http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-102156686-B
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d9de52bba13e16028dffa8775e3f3f28 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F15-18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N5-262 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2011-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2014-08-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_44e0c7f89be861fd995669f40ed04078 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7cd4c303538f107ac42c3799a4811194 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a33afc182d6c97eaed1e0e348cda56f4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cda279ae852b8eee1a5f45019ecd3096 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_370188db60e76097ba30532d27dc767e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_523b231b9f6698452fe4ad4de643772f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8366b9e286fb0c5469cce2adcf59059d |
| publicationDate | 2014-08-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-102156686-B |
| titleOfInvention | Method for detecting specific contained semantics of video based on grouped multi-instance learning model |
| abstract | The invention relates to a method for detecting specific contained semantics of a video based on a grouped multi-instance learning model in the technical field of computer video treatment, which comprises the following steps: continuously cutting the video according to the shots, thereby acquiring a plurality of video segments; using a FFMPEG tool to intercept image describers for each video segment Sij, wherein averagely 25 pictures are intercepted from each video segment at the same interval; extracting the related audio describers by using a video audio track, intercepting the video describers by using a video screenshot set, and intercepting the motion degree by using the video; performing machine learning on each set of describers; and acquiring a result after performing the machine learning, performing an European distance calculation on the learning result and one describer of one target video, and using the acquired minimum value as the approaching degree of the original video under the description of the describer for the target video. |
| priorityDate | 2011-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 126.