Multiresolution Video Fingerprinting for Format-Independent Identification
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Solution Overview
Problem
Existing methods for uniquely identifying digital video objects, such as hash functions, are inadequate for content identification as they change with format and bitrate variations, lacking robustness and discriminability.
Innovation Solution
A method and system for generating a unique fingerprint for digital video objects by processing spatial and temporal signatures at multiple resolutions and frame rates, resulting in a robust and compact identifier that remains invariant to format, bitrate, and minor alterations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hash functions are used to identify digital video objects, then data integrity check is improved, but content identification capability deteriorates due to sensitivity to format and bitrate variations
Solution Approach 1:
The patent transforms video content parameters (spatial resolution, temporal frame rate) into invariant fingerprint features through multiresolution and multirate analysis. By changing the analysis parameters to multiple scales simultaneously, the system captures content-essential features while eliminating format-dependent variations, resolving the contradiction between data integrity and content identification adaptability
Solution Approach 2:
The patent creates a composite fingerprint structure combining spatial signatures (from spatial decomposition) and temporal signatures (from temporal decomposition). This composite approach integrates multiple feature types that individually provide robustness against different transformations, achieving both reliability for integrity checking and adaptability for content identification across formats
2Adaptability or versatility
If traditional fingerprinting methods are used, then content identification is improved, but robustness against format variations and bitrate changes deteriorates
Solution Approach 1:
The patent segments the video signal into spatial components (through block decomposition and DCT coefficient extraction) and temporal components (through frame-difference analysis). This segmentation allows independent processing of spatial and temporal features, enabling the system to maintain content identification capability while achieving robustness against format variations by analyzing each segment at multiple scales
Solution Approach 2:
The patent adds temporal dimension to traditional spatial fingerprinting by incorporating multirate temporal analysis. By analyzing video content in both spatial (width×height) and temporal (frame rate) dimensions simultaneously, the system creates fingerprints that are robust to format changes in either dimension, resolving the contradiction between identification capability and robustness
3Measurement precision
If detailed video analysis is performed for accurate fingerprinting, then fingerprint accuracy is improved, but computational complexity and processing time deteriorate
Solution Approach 1:
The patent applies partial action by selectively processing only the most discriminative DCT coefficients (mid-frequency components) rather than all frequency components. This partial processing maintains fingerprint accuracy for content identification while significantly reducing computational complexity compared to full-spectrum analysis, resolving the contradiction between precision and complexity
Data Source
AI summary
A method and system for generating a fingerprint for a video object. The method includes obtaining a plurality of frames associated with a video object. Additionally, the method includes, for each of the plurality of frames, processing information associated with the plurality of frames, determining a plurality of spatial signatures for the each of the plurality of frames based on at least information associated with the each of the plurality of frames, and determining a plurality of temporal signatures for the each of the plurality of frames based on at least information associated with the plurality of frames. The plurality of spatial signatures corresponds to a plurality of resolutions respectively, and the plurality of temporal signatures corresponding to a plurality of frame rates respectively.