Method to differentiate and classify fingerprints using fingerprint neighborhood analysis
US10956484B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 13, 2017 |
| Grant date | Mar 23, 2021 |
| Priority date | — |
| Expiry date | Dec 7, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2021/02166
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are described that exclude use of “stop-fingerprints” from media database formation and search query to an automatic content recognition (ACR) systems based on media content fingerprints updated by stop-fingerprint analysis. A classification process is presented which takes in fingerprints from reference media files as an input and produces a modified set of fingerprints as an output by applying a novel stop-fingerprint classification algorithm. Architecture for the distributed stop-fingerprint generation is presented. Various cases, as stop-fingerprints generation for the entire reference database, stop-fingerprints generation for the individual reference fingerprint files, and temporal fingerprint classification obtained through intermediate steps of the temporal fingerprint classification algorithm are presented. A hash-based signature classification algorithm is also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.