{"id":"https://openalex.org/W3023876191","doi":"https://doi.org/10.1109/lifetech48969.2020.1570619124","title":"Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA","display_name":"Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3023876191","doi":"https://doi.org/10.1109/lifetech48969.2020.1570619124","mag":"3023876191"},"language":"en","primary_location":{"id":"doi:10.1109/lifetech48969.2020.1570619124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech48969.2020.1570619124","pdf_url":null,"source":{"id":"https://openalex.org/S4306498653","display_name":"2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)","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/A5087595074","display_name":"M. Matsumoto","orcid":"https://orcid.org/0000-0002-6531-9907"},"institutions":[{"id":"https://openalex.org/I159165171","display_name":"Hokkaido Information University","ror":"https://ror.org/00nyxpe17","country_code":"JP","type":"education","lineage":["https://openalex.org/I159165171"]},{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanao Matsumoto","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Hokkaido, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Hokkaido, Japan","institution_ids":["https://openalex.org/I159165171","https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103129627","display_name":"Naoki Saito","orcid":"https://orcid.org/0000-0001-7611-2461"},"institutions":[{"id":"https://openalex.org/I4210131518","display_name":"National Institute of Technology, Kushiro College","ror":"https://ror.org/03twzfb97","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210120810","https://openalex.org/I4210131518"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoki Saito","raw_affiliation_strings":["Department of Creative Engineering, National Institute of Technology, Kushiro College, Hokkaido, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Creative Engineering, National Institute of Technology, Kushiro College, Hokkaido, Japan","institution_ids":["https://openalex.org/I4210131518"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University, Hokkaido, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University, Hokkaido, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1638,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45690789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9986000061035156,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.9927999973297119,"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/locality","display_name":"Locality","score":0.7864961624145508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7805110812187195},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7708197832107544},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.7237693667411804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7071329951286316},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5923919081687927},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5366465449333191},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.49289560317993164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47113531827926636},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.4641021490097046},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.43852007389068604}],"concepts":[{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.7864961624145508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7805110812187195},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7708197832107544},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7237693667411804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7071329951286316},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5923919081687927},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5366465449333191},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.49289560317993164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47113531827926636},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.4641021490097046},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.43852007389068604},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lifetech48969.2020.1570619124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech48969.2020.1570619124","pdf_url":null,"source":{"id":"https://openalex.org/S4306498653","display_name":"2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W108816716","https://openalex.org/W2025341678","https://openalex.org/W2033823371","https://openalex.org/W2046589280","https://openalex.org/W2083095455","https://openalex.org/W2089468765","https://openalex.org/W2117651526","https://openalex.org/W2119821739","https://openalex.org/W2144719328","https://openalex.org/W2469486851","https://openalex.org/W2798322248","https://openalex.org/W3009067269","https://openalex.org/W4239510810","https://openalex.org/W6604368413"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W1565185441","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W1968846550","https://openalex.org/W302711736","https://openalex.org/W3207760378","https://openalex.org/W2161294397","https://openalex.org/W2012644758"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"new":[4],"method":[5,18],"to":[6,27],"realize":[7],"estimation":[8,51],"performance":[9],"improvement":[10],"of":[11,59,70],"user-specific":[12],"interests":[13,34],"for":[14,49,66],"images.":[15],"The":[16],"proposed":[17],"computes":[19],"projections":[20,47],"which":[21],"transform":[22],"visual":[23],"and":[24,57],"text":[25],"features":[26,30],"eye":[28],"gaze-based":[29],"that":[31],"reflect":[32],"user's":[33],"by":[35,52],"utilizing":[36],"discriminative":[37],"locality":[38,58],"preserving":[39],"canonical":[40],"correlation":[41],"analysis":[42],"(DLPCCA).":[43],"DLPCCA":[44],"can":[45],"calculate":[46],"suitable":[48],"interest":[50],"considering":[53],"the":[54,68],"class":[55],"information":[56],"data":[60],"structure.":[61],"Experimental":[62],"results":[63],"are":[64],"shown":[65],"verifying":[67],"effectiveness":[69],"our":[71],"method.":[72]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
