- International families
- 207k2015 to 2024
- Leading country
- United States1.2× the next
- All families
- 1.21Mhome filings included
- Over five years
- Rising2020 to 2024 against the five before
Year by year
Patent families by country of origin and the year of the earliest filing, 2000 to 2025; 2025 is a part year, still filling in. International families are those for which protection was sought beyond one country.
Volume
International patent families in the capability, by the year of the earliest filing.
Source: Global Institute for National Capability (GINC), 2026. Underlying patents from 107 patent offices, IFI CLAIMS and Google
Share by country
Each country's share of the year's international families, in per cent: the capability's five largest countries of origin, 2015 to 2024, and the rest of the world.
Source: Global Institute for National Capability (GINC), 2026. Underlying patents from 107 patent offices, IFI CLAIMS and Google
Country leaderboard
International patent families, 2015 to 2024, by country of origin. Growth compares the latest five full years with the five before.
Ten largest
United States
China
Japan
South Korea
Germany
Taiwan
France
United Kingdom
Canada
Netherlands
52,577
44,684
37,272
22,879
11,142
5,448
3,942
3,079
2,846
2,800
| 2000 to 2025 | ||||||
|---|---|---|---|---|---|---|
| 1 | United States | 52,577 | 25.4% | 1.3× | 117,558 | |
| 2 | China | 44,684 | 21.6% | 1.7× | 891,044 | |
| 3 | Japan | 37,272 | 18.0% | 1.1× | 55,846 | |
| 4 | South Korea | 22,879 | 11.1% | 1.7× | 76,150 | |
| 5 | Germany | 11,142 | 5.4% | 1.7× | 17,064 | |
| 6 | Taiwan | 5,448 | 2.6% | 1.2× | 9,452 | |
| 7 | France | 3,942 | 1.9% | 1.4× | 5,332 | |
| 8 | United Kingdom | 3,079 | 1.5% | 1.2× | 4,085 | |
| 9 | Canada | 2,846 | 1.4% | 1.6× | 4,273 | |
| 10 | Netherlands | 2,800 | 1.4% | 1.1× | 3,372 | |
| 11 | Israel | 2,188 | 1.1% | 1.3× | 3,393 | |
| 12 | Sweden | 2,058 | 1.0% | 1.4× | 2,353 | |
| 13 | Switzerland | 1,962 | 0.9% | 2.0× | 2,465 | |
| 14 | India | 1,940 | 0.9% | 1.7× | 3,531 | |
| 15 | Singapore | 1,615 | 0.8% | 2.4× | 2,158 | |
| 16 | Australia | 1,202 | 0.6% | 1.5× | 1,621 | |
| 17 | Ireland | 898 | 0.4% | 0.8× | 1,732 | |
| 18 | Finland | 890 | 0.4% | 1.2× | 1,101 | |
| 19 | Cayman Islands | 875 | 0.4% | 0.5× | 1,002 | |
| 20 | Italy | 742 | 0.4% | 1.6× | 1,149 | |
| 21 | Russia | 537 | 0.3% | 0.7× | 1,058 | |
| 22 | Türkiye | 501 | 0.2% | 2.8× | 1,121 | |
| 23 | Belgium | 446 | 0.2% | 1.0× | 514 | |
| 24 | Spain | 442 | 0.2% | 1.7× | 566 | |
| 25 | Austria | 414 | 0.2% | 1.5× | 461 | |
| 26 | Denmark | 410 | 0.2% | 1.8× | 468 | |
| 27 | Hong Kong | 410 | 0.2% | 0.8× | 612 | |
| 28 | Saudi Arabia | 241 | 0.1% | 2.2× | 516 | |
| 29 | Norway | 223 | 0.1% | 0.9× | 259 | |
| 30 | New Zealand | 176 | 0.1% | 3.0× | 208 | |
| 31 | Portugal | 170 | 0.1% | 2.3× | 203 | |
| 32 | Brazil | 158 | 0.1% | 1.2× | 414 | |
| 33 | Poland | 142 | 0.1% | 1.6× | 236 | |
| 34 | Malaysia | 123 | 0.1% | 1.0× | 179 | |
| 35 | Luxembourg | 103 | 0.0% | 1.1× | 144 | |
| 36 | South Africa | 60 | 0.0% | 0.9× | 70 | |
| 37 | Hungary | 48 | 0.0% | 1.7× | 68 | |
| 38 | Mexico | 40 | 0.0% | 0.5× | 113 | |
| 39 | Czechia | 36 | 0.0% | 1.4× | 88 | |
| 40 | Liechtenstein | 26 | 0.0% | 5.5× | 27 |
Applicants
The largest applicants by international patent families, 2015 to 2024: across the world, then within each of the five countries with the most families in Applied AI & Advanced Analytics. Names are as held in the source and are not consolidated across subsidiaries.
