one processor. The at least one memory stores one or more programs that, when executed by the at least one processor, causes the at least one processor to generate content including a plurality of metadata items, select one or more metadata items from among the plurality of metadata items to be incorporated in provenance data, and generate the provenance data that incorporates the selected one or more metadata items and a hash value. The provenance data is generated when the content including the plurality of metadata items is generated.