| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a68790a12228f5b99e176e8aacff640a |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20208
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-90
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-22
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-003
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6256
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-009
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6215
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-454
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-56
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-90 |
| filingDate |
2019-03-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2022-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bdef7d3fe75d77722e54db3ec6d2417d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1b45ef4813af4fdc1d6fe4eb486526b7
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_19fdc3731b4d15cbb548c7a9a99b1d07
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8ea434c1a4b4e36645f0311729f3790b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b9da8e4299b86c33ed93881b94d6c6c1 |
| publicationDate |
2022-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-11328169-B2 |
| titleOfInvention |
Switchable propagation neural network |
| abstract |
A temporal propagation network (TPN) system learns the affinity matrix for video image processing tasks. An affinity matrix is a generic matrix that defines the similarity of two points in space. The TPN system includes a guidance neural network model and a temporal propagation module and is trained for a particular computer vision task to propagate visual properties from a key-frame represented by dense data (color), to another frame that is represented by coarse data (grey-scale). The guidance neural network model generates an affinity matrix referred to as a global transformation matrix from task-specific data for the key-frame and the other frame. The temporal propagation module applies the global transformation matrix to the key-frame property data to produce propagated property data (color) for the other frame. For example, the TPN system may be used to colorize several frames of greyscale video using a single manually colorized key-frame. |
| priorityDate |
2017-09-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |