{"id":"https://openalex.org/W2015888549","doi":"https://doi.org/10.1145/2557500.2557517","title":"Tagging-by-search","display_name":"Tagging-by-search","publication_year":2014,"publication_date":"2014-02-18","ids":{"openalex":"https://openalex.org/W2015888549","doi":"https://doi.org/10.1145/2557500.2557517","mag":"2015888549"},"language":"en","primary_location":{"id":"doi:10.1145/2557500.2557517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2557500.2557517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th international conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035698746","display_name":"Tina Walber","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tina Walber","raw_affiliation_strings":["Institute WeST, Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"Institute WeST, Koblenz, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030594791","display_name":"Chantal Neuhaus","orcid":null},"institutions":[{"id":"https://openalex.org/I16264642","display_name":"Koblenz University of Applied Sciences","ror":"https://ror.org/04j351e79","country_code":"DE","type":"education","lineage":["https://openalex.org/I16264642"]},{"id":"https://openalex.org/I4387153937","display_name":"Universit\u00e4t Koblenz","ror":"https://ror.org/0433e6t24","country_code":null,"type":"education","lineage":["https://openalex.org/I4387153937"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Chantal Neuhaus","raw_affiliation_strings":["University of Koblenz, Koblenz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Koblenz, Koblenz, Germany","institution_ids":["https://openalex.org/I16264642","https://openalex.org/I4387153937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005533034","display_name":"Ansgar Scherp","orcid":"https://orcid.org/0000-0002-2653-9245"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Kiel University","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ansgar Scherp","raw_affiliation_strings":["Kiel University, Kiel, Germany"],"affiliations":[{"raw_affiliation_string":"Kiel University, Kiel, Germany","institution_ids":["https://openalex.org/I32021983"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035698746"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.087267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8065041303634644},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.7373249530792236},{"id":"https://openalex.org/keywords/visual-search","display_name":"Visual search","score":0.7020437717437744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6629658937454224},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6344869136810303},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6304172277450562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5924580097198486},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.5862355828285217},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5344891548156738},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5011539459228516},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41291433572769165},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33970633149147034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065041303634644},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7373249530792236},{"id":"https://openalex.org/C158495155","wikidata":"https://www.wikidata.org/wiki/Q2369151","display_name":"Visual search","level":2,"score":0.7020437717437744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6629658937454224},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6344869136810303},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6304172277450562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5924580097198486},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.5862355828285217},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5344891548156738},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5011539459228516},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41291433572769165},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33970633149147034},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2557500.2557517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2557500.2557517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th international conference on Intelligent User Interfaces","raw_type":"proceedings-article"},{"id":"pmh:oai:pub.zbw.eu:11108/173","is_oa":false,"landing_page_url":"http://hdl.handle.net/11108/173","pdf_url":null,"source":{"id":"https://openalex.org/S4306402552","display_name":"ZBW Publication Archive (ZBW \u2013 Leibniz Information Centre for Economics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800024560","host_organization_name":"ZBW \u2013 Leibniz-Informationszentrum Wirtschaft","host_organization_lineage":["https://openalex.org/I2800024560"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"doc-type:conferenceObject"},{"id":"pmh:oai:dspace.stir.ac.uk:1893/28063","is_oa":false,"landing_page_url":"http://hdl.handle.net/1893/28063","pdf_url":null,"source":{"id":"https://openalex.org/S4306400268","display_name":"Stirling Online Research Repository (University of Stirling)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12093191","host_organization_name":"University of Stirling","host_organization_lineage":["https://openalex.org/I12093191"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W29987081","https://openalex.org/W1962545434","https://openalex.org/W1965043025","https://openalex.org/W1965113148","https://openalex.org/W1979038477","https://openalex.org/W2007781251","https://openalex.org/W2020150327","https://openalex.org/W2032165333","https://openalex.org/W2037227137","https://openalex.org/W2065570765","https://openalex.org/W2078967485","https://openalex.org/W2079985947","https://openalex.org/W2080942732","https://openalex.org/W2093773992","https://openalex.org/W2100618994","https://openalex.org/W2110158442","https://openalex.org/W2110764733","https://openalex.org/W2125771191","https://openalex.org/W2128272608","https://openalex.org/W2134071202","https://openalex.org/W2137361112","https://openalex.org/W2141303268","https://openalex.org/W2144473577","https://openalex.org/W2144952090","https://openalex.org/W2152314154","https://openalex.org/W2155840072","https://openalex.org/W2159680539","https://openalex.org/W2164598857","https://openalex.org/W2172091789","https://openalex.org/W2211223276","https://openalex.org/W4300939912"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W2765261366","https://openalex.org/W4311735607","https://openalex.org/W4377007848","https://openalex.org/W2161294397","https://openalex.org/W2012644758","https://openalex.org/W33281282"],"abstract_inverted_index":{"Labeled":[0],"image":[1,16,34,64,70,84],"regions":[2,109],"provide":[3],"very":[4],"valuable":[5],"information":[6,59],"that":[7,99,147],"can":[8],"be":[9],"used":[10],"in":[11],"different":[12,133],"settings":[13],"such":[14],"as":[15],"search.":[17],"The":[18,130,141],"manual":[19],"creation":[20],"of":[21,42,52,83,112,119,125,143],"region":[22],"labels":[23],"is":[24,101],"a":[25,155],"tedious":[26],"task.":[27],"Fully":[28],"automatic":[29],"approaches":[30],"lack":[31],"understanding":[32],"the":[33,39,49,76,80,144,148],"content":[35,85],"sufficiently":[36],"due":[37],"to":[38,67,74,103,107],"huge":[40],"variety":[41],"depicted":[43],"objects.":[44],"Our":[45],"approach":[46,150,157],"benefits":[47],"from":[48,61],"expected":[50],"spread":[51],"eye":[53],"tracking":[54],"hardware":[55],"and":[56,121],"uses":[57],"gaze":[58,113,138],"obtained":[60],"users":[62],"performing":[63,87],"search":[65,105,134],"tasks":[66,135],"automatically":[68],"label":[69],"regions.":[71],"This":[72],"allows":[73],"exploit":[75],"human":[77],"capabilities":[78],"regarding":[79],"visual":[81],"perception":[82],"while":[86,136],"daily":[88],"routine":[89],"tasks.":[90],"In":[91],"an":[92,116,122],"experiment":[93,145],"with":[94,115],"23":[95],"participants,":[96],"we":[97],"show":[98,146],"it":[100],"possible":[102],"assign":[104],"terms":[106],"photo":[108],"by":[110],"means":[111],"analysis":[114],"average":[117,123],"precision":[118],"0.56":[120],"F-measure":[124],"0.38":[126],"over":[127],"361":[128],"photos.":[129],"participants":[131],"performed":[132],"their":[137],"was":[139],"recorded.":[140],"results":[142],"gaze-based":[149],"performs":[151],"significantly":[152],"better":[153],"than":[154],"baseline":[156],"based":[158],"on":[159],"saliency":[160],"maps.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}