using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks

using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks · Cooperative Patent Classification (CPC)

Computing, optics, measurement, and control technologies.

Related technology areas

Mapped technology topics for this CPC code.

CPC classification statistics
MetricValue
CPC codeG06V10/84
Official titleusing probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks
Display labelusing probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks
Total patents471

Filing trend

Year-over-year patent counts classified under this CPC code.

Filing activity over the last five years is stable.

Patents filed per year
YearPatents
20157
20166
201718
201820
201927
202032
202158
202267
202385
202478
202554
202619

Representative patents

Representative publications under this CPC code from precomputed stats, or recent filings when stats are unavailable.

Frequently asked questions

Answers are generated from the same data shown on this page.

What is CPC G06V10/84?
CPC G06V10/84 is the Cooperative Patent Classification code for “using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks.”
How many patents are filed under CPC G06V10/84 (using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks)?
Our database includes 471 publications tagged with this CPC code.
Is patent activity under CPC G06V10/84 growing?
Publication counts under this code: 78 in 2024 vs 54 in 2025 (latest complete years).