| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7c9996f644cf87840136bf1dd9e37645 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30121
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20221
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10024
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/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G02F1-1309
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01M11-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-50 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-90
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01M11-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G02F1-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate |
2022-04-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f0abc245d044ca7130e2f8a1b173cd16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_00b316136564b8fb2b5c0c96392809d5 |
| publicationDate |
2022-06-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114638793-A |
| titleOfInvention |
A kind of screen aging degree detection method and device |
| abstract |
The invention discloses a screen aging degree detection method. The color space of an input signal is converted from RGB to three color channels of YUV, and frequency domain information and space domain information are extracted from the luminance Y channel to characterize the strong edge features and texture information of screen content images. , extract color features as complementary features in the two chroma channels of U and V, calculate the similarity of different features between the reference screen content image and the distorted image content image, and input multiple similarity features into the machine learning model of random forest Regression training is carried out in the module to obtain the quality score, and the relationship mapping between the feature parameters corresponding to the quality score and the corresponding structure of the feature adoption number is established. The response is analyzed to determine the mapping relationship between the feature parameters and the component structure to determine the platform elements, which improves the efficiency and accuracy of the screen aging detection. |
| priorityDate |
2022-04-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |