dc.creator | González Díaz, Rocío | es |
dc.creator | Jiménez Rodríguez, María José | es |
dc.creator | Medrano Garfia, Belén | es |
dc.date.accessioned | 2019-07-04T09:12:44Z | |
dc.date.available | 2019-07-04T09:12:44Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | González Díaz, R., Jiménez Rodríguez, M.J. y Medrano Garfia, B. (2015). Spatiotemporal Barcodes for Image Sequence Analysis. En IWCIA 2015: 17th International Workshop on Combinatorial Image Analysis (61-70), Kolkata, India: Springer. | |
dc.identifier.isbn | 978-3-319-26144-7 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/87836 | |
dc.description.abstract | Taking as input a time-varying sequence of two-dimensional
(2D) binary images, we develop an algorithm for computing a spatiotemporal
0–barcode encoding lifetime of connected components on the image
sequence over time. This information may not coincide with the one provided
by the 0–barcode encoding the 0–persistent homology, since the
latter does not respect the principle that it is not possible to move backwards
in time. A cell complex K is computed from the given sequence,
being the cells of K classified as spatial or temporal depending on whether
they connect two consecutive frames or not. A spatiotemporal path is
defined as a sequence of edges of K forming a path such that two edges
of the path cannot connect the same two consecutive frames. In our
algorithm, for each vertex v ∈ K, a spatiotemporal path from v to the
“oldest” spatiotemporally-connected vertex is computed and the corresponding
spatiotemporal 0–bar is added to the spatiotemporal 0–barcode. | es |
dc.description.sponsorship | Junta de Andalucía FQM-369 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad MTM2012-32706 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | IWCIA 2015: 17th International Workshop on Combinatorial Image Analysis (2015), p 61-70 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Persistent homology | es |
dc.subject | Barcodes | es |
dc.subject | Spatiotemporal data | es |
dc.subject | Digital image sequence analysis | es |
dc.title | Spatiotemporal Barcodes for Image Sequence Analysis | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) | es |
dc.relation.projectID | FQM-369 | es |
dc.relation.projectID | MTM2012-32706 | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-26145-4_5 | es |
dc.identifier.doi | 10.1007/978-3-319-26145-4_5 | es |
idus.format.extent | 10 | es |
dc.publication.initialPage | 61 | es |
dc.publication.endPage | 70 | es |
dc.eventtitle | IWCIA 2015: 17th International Workshop on Combinatorial Image Analysis | es |
dc.eventinstitution | Kolkata, India | es |
dc.relation.publicationplace | Berlin | es |