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IPC Subgroup
G06V 10/52

Scale-space analysis, e.g. wavelet analysis

Introduced: January 2022

Full Title

Arrangements for image or video recognition or understanding > Extraction of image or video features > Scale-space analysis, e.g. wavelet analysis

Classification Context

Section:
PHYSICS
Class:
COMPUTING OR CALCULATING; COUNTING
Subclass:
IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

Additional Content

Glossary

CWT continuous wavelet transform DoG difference of Gaussians DWT discrete wavelet transform LoG Laplacian of Gaussian Haar wavelets Haar wavelet family of wavelets constructed from rescaled square-shaped functions steerable filters steerable filter class of orientation-selective convolution kernels used for feature extraction that can be expressed via a linear combination of a small set of rotated versions of themselves. As an example, the oriented first derivative of a two-dimensional [2D] Gaussian is a steerable filter.

Limiting references

Multi-scale boundary representations

Top Applicants

Top 10 applicants by patent filingsfor class G06, 2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 66,669
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,313
  3. MICROSOFT TECHNOLOGY LICENSING US 41,918
  4. GOOGLE US 32,969
  5. SGCC(STATE GRID CORPORATION OF CHINA) 30,822
  6. INTEL CORPORATION US 30,010
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 28,235
  8. HUAWEI TECHNOLOGIES COMPANY CN 26,079
  9. APPLE US 21,891
  10. HUAWEI TECHNOLOGIES COMPANY 20,505