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

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Show simple item record Martínez Enríquez, Eduardo Díaz-de-María, Fernando Cid Sueiro, J. Ortega, Antonio 2014-04-22T10:41:33Z 2014-04-22T10:41:33Z 2013
dc.identifier.bibliographicCitation Proceedings of 20th IEEE International Conference on Image Processing (ICIP). September 15-18, 2013. Melbourne, Australia. IEEE, pp. 1948-1952
dc.identifier.isbn 978-1-4799-2341-0
dc.description.abstract The 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.
dc.description.sponsorship This work was supported in part by NSF under grant CCF-1018977
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher IEEE
dc.subject.other Wavelet transforms
dc.subject.other Video coding
dc.subject.other MCTF
dc.subject.other Lifting
dc.subject.other Graphs
dc.title Filter optimization and complexity reduction for video coding using graph-based transforms
dc.type conferenceObject
dc.type bookPart
dc.description.status Publicado
dc.identifier.doi 10.1109/ICIP.2013.6738401
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.relation.eventdate September 15-18, 2013
dc.relation.eventplace Melbourne, Australia
dc.relation.eventtitle 2013 IEEE International Conference on Image Processing (ICIP)
dc.identifier.publicationfirstpage 1948
dc.identifier.publicationlastpage 1952
dc.identifier.publicationtitle 2013 20th IEEE International Conference on Image Processing (ICIP)
dc.identifier.uxxi CC/0000020784
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