Media Fingerprint Validation Using Mismatched Query Samples
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing media identification systems using fingerprint matching can incorrectly identify media content due to samples or promo clips, leading to delayed and incorrect metadata presentation, and the validation process to correct this can further delay the presentation.
Innovation Solution
Use the most recently mismatched query fingerprint as a basis for validation, allowing immediate comparison with reference fingerprints to expedite the validation process and ensure accurate metadata presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a validation process is implemented to correct incorrect media identification, then identification accuracy is improved, but metadata presentation delay increases
Solution Approach 1:
The system performs preliminary fingerprint comparison actions by maintaining a buffer of recently mismatched query fingerprints. When a new identification is made, these pre-buffered fingerprints are immediately available for validation comparison, eliminating the need to wait for new mismatches to occur and enabling immediate validation without adding delay to metadata presentation.
Solution Approach 2:
The system uses its own previously collected mismatched query fingerprints to validate new media identifications. By leveraging internally stored fingerprint data for self-validation, the system avoids external validation delays while maintaining high identification accuracy through the use of multiple reference comparisons.
2Reliability
If multiple query fingerprints are buffered for validation, then identification accuracy is improved, but system complexity increases
Solution Approach 1:
The validation process is segmented into distinct functional components: a buffer for storing recently mismatched query fingerprints, a comparison engine for matching fingerprints against reference data, and a validation logic layer that determines identification confidence. This segmentation allows each component to operate independently and efficiently, managing complexity through modular design.
Solution Approach 2:
The system dynamically adjusts validation parameters such as the number of fingerprints to buffer and the confidence threshold for identification. By changing these parameters based on operational conditions, the system optimizes the balance between identification accuracy and computational complexity without requiring complex structural changes.
Data Source
AI summary
A method for controlling presentation of metadata regarding media. A system could generate query fingerprints representing media content being presented, the media content having been identified as being a first media-content item. The system could further detect a threshold mismatch comprising at least one of the query fingerprints not matching any of first reference fingerprints known to represent the first media-content item. In response, the system could engage in new media identification, establishing that the media content is a second media-content item, and could obtain both second reference fingerprints known to represent the second media-content item and metadata regarding the second media-content item. Further, the system could validate the new identification as a condition precedent to presenting the obtained metadata, the validating including comparing with the obtained second digital reference fingerprints the at least one digital query fingerprint that did not match any of the first digital reference fingerprints.


