Dynamic Multimedia Fingerprint Database Parameter Configuration
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Solution Overview
Problem
Current multimedia fingerprint databases face challenges in dynamically configuring search parameters to optimize accuracy and resource usage, particularly in handling varying database sizes and accuracy requirements, which affects the probabilities of false positives, correct identification, and misclassification.
Innovation Solution
The implementation of a method to dynamically configure search parameters such as fingerprint length, index length, threshold, and number of weak bits in hash-table based multimedia fingerprint databases, using an analytic model to compute probabilities and adjust parameters based on target values, ensuring optimal performance and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If search parameters are fixed in multimedia fingerprint databases, then device complexity is reduced, but adaptability to varying database sizes and accuracy requirements deteriorates
Solution Approach 1:
The patent implements dynamic search parameters that automatically adjust based on database size and accuracy requirements. The system transitions from static fixed parameters to dynamic parameters that adapt in real-time, resolving the contradiction by making the system flexible without requiring complex manual configuration.
Solution Approach 2:
The system employs self-service mechanisms where the database automatically determines optimal search parameters based on its current state. The database autonomously adjusts fingerprint length, index length, and threshold values without external intervention, achieving adaptability while minimizing configuration complexity.
2Measurement precision
If fingerprint length is increased to improve identification accuracy, then measurement precision is improved, but resource consumption increases
Solution Approach 1:
The patent dynamically changes the fingerprint length parameter based on the required accuracy level and database characteristics. Instead of using a fixed long fingerprint for all cases, the system adjusts the parameter to match the specific accuracy requirement, reducing unnecessary resource consumption while maintaining adequate identification accuracy.
Solution Approach 2:
The system applies partial action by using only the necessary fingerprint length required for the given accuracy threshold. Rather than always using maximum fingerprint length, it employs the minimum sufficient length, avoiding excessive resource usage while achieving the required measurement precision.
3Productivity
If index length is increased to improve search speed, then productivity is improved, but memory usage increases
Solution Approach 1:
The patent dynamically adjusts the index length parameter based on the database size and search requirements. The system optimizes the balance between search speed and memory usage by selecting the appropriate index length for each specific scenario, rather than using a fixed long index that consumes excessive memory.
4Measurement precision
If threshold is lowered to reduce false positives, then measurement precision is improved, but correct identification rate decreases
Solution Approach 1:
The system uses feedback mechanisms to adjust the threshold parameter based on the observed performance metrics. By monitoring false positive rates and correct identification rates, the system dynamically tunes the threshold to achieve the optimal balance, resolving the contradiction between reducing false positives and maintaining high correct identification rates.
Data Source
AI summary
Techniques are provided for dynamic configuration of search parameters for multimedia fingerprint databases that use weak bits. A multimedia fingerprint database, which stores reference fingerprints and uses weak bits, is maintained. Maintaining the database includes dynamically configuring one or more of the following parameters: a fingerprint length of those portions of the reference fingerprints that are used to identify multimedia objects; an index length of the index used to index those portions of the reference fingerprints that are used to identify multimedia objects; a threshold that is used to determine whether multimedia objects are correctly identified; and a number of the weak bits in the reference fingerprints.