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dc.contributor.authorLahtinen, Tuomo
dc.contributor.authorTurtiainen, Hannu
dc.contributor.authorCostin, Andrei
dc.date.accessioned2021-07-28T10:23:17Z
dc.date.available2021-07-28T10:23:17Z
dc.date.issued2021
dc.identifier.citationLahtinen, T., Turtiainen, H., & Costin, A. (2021). BRIMA : Low-Overhead Browser-Only Image Annotation Tool. In <i>ICIP 2021 : Proceedings of the 28th IEEE International Conference on Image Processing</i> (pp. 2633-2637). IEEE. Proceedings : International Conference on Image Processing. <a href="https://doi.org/10.1109/icip42928.2021.9506683" target="_blank">https://doi.org/10.1109/icip42928.2021.9506683</a>
dc.identifier.otherCONVID_99027000
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/77230
dc.description.abstractImage annotation and large annotated datasets are crucial parts within the Computer Vision and Artificial Intelligence fields. At the same time, it is well-known and acknowledged by the research community that the image annotation process is challenging, time-consuming and hard to scale. Therefore, the researchers and practitioners are always seeking ways to perform the annotations easier, faster, and at higher quality. Even though several widely used tools exist and the tools’ landscape evolved considerably, most of the tools still require intricate technical setups and high levels of technical savviness from its operators and crowdsource contributors.In order to address such challenges, we develop and present BRIMA – a flexible and open-source browser extension that allows BRowser-only IMage Annotation at considerably lower overheads. Once added to the browser, it instantly allows the user to annotate images easily and efficiently directly from the browser without any installation or setup on the client-side. It also features cross-browser and cross-platform functionality thus presenting itself as a neat tool for researchers within the Computer Vision, Artificial Intelligence, and privacy-related fields.en
dc.format.extent3926
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofICIP 2021 : Proceedings of the 28th IEEE International Conference on Image Processing
dc.relation.ispartofseriesProceedings : International Conference on Image Processing
dc.rightsIn Copyright
dc.subject.otherimage annotation
dc.subject.otherannotation tool
dc.subject.othercrowdsource annotation
dc.subject.otherimage dataset generation
dc.subject.otherCOCO
dc.titleBRIMA : Low-Overhead Browser-Only Image Annotation Tool
dc.typeconference paper
dc.identifier.urnURN:NBN:fi:jyu-202107284401
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.relation.isbn978-1-6654-3102-6
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2633-2637
dc.relation.issn1522-4880
dc.type.versiondraft
dc.rights.copyright© 2021 IEEE
dc.rights.accesslevelopenAccessfi
dc.type.publicationconferenceObject
dc.relation.conferenceIEEE International Conference on Image Processing
dc.subject.ysoannotointi
dc.subject.ysohahmontunnistus (tietotekniikka)
dc.subject.ysokonenäkö
dc.subject.ysoselaimet
dc.subject.ysokuvat
dc.subject.ysojoukkoistaminen
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p24094
jyx.subject.urihttp://www.yso.fi/onto/yso/p8266
jyx.subject.urihttp://www.yso.fi/onto/yso/p2618
jyx.subject.urihttp://www.yso.fi/onto/yso/p8440
jyx.subject.urihttp://www.yso.fi/onto/yso/p1149
jyx.subject.urihttp://www.yso.fi/onto/yso/p25552
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/icip42928.2021.9506683
jyx.fundinginformationAuthors acknowledge grants of computer capacity from the Finnish Grid and Cloud Infrastructure (FGCI) (persistent identifier urn:nbn:fi:research-infras-2016072533). Part of this research was kindly supported by the “Decision of the Research Dean on research funding within the Faculty (17.06.2020)” (the grant from Faculty of Information was facilitated and managed by Dr. Andrei Costin). Hannu Turtiainen also thanks The Finnish Cultural Foundation / Suomen Kulttuurirahasto (https://skr.fi/en) for supporting his Ph.D. research (grant decision 00211119), and The Faculty of Information Technology, in particular Prof. Timo Hamäläinen, for partly supporting his Ph.D. supervission at JYU in 2021.
dc.type.okmA4


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