Global
206,866 international families
SAMSUNG ELECTRONICS CO LTD · South Korea
HUAWEI TECH CO LTD · China
NEC CORP · Japan
MICROSOFT TECHNOLOGY LICENSING LLC · United States
GOOGLE LLC · United States
TOYOTA MOTOR CORP · Japan
6,744
3,442
3,316
3,295
2,754
2,523
United States
52,577 international families
MICROSOFT TECHNOLOGY LICENSING LLC
GOOGLE LLC
GOOGLE INC
IBM
FORD GLOBAL TECH LLC
QUALCOMM INC
3,270
2,740
1,582
1,350
1,288
1,124
China
44,684 international families
HUAWEI TECH CO LTD
PING AN TECH SHENZHEN CO LTD
TENCENT TECH SHENZHEN CO LTD
BOE TECHNOLOGY GROUP CO LTD
BEIJING BAIDU NETCOM SCI & TECH CO LTD
BEIJING ZITIAO NETWORK TECHNOLOGY CO LTD
3,298
2,269
1,724
1,702
1,630
1,156
Japan
37,272 international families
NEC CORP
TOYOTA MOTOR CORP
CANON KK
TOYOTA MOTOR CO LTD
FUJITSU LTD
SONY CORP
3,115
2,485
2,477
2,462
2,028
1,612
South Korea
22,879 international families
SAMSUNG ELECTRONICS CO LTD
LG ELECTRONICS INC
HYUNDAI MOTOR CO LTD
KIA CORP
KIA MOTORS CORP
ELECTRONICS & TELECOMMUNICATIONS RES INST
6,724
1,494
1,391
1,050
830
639
Germany
11,142 international families
BOSCH GMBH ROBERT
SIEMENS AG
ROBERT BOSCH CO LTD
SIEMENS HEALTHCARE GMBH
Siemens Healthineers Ag
BAYERISCHE MOTOREN WERKE AG
2,439
1,051
819
786
549
452
Similar capabilities
The nine capabilities that share the most international patent families with Applied AI & Advanced Analytics, 2015 to 2024: the families counted in both as a share of those counted in either. Each card shows its five largest countries.
Strategic Infrastructure
AI Tools & Applications
71.3% shared · 180,879 families in both
United States
China
Japan
South Korea
Germany
59,104
48,655
39,220
27,537
12,086
Critical Technology
Machine Learning & Foundation Models
25.6% shared · 64,113 families in both
United States
China
South Korea
Japan
Germany
32,358
20,768
15,108
13,257
5,948
Governance & Integrity
Policing & Law Enforcement
15.6% shared · 35,513 families in both
Japan
China
United States
South Korea
Germany
13,305
11,355
11,063
6,119
3,107
Production & Innovation
Services Economy
12.8% shared · 32,899 families in both
United States
Japan
South Korea
China
Germany
24,048
16,321
11,491
8,566
3,398
Strategic Infrastructure
Data Resources
10.9% shared · 29,265 families in both
United States
China
Japan
South Korea
Germany
28,809
23,945
12,592
7,266
3,037
Strategic Infrastructure
Health Infrastructure
10.8% shared · 28,021 families in both
United States
Japan
China
South Korea
Germany
24,406
13,906
7,434
6,894
5,818
Critical Technology
Autonomous Systems & Trusted Autonomy
9.1% shared · 21,945 families in both
Japan
United States
China
Germany
South Korea
15,331
13,144
8,455
5,859
5,850
Human Capital
Service Delivery & Coverage
7.7% shared · 33,676 families in both
United States
Japan
China
South Korea
Germany
84,023
38,520
26,886
18,896
17,937
Production & Innovation
Digital Economy Adoption
7.7% shared · 19,991 families in both
United States
Japan
China
South Korea
Germany
21,362
15,584
10,966
7,828
2,749
Crosswalk
How Applied AI & Advanced Analytics is matched to the patent classifications. The entries below were chosen for it; each stands for itself and everything beneath it in the scheme, 690 Cooperative entries in all. A patent family counts when any of its codes, in either scheme and at any office, falls under one of them. Codes since retired are placed under the entries that replaced them.
