Patent · US Active

Computer-implemented perceptual apparatus

US11693372B2 · kind B2 · utility

0Cited by
2References
6Claims
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Key dates

Filing dateJul 26, 2018
Grant dateJul 4, 2023
Priority date
Expiry dateJul 26, 2038

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06V10/955
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A method for compressing a digital representation of a stimulus includes encoding the digital representation as a feature vector within a feature space. The method also includes multiplying the feature vector with a Jacobian that maps the feature space to a non-Euclidean perceptual space according to a perceptual system that is capable of perceiving the stimulus. This multiplication generates a perceptual vector within the non-Euclidean perceptual space. The method also includes applying an update operator to the perceptual vector to move the perceptual vector in the perceptual space to an updated vector such that the updated vector has a lower entropy than the perceptual vector. The method also includes rounding the updated vector into a compressed vector that is smaller than the feature vector.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.