Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/31892
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCompanioni-Brito, Claudiaen_UK
dc.contributor.authorElawady, Mohameden_UK
dc.contributor.authorYildirim, Suleen_UK
dc.contributor.authorHardeberg, Jon Yngveen_UK
dc.contributor.editorMansouri, Alaminen_UK
dc.contributor.editorEl Moataz, Abderrahimen_UK
dc.contributor.editorNouboud, Fathallahen_UK
dc.contributor.editorMammass, Drissen_UK
dc.date.accessioned2020-11-03T02:07:15Z-
dc.date.available2020-11-03T02:07:15Z-
dc.date.issued2018en_UK
dc.identifier.urihttp://hdl.handle.net/1893/31892-
dc.description.abstractTextual keywords have been used in the early stages for image retrieval systems. Due to the huge increase of image content, an image is efficiently used instead according to the time computation. Deciding powerful feature representations are the important factors for the retrieval performance of a content-based image retrieval (CBIR) system. In this work, we present a combined feature representation based on handcrafted and deep approaches, to categorize editorial images into six classes (athletics, football, indoor, outdoor, portrait, ski). The experimental results show the superior performance of the combined features among different editorial classes.en_UK
dc.language.isoenen_UK
dc.publisherSpringer International Publishingen_UK
dc.relationCompanioni-Brito C, Elawady M, Yildirim S & Hardeberg JY (2018) Editorial Image Retrieval Using Handcrafted and CNN Features. In: Mansouri A, El Moataz A, Nouboud F & Mammass D (eds.) Image and Signal Processing. Lecture Notes in Computer Science, 10884. ICISP 2018: International Conference on Image and Signal Processing, Cherbourg, France, 02.07.2018-04.07.2018. Cham, Switzerland: Springer International Publishing, pp. 284-291. https://doi.org/10.1007/978-3-319-94211-7_31en_UK
dc.relation.ispartofseriesLecture Notes in Computer Science, 10884en_UK
dc.rights[Chapter-2018.pdf] The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights[Accepted_Version.pdf] This is a post-peer-review, pre-copyedit version of a paper published in Mansouri A, El Moataz A, Nouboud F & Mammass D (eds.) Image and Signal Processing. Lecture Notes in Computer Science, 10884. ICISP 2018: International Conference on Image and Signal Processing, Cherbourg, France, 02.07.2018-04.07.2018. Cham, Switzerland: Springer International Publishing, pp. 284-291. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-94211-7_31en_UK
dc.rights.urihttps://storre.stir.ac.uk/STORREEndUserLicence.pdfen_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectImage featuresen_UK
dc.subjectSimilarityen_UK
dc.subjectCBIRen_UK
dc.subjectCNNen_UK
dc.subjectLBPen_UK
dc.subjectBoVWen_UK
dc.titleEditorial Image Retrieval Using Handcrafted and CNN Featuresen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2021-06-29en_UK
dc.rights.embargoreason[Chapter-2018.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1007/978-3-319-94211-7_31en_UK
dc.citation.issn0302-9743en_UK
dc.citation.spage284en_UK
dc.citation.epage291en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.type.statusVoR - Version of Recorden_UK
dc.citation.btitleImage and Signal Processingen_UK
dc.citation.conferencedates2018-07-02 - 2018-07-04en_UK
dc.citation.conferencelocationCherbourg, Franceen_UK
dc.citation.conferencenameICISP 2018: International Conference on Image and Signal Processingen_UK
dc.citation.date30/06/2018en_UK
dc.citation.isbn9783319942100en_UK
dc.citation.isbn9783319942117en_UK
dc.publisher.addressCham, Switzerlanden_UK
dc.contributor.affiliationNorwegian University of Science And Technology (NTNU)en_UK
dc.contributor.affiliationUniversite Lyon, Franceen_UK
dc.contributor.affiliationNorwegian University of Science And Technology (NTNU)en_UK
dc.contributor.affiliationNorwegian University of Science And Technology (NTNU)en_UK
dc.identifier.wtid1658273en_UK
dc.contributor.orcid0000-0002-4930-3825en_UK
dc.date.accepted2018-04-01en_UK
dcterms.dateAccepted2018-04-01en_UK
dc.date.filedepositdate2020-11-02en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorCompanioni-Brito, Claudia|en_UK
local.rioxx.authorElawady, Mohamed|0000-0002-4930-3825en_UK
local.rioxx.authorYildirim, Sule|en_UK
local.rioxx.authorHardeberg, Jon Yngve|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.contributorMansouri, Alamin|en_UK
local.rioxx.contributorEl Moataz, Abderrahim|en_UK
local.rioxx.contributorNouboud, Fathallah|en_UK
local.rioxx.contributorMammass, Driss|en_UK
local.rioxx.freetoreaddate2268-05-31en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameChapter-2018.pdfen_UK
local.rioxx.filecount2en_UK
local.rioxx.source9783319942117en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

Files in This Item:
File Description SizeFormat 
Accepted_Version.pdfFulltext - Accepted Version967.69 kBAdobe PDFView/Open
Chapter-2018.pdfFulltext - Published Version3.3 MBAdobe PDFUnder Permanent Embargo    Request a copy


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.