| Entry | Title in the scheme | Why it is chosen | CPC codes | IPC codes | Documents |
|---|---|---|---|---|---|
| G06V | Image or video recognition or understanding | Image and video recognition | 691 | 189 | 4,093,585 |
| G06F18/00 | Pattern recognition | Pattern recognition | 165 | 47 | 1,480,572 |
| G06F40/00 | Handling natural language data | Natural language processing | 68 | 68 | 835,945 |
| G10L15/00 | Speech recognition | Speech recognition | 61 | 29 | 593,880 |
| G10L13/00 | Speech synthesis; Text to speech systems | Speech synthesis | 16 | 10 | 104,383 |
| G06N5/00 | Computing arrangements using knowledge-based models | Knowledge-based systems and automated reasoning | 17 | 11 | 320,639 |
| G16H50/20 | ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems | Computer-aided medical diagnosis | 1 | 1 | 175,225 |
| G06Q10/04 | Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" | Forecasting and optimisation for management | 3 | 2 | 210,388 |
| G06F30/27 | Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model | Engineering design using machine learning | 1 | 1 | 107,710 |
| G06T2207/20081 | Training; Learning | Image analysis using trained models | 1 | none | 206,343 |
| G06T2207/20084 | Artificial neural networks [ANN] | Image analysis using neural networks | 1 | none | 194,351 |
| G05B13/027 | Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only | Adaptive control using neural networks | 1 | none | 10,282 |
| G06N5/045 | Explanation of inference; Explainable artificial intelligence [XAI]; Interpretable artificial intelligence | Left out |
CPC and IPC codes are the codes in use on patent documents, at any office, that fall under the entry. Documents is the larger of the two schemes' counts of documents carrying one of them. An entry with no IPC codes can be told apart only in the Cooperative scheme.
The Cooperative codes in use that count towards Applied AI & Advanced Analytics: 1,026 codes on 8,278,338 documents. The 150 most used are listed; the full list is in the cpc-to-capability.csv download.
| Code | Title | Under entry | How placed | Documents |
|---|---|---|---|---|
| G06V10/82 | Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks | G06V | In the scheme | 281,049 |
| G06T2207/20081 | Training; Learning | G06T2207/20081 | In the scheme | 206,343 |
| G06F18/214 | Generating training patterns; Bootstrap methods, e.g. bagging or boosting | G06F18/00 | In the scheme | 196,561 |
| G06T2207/20084 | Artificial neural networks [ANN] | G06T2207/20084 | In the scheme | 194,351 |
| G16H50/20 | ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems | G16H50/20 | In the scheme | 175,225 |
| G06V10/764 | Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects | G06V | In the scheme | 168,002 |
| G06Q10/04 | Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" | G06Q10/04 | In the scheme | 164,344 |
| G06F18/22 | Matching criteria, e.g. proximity measures | G06F18/00 | In the scheme | 136,478 |
| G06F40/30 | Semantic analysis | G06F40/00 | In the scheme | 117,904 |
| G10L15/22 | Procedures used during a speech recognition process, e.g. man-machine dialogue | G10L15/00 | In the scheme | 102,828 |
| G06V10/774 | Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting | G06V | In the scheme | 98,708 |
| G06F18/24 | Classification techniques | G06F18/00 | In the scheme | 96,186 |
| G06V20/52 | Surveillance or monitoring of activities, e.g. for recognising suspicious objects | G06V | In the scheme | 91,298 |
| G06F30/27 | Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model | G06F30/27 | In the scheme | 89,038 |
| G06V10/25 | Determination of region of interest [ROI] or a volume of interest [VOI] | G06V | In the scheme | 88,478 |
| G06F18/213 | Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods | G06F18/00 | In the scheme | 88,288 |
| G06V10/806 | Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features | G06V | In the scheme | 74,574 |
| G10L15/26 | Speech to text systems | G10L15/00 | In the scheme | 74,502 |
| G06N5/04 | Inference or reasoning models | G06N5/00 | In the scheme | 72,133 |
| G06F18/241 | Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches | G06F18/00 | In the scheme | 71,485 |
