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DIFF Subgroup
G06V 10/40

Extraction of image or video features

Introduced: January 2022

Full Title

Full titles differ between systems:

IPC:

Arrangements for image or video recognition or understanding > Extraction of image or video features

CPC:

Arrangements for image or video recognition or understanding (character recognition in images or video G06V30/10) > Extraction of image or video features

Additional Content IPC

Glossary

BoW bag of words, a model originally developed for natural language processing; when applied to images, it represents an image by a histogram of visual words, each visual word representing a specific part of the feature space. edge edges region in the image, at which the image exhibits a strong luminance gradient. GLCM grey-level co-occurrence matrix HOG histogram of oriented gradients, a feature descriptor described by N Dalal and B Triggs SIFT scale-invariant feature transform, a feature detection algorithm SURF speeded up robust features, a feature descriptor

Application references

Recognition of scene and scene-specific elements Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition Image or video recognition or understanding of human-related, animal-related or biometric patterns in image or video data Recognition of fingerprints or palmprints Recognition of vascular patterns Recognition of human faces, e.g. facial parts, sketches or expressions within images or video data Recognition of eye characteristics within image or video data, e.g. of the iris

Of 12 combined children, 11 exist in both systems.

1 codes are CPC-only extensions.

2 shared codes have differing titles between IPC and CPC.

IPC defines codes here since 2022.

Child Classifications

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  • G06V 10/48 by mapping characteristic values of the pattern into a parameter space, e.g. Hough transformation since 2022 IPC+CPC Available in IPC and CPC
  • G06V 10/513 CPC only CPC only
  • G06V 10/52 Scale-space analysis, e.g. wavelet analysis (multi-scale boundary representations G06V10/42) since 2022 IPC+CPC Available in IPC and CPC
  • G06V 10/54 relating to texture since 2022 IPC+CPC Available in IPC and CPC
  • G06V 10/56 relating to colour since 2022 IPC+CPC Available in IPC and CPC
  • G06V 10/58 relating to hyperspectral data since 2022 IPC+CPC Available in IPC and CPC
  • G06V 10/60 relating to illumination properties, e.g. using a reflectance or lighting model since 2022 IPC+CPC Available in IPC and CPC
  • G06V 10/62 relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking since 2022 IPC+CPC Available in IPC and CPC

Top Applicants

Top Applicants (IPC)

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

Top Applicants (CPC)

Class G06,2013–2023, worldwide · Source: EPO PATSTAT

  1. SAMSUNG ELECTRONICS COMPANY KR 76,952
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 62,841
  3. MICROSOFT TECHNOLOGY LICENSING US 44,778
  4. GOOGLE US 35,735
  5. INTEL CORPORATION US 32,087
  6. HUAWEI TECHNOLOGIES COMPANY CN 30,572
  7. TENCENT TECHNOLOGY (SHENZHEN) COMPANY 25,023
  8. APPLE US 23,482
  9. SGCC(STATE GRID CORPORATION OF CHINA) 22,548
  10. HUAWEI TECHNOLOGIES COMPANY 20,917