| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_12517b2fc95d8914e48bbe72a85fe436 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N19-625
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N19-126
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N19-136
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04N19-18 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-18
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-14
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N19-625
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04N19-96
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T9-00 |
| filingDate |
2014-05-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3db8010f456a8b9af713876661b6e605
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c83ae46afebd473ea306907849f9fe6c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dd81d85245940f65e7abb4e53d7db71d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c07ec097fd85d6579fe5b167f8ce436d |
| publicationDate |
2014-11-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2014186886-A1 |
| titleOfInvention |
System and method having transparent composite model for transform coefficients |
| abstract |
To better handle the flat tail phenomenon commonly seen in transform coefficients such as DCT coefficients, a system and method having a model dubbed a transparent composite model (TCM) are described. Given a sequence of transform coefficients, a TCM first separates the tail of the sequence from the main body of the sequence. A first distribution such as a uniform, truncated Laplacian, or truncated geometric distribution can be used to model transform coefficients in the flat tail while at least one parametric distribution (e.g. truncated Laplacian, generalized Gaussian (GG), and geometric distributions) can be used to model data in the main body. A plurality of boundary values can be used to bound a plurality of distribution models. The plurality of boundary values and other parameters of the TCM can be estimated via maximum likelihood (ML) estimation or greedy estimation. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109089125-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109089125-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106028032-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106028032-B |
| priorityDate |
2013-05-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |