Video Authentication Using Metadata IDs and Hash Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video authentication methods are inefficient and prone to human error in detecting minor modifications, making it difficult to verify the authenticity of video evidence in legal proceedings.
Innovation Solution
A method involving the generation of unique hash values and identifiers embedded in metadata, allowing for rapid comparison of video files without the need for direct video analysis, thereby determining modification status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If video files are directly analyzed and compared to detect modifications, then detection accuracy can be maintained, but processing time and computational resources increase significantly
Solution Approach 1:
The system performs preliminary hashing of video files at the time of upload or archiving, storing the hash values and identifiers in advance. When verification is needed, the pre-computed hash values are immediately compared against the uploaded file's hash, eliminating the need for time-consuming full video analysis during verification.
Solution Approach 2:
The patent introduces hash values and metadata identifiers as intermediary elements that represent the video content. Instead of directly comparing video files, the system compares these compact digital representations, which serve as mediators that preserve detection accuracy while dramatically reducing processing requirements.
2Reliability
If full video files are transmitted and analyzed for authentication, then comprehensive verification is achieved, but network bandwidth and storage requirements increase
Solution Approach 1:
The system extracts essential authentication information (hash values and metadata identifiers) from the video files, separating this critical verification data from the full video content. Only these extracted elements need to be transmitted and stored for authentication purposes, while the complete video files can remain locally or be excluded from transmission entirely.
Solution Approach 2:
Instead of transmitting and storing original video files for verification, the system creates and uses digital copies in the form of hash values and identifiers. These cryptographic copies contain all necessary information for authentication while occupying minimal space and bandwidth compared to the original video files.
3Adaptability or versatility
If manual video verification methods are used, then flexibility in handling various video formats is maintained, but human error increases and processing efficiency decreases
Solution Approach 1:
The system implements self-service automation where the verification process performs all necessary operations automatically - generating hash values, comparing identifiers, and determining authentication status without human intervention. This eliminates manual errors and significantly improves processing efficiency while maintaining format flexibility through automated format detection and handling.
Solution Approach 2:
The patent replaces manual mechanical verification processes with automated computational systems. Hashing algorithms and digital comparison mechanisms substitute for human review, providing consistent, error-free processing across all video formats while dramatically increasing throughput and efficiency.
Data Source
AI summary
A request to archive a first video is received. In response to receiving the request to archive the first video, the first video is hashed using a hashing technique to generate a first hash value. In response to receiving the request to archive the first video, a first identifier is embedded in metadata of the first video. After receiving the request to archive the first video, (1) a second hash value generated by hashing a second video using the hashing technique and (2) a second identifier that was embedded in metadata of the second video are received from a remote compute device and without receiving the second video. A modification status of the second video is determined based on the first hash value, the second hash value, the first identifier, and the second identifier. A signal is sent to the remote compute device indicating the modification status.


