Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/28063
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWalber, Tinaen_UK
dc.contributor.authorNeuhaus, Chantalen_UK
dc.contributor.authorScherp, Ansgaren_UK
dc.date.accessioned2018-11-06T14:37:47Z-
dc.date.available2018-11-06T14:37:47Z-
dc.date.issued2014-12-31en_UK
dc.identifier.urihttp://hdl.handle.net/1893/28063-
dc.description.abstractLabelled image regions provide very valuable information that can be used in different settings such as image search. The manual creation of region labels is a tedious task. Fully automatic approaches lack understanding the image content sufficiently due to the huge variety of depicted objects. Our approach benefits from the expected spread of eye tracking hardware and uses gaze information obtained from users performing image search tasks to automatically label image regions. This allows to exploit the human capabilities regarding the visual perception of image content while performing daily routine tasks. In an experiment with 23 participants, we show that it is possible to assign search terms to photo regions by means of gaze analysis with an average precision of 0.56 and an average F-measure of 0.38 over 361 photos. The participants performed different search tasks while their gaze was recorded. The results of the experiment show that the gaze-based approach performs significantly better than a baseline approach based on saliency maps.en_UK
dc.language.isoenen_UK
dc.publisherACMen_UK
dc.relationWalber T, Neuhaus C & Scherp A (2014) Tagging-by-search: Automatic image region labeling using gaze information obtained from image search. In: Proceedings of the 19th international conference on Intelligent User Interfaces (IUI '14). 19th International Conference on Intelligent User Interfaces (IUI '14), Haifa, Israel, 24.02.2014-27.02.2014. New York: ACM, pp. 257-266. https://doi.org/10.1145/2557500.2557517en_UK
dc.rightsThe 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.subjectRegion labellingen_UK
dc.subjectimage searchen_UK
dc.subjectimplicit user feedbacken_UK
dc.subjecteye trackingen_UK
dc.titleTagging-by-search: Automatic image region labeling using gaze information obtained from image searchen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2999-12-31en_UK
dc.rights.embargoreason[Walber et al 2014.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.doi10.1145/2557500.2557517en_UK
dc.citation.jtitleInternational Conference on Intelligent User Interfaces, Proceedings IUIen_UK
dc.citation.spage257en_UK
dc.citation.epage266en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailansgar.scherp@stir.ac.uken_UK
dc.citation.btitleProceedings of the 19th international conference on Intelligent User Interfaces (IUI '14)en_UK
dc.citation.conferencedates2014-02-24 - 2014-02-27en_UK
dc.citation.conferencelocationHaifa, Israelen_UK
dc.citation.conferencename19th International Conference on Intelligent User Interfaces (IUI '14)en_UK
dc.citation.isbn9781450321846en_UK
dc.publisher.addressNew Yorken_UK
dc.contributor.affiliationUniversity of Koblenz-Landauen_UK
dc.contributor.affiliationUniversity of Koblenz-Landauen_UK
dc.contributor.affiliationUniversity of Kielen_UK
dc.identifier.scopusid2-s2.0-84897769193en_UK
dc.identifier.wtid1007309en_UK
dc.contributor.orcid0000-0002-2653-9245en_UK
dc.date.accepted2013-12-04en_UK
dc.date.firstcompliantdepositdate2018-10-22en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

Files in This Item:
File Description SizeFormat 
Walber et al 2014.pdfFulltext - Published Version2.67 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.

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.