Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d21cbff64022f95c237c0bd3ec8656ca http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_536d094095d4e28c545ea98d7ad4754f http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5218d67b4ba76bb1adf7e9463e66cc63 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30168 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-993 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N1-387 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T1-00 |
filingDate |
2011-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e7ff699de39b11ff125af083b492a97a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f7e88156e2e1c4d5675d2c3e31c33281 |
publicationDate |
2011-11-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
WO-2011143223-A2 |
titleOfInvention |
Determining quality of an image or a video using a distortion classifier |
abstract |
Techniques and structures are disclosed in which one or more distortion categories are identified for an image or video, and a quality of the image or video is determined based on the one or more distortion categories. The image or video may be of a natural scene, and may be of unknown provenance. Identifying a distortion category and/or determining a quality may be performed without any corresponding reference (e.g., undistorted) image or video. Identifying a distortion category may be performed using a distortion classifier. Quality may be determined with respect to a plurality of human opinion scores that correspond to a particular distortion category to which an image or video of unknown provenance is identified as belonging. Various statistical methods may be used in performing said identifying and said determining, including use of generalized Gaussian distribution density models and natural scene statistics. |
priorityDate |
2010-05-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |