dc.contributor.author | Brito, Claudia Companioni | |
dc.contributor.author | Elawady, Mohamed | |
dc.contributor.author | Yildirim, Sule | |
dc.contributor.author | Hardeberg, Jon Yngve | |
dc.date.accessioned | 2019-09-04T07:47:09Z | |
dc.date.available | 2019-09-04T07:47:09Z | |
dc.date.created | 2018-04-17T09:18:51Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Lecture Notes in Computer Science. 2018, 10884 LNCS 284-291. | nb_NO |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/11250/2612365 | |
dc.description.abstract | Textual 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. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Springer Verlag | nb_NO |
dc.title | Editorial Image Retrieval using Handcrafted and CNN Features | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 284-291 | nb_NO |
dc.source.volume | 10884 LNCS | nb_NO |
dc.source.journal | Lecture Notes in Computer Science | nb_NO |
dc.identifier.doi | 10.1007/978-3-319-94211-7_31 | |
dc.identifier.cristin | 1579683 | |
dc.description.localcode | This is a post-peer-review, pre-copyedit version of an article published in [Lecture Notes in Computer Science]. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-94211-7_31 | nb_NO |
cristin.unitcode | 194,63,30,0 | |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for informasjonssikkerhet og kommunikasjonsteknologi | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |