Publication:
Filter optimization and complexity reduction for video coding using graph-based transforms

dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Procesado Multimediaes
dc.contributor.authorMartínez Enríquez, Eduardo
dc.contributor.authorDíaz de María, Fernando
dc.contributor.authorCid Sueiro, Jesús
dc.contributor.authorOrtega Gómez, Román Antonio
dc.date.accessioned2014-04-22T10:41:33Z
dc.date.available2014-04-22T10:41:33Z
dc.date.issued2013
dc.description.abstractThe basis functions of lifting transform on graphs are completely determined by finding a bipartition of the graph and defining the prediction and update filters to be used. In this work we consider the design of prediction filters that minimize the quadratic prediction error and therefore the energy of the detail coefficients, which will give rise to higher energy compaction. Then, to determine the graph bipartition, we propose a distributed maximum-cut algorithm that significantly reduces the computational cost with respect to the centralized version used in our previous work. The proposed techniques show improvements in coding performance and computational cost as compared to our previous work.en
dc.description.sponsorshipThis work was supported in part by NSF under grant CCF-1018977en
dc.description.statusPublicadoes
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationProceedings of 20th IEEE International Conference on Image Processing (ICIP). September 15-18, 2013. Melbourne, Australia. IEEE, pp. 1948-1952es
dc.identifier.doi10.1109/ICIP.2013.6738401
dc.identifier.isbn978-1-4799-2341-0
dc.identifier.publicationfirstpage1948
dc.identifier.publicationlastpage1952
dc.identifier.publicationtitle2013 20th IEEE International Conference on Image Processing (ICIP)en
dc.identifier.urihttps://hdl.handle.net/10016/18793
dc.identifier.uxxiCC/0000020784
dc.language.isoeng
dc.publisherIEEE
dc.relation.eventdateSeptember 15-18, 2013es
dc.relation.eventplaceMelbourne, Australiaes
dc.relation.eventtitle2013 IEEE International Conference on Image Processing (ICIP)es
dc.relation.publisherversionhttp://dx.doi.org/10.1109/ICIP.2013.6738401es
dc.rights.accessRightsopen access
dc.subject.otherWavelet transformsen
dc.subject.otherVideo codingen
dc.subject.otherMCTFen
dc.subject.otherLiftingen
dc.subject.otherGraphsen
dc.titleFilter optimization and complexity reduction for video coding using graph-based transformsen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
filter_ICIP_2013_ps.pdf
Size:
225.82 KB
Format:
Adobe Portable Document Format
Description:
Ponencia
Loading...
Thumbnail Image
Name:
filter_ICIP_2013.pdf
Size:
1.91 MB
Format:
Adobe Portable Document Format
Description:
Póster