http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104992187-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ca46be4e68fa1f5a8b2ef4ab654c490a |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2015-07-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3ecfaa641041efaf6183bfb17c92d638 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ef9644ef7735e2227f46587a30f8c087 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e46415ad372fb2f56b1fcdb097cb0fb6 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4656fed5f2112eb06299e7ef9b8580ae http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b6314d5758b236fe90f2bc54e66475a7 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cb53312034f792e868a0c550e300b288 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8ca2677680dd898e587021479af492c3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_28a3450172f2daa69c383f57f31f6f92 |
| publicationDate | 2015-10-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-104992187-A |
| titleOfInvention | Aurora video classification method based on tensor dynamic texture model |
| abstract | The invention discloses an aurora video classification method based on a tensor dynamic texture model and mainly solves the problems that in the prior art, aurora videos cannot be classified directly, and only single frame operation can be carried out, so that classification accuracy and classification efficiency are low. The method comprises the following realization steps: 1) obtaining a training aurora video and a test aurora video; 2) extracting a mixture observation matrix of the training aurora video and the test aurora video; 3) carrying out optimization on the mixture observation matrix of the training aurora video and the test aurora video; 4) training a support vector machine through the optimum mixture observation matrix of the training aurora video and obtaining an SVM classifier; and 5) carrying out classification on the test aurora video through the SVM classifier. The method can realize automatic computer classification of the existing four kinds of aurora videos, has the advantage of high classification accuracy, and can be used for aurora video feature extraction and computer image identification. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108924464-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105956603-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105631471-A |
| priorityDate | 2015-07-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 24.