Video File Authorship Attribution via Segmented Fingerprinting
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Solution Overview
Problem
The existing technologies face challenges in accurately attributing authorship of digital content, particularly video files, leading to misallocation of digital rights due to issues like 'freebooting' where content is re-hosted and modified, making it difficult to determine the original creator and allocate rights accordingly.
Innovation Solution
A method and system that utilize an authorship attribution database to examine video files, extract key segments, and determine authorship by comparing them to stored records, enabling accurate attribution and digital rights allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content is re-hosted on different sites or by different authors, then content distribution and accessibility are improved, but authorship attribution accuracy deteriorates leading to misallocation of digital rights
Solution Approach 1:
The patent segments video content into unique segments and creates fingerprints for each segment. When attributing authorship, the system divides the video file into segments and compares each segment against the database of segmented video files. This segmentation approach allows the system to handle re-hosted and modified content by identifying matching segments even when the overall video structure changes, thus maintaining attribution accuracy while enabling content distribution.
Solution Approach 2:
The patent introduces an intermediary mechanism - the segmented video file database with fingerprints - that acts as a mediator between content distribution and authorship verification. The database stores segmented versions of original videos with unique identifiers, allowing the system to verify authorship through intermediate comparison steps rather than direct whole-video matching, thereby resolving the contradiction between distribution flexibility and attribution precision.
2Adaptability or versatility
If small revisions are made to video content, then content adaptability is improved, but authorship determination becomes difficult as second individuals may be incorrectly allocated digital rights
Solution Approach 1:
The system segments video content into multiple unique segments and creates fingerprints for each segment. When a video with modifications is uploaded, the system segments it and compares each segment against the database. Even small revisions will result in some segments not matching the original, allowing the system to identify the extent of modification and maintain reliable authorship determination by detecting segment mismatches.
Solution Approach 2:
The patent changes the parameter of video comparison from whole-video matching to segment-level fingerprint matching. By transforming the comparison unit from the entire video to individual segments with unique identifiers, the system can detect parameter changes (modifications) at the segment level, thereby maintaining reliable authorship determination even when content adaptability through modification is improved.
3Measurement precision
If video files are examined using authorship attribution databases, then authorship attribution accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent segments video files into smaller units and creates compact fingerprints for each segment. During authorship verification, the system processes segments independently rather than analyzing entire videos at once. This segmentation reduces the computational complexity and processing time while maintaining high attribution accuracy through cumulative segment matching.
Solution Approach 2:
The system extracts only the essential identifying features (fingerprints) from video segments rather than processing and comparing entire video files. By taking out and storing only the critical fingerprint data in the database, the system enables rapid comparison and attribution without the time cost of processing complete videos, thus reducing processing time while preserving attribution precision.
4Productivity
If key segments are extracted from video files, then authorship verification efficiency is improved, but information retention may be reduced
Solution Approach 1:
The patent extracts key segments and their fingerprints from video files for storage in the database. This extraction focuses on capturing the essential identifying information needed for authorship verification while leaving the full video content intact for viewing and distribution. The extracted fingerprints serve as verification keys without compromising the original video's completeness.
Solution Approach 2:
The system creates copies of key segment fingerprints rather than storing or removing actual video content. The fingerprints are copied and stored in the database for verification purposes, while the original complete video files remain unchanged and fully accessible. This copying approach enables efficient verification without losing any content information.
Data Source
AI summary
Methods, computer program products, and systems are set forth herein and can include examining a video file using content of an authorship attribution database, the authorship attribution database including one or more authorship attribution video file record; and determining authorship attribution of the video file based on the examining. The authorship attribution database can include one or more authorship attribution video file record.