| G06F18/253 | Fusion techniques of extracted features | G06F18/00 | In the scheme | 70,888 |
| G06V10/44 | Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components | G06V | In the scheme | 69,988 |
| G06N5/01 | Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound | G06N5/00 | In the scheme | 67,635 |
| G06V20/58 | Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads | G06V | In the scheme | 61,610 |
| G06V20/56 | Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle | G06V | In the scheme | 60,909 |
| G06V40/172 | Classification, e.g. identification | G06V | In the scheme | 60,422 |
| G06N5/022 | Knowledge engineering; Knowledge acquisition | G06N5/00 | In the scheme | 59,627 |
| G06V40/10 | Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands | G06V | In the scheme | 55,886 |
| G06V10/454 | Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN] | G06V | In the scheme | 54,390 |
| G06V10/40 | Extraction of image or video features | G06V | In the scheme | 54,094 |
| G06V2201/07 | Target detection | G06V | In the scheme | 53,942 |
| G10L2015/223 | Execution procedure of a spoken command | G10L15/00 | In the scheme | 53,661 |
| G06V40/20 | Movements or behaviour, e.g. gesture recognition | G06V | In the scheme | 53,328 |
| G06V10/26 | Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion | G06V | In the scheme | 51,444 |
| G06F18/23 | Clustering techniques | G06F18/00 | In the scheme | 50,932 |
| G06V10/761 | Proximity, similarity or dissimilarity measures | G06V | In the scheme | 48,018 |
| G06F40/284 | Lexical analysis, e.g. tokenisation or collocates | G06F40/00 | In the scheme | 46,881 |
| G06V20/46 | Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames | G06V | In the scheme | 42,712 |
| G06V20/20 | Scenes; Scene-specific elements in augmented reality scenes | G06V | In the scheme | 42,246 |
| G06F18/10 | Pre-processing; Data cleansing | G06F18/00 | In the scheme | 41,589 |
| G06V40/161 | Detection; Localisation; Normalisation | G06V | In the scheme | 41,293 |
| G06F18/2415 | Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate | G06F18/00 | In the scheme | 40,290 |
| G06F18/23213 | Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering | G06F18/00 | In the scheme | 38,504 |
| G06V20/41 | Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items | G06V | In the scheme | 38,467 |
| G06Q10/047 | Optimisation of routes or paths, e.g. travelling salesman problem | G06Q10/04 | In the scheme | 38,310 |
| G06V40/168 | Feature extraction; Face representation | G06V | In the scheme | 37,597 |
| G06V20/64 | Three-dimensional [3D] objects | G06V | In the scheme | 37,361 |
| G06V10/56 | Extraction of image or video features relating to colour | G06V | In the scheme | 37,285 |
| G06V30/10 | Character recognition | G06V | In the scheme | 37,186 |
| G06F18/2433 | Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection | G06F18/00 | In the scheme | 37,139 |
| G06V20/588 | Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road | G06V | In the scheme | 37,051 |
| G06F40/289 | Phrasal analysis, e.g. finite state techniques or chunking | G06F40/00 | In the scheme | 36,942 |
| G06F40/166 | Editing, e.g. inserting or deleting | G06F40/00 | In the scheme | 36,519 |
| G06V20/10 | Terrestrial scenes | G06V | In the scheme | 35,702 |
| G06F18/2411 | Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines | G06F18/00 | In the scheme | 34,503 |
| G06F18/25 | Fusion techniques | G06F18/00 | In the scheme | 33,873 |
| G06F18/217 | Validation; Performance evaluation; Active pattern learning techniques | G06F18/00 | In the scheme | 32,047 |
| G06V40/16 | Human faces, e.g. facial parts, sketches or expressions | G06V | In the scheme | 31,528 |
| G06F40/205 | Parsing | G06F40/00 | In the scheme | 31,124 |
| G06F40/279 | Recognition of textual entities | G06F40/00 | In the scheme | 30,631 |
| G06N5/02 | Knowledge representation; Symbolic representation | G06N5/00 | In the scheme | 30,143 |
| G06V20/40 | Scenes; Scene-specific elements in video content | G06V | In the scheme | 29,254 |
| G06F18/24323 | Tree-organised classifiers | G06F18/00 | In the scheme | 29,148 |
| G06V20/70 | Labelling scene content, e.g. deriving syntactic or semantic representations | G06V | In the scheme | 28,649 |
