Video Sequence Validation with Lossless Frame Compression
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Solution Overview
Problem
Existing video transmission systems require high bitrate for digital signatures and cryptographic hash values, which can be a limiting factor, especially over non-secure communication channels, without compromising validation reliability.
Innovation Solution
Implement lossless compression of encoded image frames to identify small frames, generate a data structure with these frames and individual hashes, and provide a digital signature to reduce the data size required for validation, using lossless compression and cryptographic hash functions like SHA-256, SHA3-512, and RSA-1024.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital signature and cryptographic hash values are added to video sequence for validation, then validation reliability is improved, but bitrate requirement increases
Solution Approach 1:
The patent segments the video sequence into individual image frames and processes them separately. Instead of computing cryptographic hash values for the entire video sequence, the system computes hashes for individual frames or groups of frames, significantly reducing the total data volume that requires transmission while maintaining validation capability for the complete sequence.
Solution Approach 2:
The patent extracts only the essential validation data (cryptographic hash values) from the complete video sequence and transmits separately. By separating the validation data from the main video content, the system enables efficient transmission where the hash values can be computed and verified independently, reducing the bitrate burden on the communication channel.
2Measurement precision
If cryptographic hash values are computed for all encoded image frames, then validation accuracy is improved, but data size increases
Solution Approach 1:
The patent applies partial action by computing cryptographic hash values for only a representative subset of image frames rather than every single frame in the video sequence. This selective approach maintains sufficient validation accuracy to detect manipulations while dramatically reducing the data size of transmitted validation information.
Solution Approach 2:
The video sequence is divided into segments or groups of frames, and cryptographic hash values are computed for these segments rather than individually for each frame. This segmentation strategy reduces the total number of hash values that must be transmitted and stored, lowering data size while preserving validation effectiveness.
Data Source
AI summary
A transmitter and a method therein for enabling validation of a video sequence comprising encoded image frames by providing the sequence with a data structure and a digital signature. The method comprises: performing lossless compression of each encoded image frame to obtain a respective losslessly compressed (LC) encoded image frame; identifying small frames each having a data size that is smaller than a predefined number of bytes as small LC encoded image frames; generating a data structure comprising: the small LC encoded image frames; and individual hashes of either all encoded image frames lacking a respective small frame or all other obtained LC encoded image frames being different from the small frames; generating a digital signature; and providing the data structure and the digital signature to the video sequence.