Local picture-repetition mode detector for video de-interlacing

The de-interlacing of video material converted from film can be perfect, provided it is possible to recognize the field-pairs that originate from the same film image. Various so-called film-detectors have been proposed for this purpose, mainly in the patent-literature. Typically, these detectors fai...

Descripción completa

Detalles Bibliográficos
Autores: Brox Jiménez, Piedad, Woestenberg, L., Haan, G. de
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2007
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/76065
Acceso en línea:https://hdl.handle.net/11441/76065
https://doi.org/10.1109/TCE.2007.4429265
Access Level:acceso abierto
Palabra clave:Picture-repetition Mode Detection
Video De- interlacing
Pull Down
Video Signal Processing
Fuzzy Inference Systems
id ES_7431c8d5d3a50d2bbca727773c729e3c
oai_identifier_str oai:idus.us.es:11441/76065
network_acronym_str ES
network_name_str España
repository_id_str
spelling Local picture-repetition mode detector for video de-interlacingBrox Jiménez, PiedadWoestenberg, L.Haan, G. dePicture-repetition Mode DetectionVideo De- interlacingPull DownVideo Signal ProcessingFuzzy Inference SystemsThe de-interlacing of video material converted from film can be perfect, provided it is possible to recognize the field-pairs that originate from the same film image. Various so-called film-detectors have been proposed for this purpose, mainly in the patent-literature. Typically, these detectors fail in cases where video overlays are merged with film material, or when nonstandard repetition patterns are used. Both problems occur frequently in television broadcast. For these hybrid and/or irregular cases, we propose a detector that can detect different picture-repetition patterns locally in the image. This detector combines fuzzy logic rules and spatio-temporal prediction to arrive at a highly robust decision signal, suitable for pixel-accurate de-interlacing of hybrid and irregular video material. In addition to an evaluation of the performance, the paper also provides a complexity analysis.Institute of Electrical and Electronics EngineersElectrónica y Electromagnetismo2007info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/76065https://doi.org/10.1109/TCE.2007.4429265reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésIEEE Transactions on Consumer Electronics, 53 (4), 1647-1655.http://dx.doi.org/10.1109/TCE.2007.4429265info:eu-repo/semantics/openAccessoai:idus.us.es:11441/760652026-06-17T12:51:07Z
dc.title.none.fl_str_mv Local picture-repetition mode detector for video de-interlacing
title Local picture-repetition mode detector for video de-interlacing
spellingShingle Local picture-repetition mode detector for video de-interlacing
Brox Jiménez, Piedad
Picture-repetition Mode Detection
Video De- interlacing
Pull Down
Video Signal Processing
Fuzzy Inference Systems
title_short Local picture-repetition mode detector for video de-interlacing
title_full Local picture-repetition mode detector for video de-interlacing
title_fullStr Local picture-repetition mode detector for video de-interlacing
title_full_unstemmed Local picture-repetition mode detector for video de-interlacing
title_sort Local picture-repetition mode detector for video de-interlacing
dc.creator.none.fl_str_mv Brox Jiménez, Piedad
Woestenberg, L.
Haan, G. de
author Brox Jiménez, Piedad
author_facet Brox Jiménez, Piedad
Woestenberg, L.
Haan, G. de
author_role author
author2 Woestenberg, L.
Haan, G. de
author2_role author
author
dc.contributor.none.fl_str_mv Electrónica y Electromagnetismo
dc.subject.none.fl_str_mv Picture-repetition Mode Detection
Video De- interlacing
Pull Down
Video Signal Processing
Fuzzy Inference Systems
topic Picture-repetition Mode Detection
Video De- interlacing
Pull Down
Video Signal Processing
Fuzzy Inference Systems
description The de-interlacing of video material converted from film can be perfect, provided it is possible to recognize the field-pairs that originate from the same film image. Various so-called film-detectors have been proposed for this purpose, mainly in the patent-literature. Typically, these detectors fail in cases where video overlays are merged with film material, or when nonstandard repetition patterns are used. Both problems occur frequently in television broadcast. For these hybrid and/or irregular cases, we propose a detector that can detect different picture-repetition patterns locally in the image. This detector combines fuzzy logic rules and spatio-temporal prediction to arrive at a highly robust decision signal, suitable for pixel-accurate de-interlacing of hybrid and irregular video material. In addition to an evaluation of the performance, the paper also provides a complexity analysis.
publishDate 2007
dc.date.none.fl_str_mv 2007
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/76065
https://doi.org/10.1109/TCE.2007.4429265
url https://hdl.handle.net/11441/76065
https://doi.org/10.1109/TCE.2007.4429265
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv IEEE Transactions on Consumer Electronics, 53 (4), 1647-1655.
http://dx.doi.org/10.1109/TCE.2007.4429265
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410877383376896
score 15.301603