| G06F40/295 | Named entity recognition | G06F40/00 | In the scheme | 28,205 |
| G06N5/041 | Abduction | G06N5/00 | In the scheme | 27,869 |
| G06V2201/03 | Recognition of patterns in medical or anatomical images | G06V | In the scheme | 27,506 |
| G10L15/063 | Training | G10L15/00 | In the scheme | 27,152 |
| G06F18/2431 | Multiple classes | G06F18/00 | In the scheme | 26,922 |
| G10L15/02 | Feature extraction for speech recognition; Selection of recognition unit | G10L15/00 | In the scheme | 26,747 |
| G06F40/186 | Templates | G06F40/00 | In the scheme | 26,736 |
| G06F18/15 | Statistical pre-processing, e.g. techniques for normalisation or restoring missing data | G06F18/00 | In the scheme | 26,656 |
| G06F40/216 | Parsing using statistical methods | G06F40/00 | In the scheme | 26,216 |
| G06V10/7715 | Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods | G06V | In the scheme | 25,860 |
| G06V40/103 | Static body considered as a whole, e.g. static pedestrian or occupant recognition | G06V | In the scheme | 25,762 |
| G06V20/13 | Satellite images | G06V | In the scheme | 25,697 |
| G06V10/751 | Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching | G06V | In the scheme | 25,265 |
| G06F18/27 | Regression, e.g. linear or logistic regression | G06F18/00 | In the scheme | 25,261 |
| G06V40/28 | Recognition of hand or arm movements, e.g. recognition of deaf sign language | G06V | In the scheme | 25,130 |
| G06V40/171 | Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships | G06V | In the scheme | 25,068 |
| G06F40/58 | Use of machine translation, e.g. for multi-lingual retrieval, for server-side translation for client devices or for real-time translation | G06F40/00 | In the scheme | 24,693 |
| G06N5/025 | Extracting rules from data | G06N5/00 | In the scheme | 24,062 |
| G06V10/267 | Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds | G06V | In the scheme | 23,946 |
| G10L15/30 | Distributed recognition, e.g. in client-server systems, for mobile phones or network applications | G10L15/00 | In the scheme | 23,946 |
| G06V10/462 | Salient features, e.g. scale invariant feature transforms [SIFT] | G06V | In the scheme | 22,326 |
| G10L15/16 | Speech classification or search using artificial neural networks | G10L15/00 | In the scheme | 22,269 |
| G06V20/17 | Terrestrial scenes taken from planes or by drones | G06V | In the scheme | 21,988 |
| G06V10/30 | Noise filtering | G06V | In the scheme | 21,681 |
| G06V40/1318 | Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing | G06V | In the scheme | 21,581 |
| G06F40/35 | Discourse or dialogue representation | G06F40/00 | In the scheme | 21,443 |
| G06V10/762 | Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks | G06V | In the scheme | 21,350 |
| G06V40/174 | Facial expression recognition | G06V | In the scheme | 20,977 |
| G06F40/40 | Processing or translation of natural language | G06F40/00 | In the scheme | 20,764 |
| G06V10/22 | Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition | G06V | In the scheme | 20,517 |
| G06V40/1365 | Matching; Classification | G06V | In the scheme | 20,273 |
| G06F18/2135 | Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis | G06F18/00 | In the scheme | 19,972 |
| G06V40/1306 | Sensors therefor non-optical, e.g. ultrasonic or capacitive sensing | G06V | In the scheme | 19,717 |
| G06V40/18 | Eye characteristics, e.g. of the iris | G06V | In the scheme | 19,593 |
| G06V10/776 | Validation; Performance evaluation | G06V | In the scheme | 19,590 |
| G06V40/19 | Sensors therefor | G06V | In the scheme | 19,543 |
| G06V20/597 | Recognising the driver's state or behaviour, e.g. attention or drowsiness | G06V | In the scheme | 19,393 |
| G10L15/08 | Speech classification or search | G10L15/00 | In the scheme | 19,332 |
| G06F40/174 | Form filling; Merging | G06F40/00 | In the scheme | 19,325 |
| G06V10/75 | Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries | G06V | In the scheme | 19,280 |
| G06V40/166 | Detection; Localisation; Normalisation using acquisition arrangements | G06V | In the scheme | 19,260 |
| G06F18/20 | Analysing | G06F18/00 | In the scheme | 19,174 |
| G06F40/103 | Formatting, i.e. changing of presentation of documents | G06F40/00 | In the scheme | 19,092 |
| G06V40/23 | Recognition of whole body movements, e.g. for sport training | G06V | In the scheme | 18,430 |
| G06F40/143 | Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD] | G06F40/00 | In the scheme | 18,406 |
| G06F40/211 | Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars | G06F40/00 | In the scheme | 18,362 |
| G06V20/188 | Vegetation | G06V | In the scheme | 18,220 |
| G06F40/169 | Annotation, e.g. comment data or footnotes | G06F40/00 | In the scheme | 18,143 |
| G10L2015/088 | Word spotting | G10L15/00 | In the scheme | 17,766 |
| G06F18/251 | Fusion techniques of input or preprocessed data | G06F18/00 | In the scheme | 17,661 |
| G06F40/106 | Display of layout of documents; Previewing | G06F40/00 | In the scheme | 17,353 |
| G06V10/62 | Extraction of image or video features relating to a temporal dimension, e.g. time-based feature extraction; Pattern tracking | G06V | In the scheme | 17,237 |
| G10L15/1822 | Parsing for meaning understanding | G10L15/00 | In the scheme | 16,636 |
| G06V20/54 | Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats | G06V | In the scheme | 16,519 |
| G06V40/193 | Preprocessing; Feature extraction | G06V | In the scheme | 16,477 |
| G06V2201/08 | Detecting or categorising vehicles | G06V | In the scheme | 16,321 |
| G06V10/20 | Image preprocessing | G06V | In the scheme | 16,112 |
| G06V10/143 | Sensing or illuminating at different wavelengths | G06V | In the scheme | 16,100 |
| G06F40/242 | Dictionaries | G06F40/00 | In the scheme | 15,986 |
| G06F40/18 | Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets | G06F40/00 | In the scheme | 15,937 |
| G06F18/2413 | Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns | G06F18/00 | In the scheme | 15,860 |
| G06V10/80 | Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level | G06V | In the scheme | 15,828 |
| G06V10/10 | Image acquisition | G06V | In the scheme | 15,655 |
| G10L13/08 | Text analysis or generation of parameters for speech synthesis out of text, e.g. grapheme to phoneme translation, prosody generation or stress or intonation determination | G10L13/00 | In the scheme | 15,608 |
| G06F40/20 | Natural language analysis | G06F40/00 | In the scheme | 15,603 |
| G10L13/00 | Speech synthesis; Text to speech systems | G10L13/00 | In the scheme | 15,594 |
| G06V10/255 | Detecting or recognising potential candidate objects based on visual cues, e.g. shapes | G06V | In the scheme | 15,579 |
| G06V2201/06 | Recognition of objects for industrial automation | G06V | In the scheme | 15,314 |
| G06V20/584 | Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights | G06V | In the scheme | 14,969 |
| G06V10/50 | Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis | G06V | In the scheme | 14,836 |
| G10L15/1815 | Semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning | G10L15/00 | In the scheme | 14,645 |
| G06V20/698 | Matching; Classification | G06V | In the scheme | 14,606 |
| G06V10/147 | Details of sensors, e.g. sensor lenses | G06V | In the scheme | 14,479 |
| G06V10/28 | Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns | G06V | In the scheme | 14,413 |
| G06V10/765 | Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects using rules for classification or partitioning the feature space | G06V | In the scheme | 14,374 |
| G06V20/00 | Scenes; Scene-specific elements | G06V | In the scheme | 14,046 |
| G06V10/141 | Control of illumination | G06V | In the scheme | 13,846 |
| G06V10/42 | Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation | G06V | In the scheme | 13,710 |
| G06V40/13 | Sensors therefor | G06V | In the scheme | 13,601 |
| G06V10/52 | Scale-space analysis, e.g. wavelet analysis | G06V | In the scheme | 13,350 |
| G06V20/625 | License plates | G06V | In the scheme | 13,282 |
| G06F40/253 | Grammatical analysis; Style critique | G06F40/00 | In the scheme | 13,204 |
| G06V10/60 | Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model | G06V | In the scheme | 12,998 |
| G06V40/12 | Fingerprints or palmprints | G06V | In the scheme | 12,871 |
| G06F18/2321 | Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions | G06F18/00 | In the scheme | 12,860 |
| G06V20/44 | Event detection | G06V | In the scheme | 12,793 |