{"id":"https://openalex.org/W2513300417","doi":"https://doi.org/10.1109/icip.2016.7533018","title":"Eye gaze analysis and learning-to-rank to obtain the most preferred result in image inpainting","display_name":"Eye gaze analysis and learning-to-rank to obtain the most preferred result in image inpainting","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2513300417","doi":"https://doi.org/10.1109/icip.2016.7533018","mag":"2513300417"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5029572039","display_name":"Mariko Isogawa","orcid":"https://orcid.org/0000-0001-9560-0276"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mariko Isogawa","raw_affiliation_strings":["NTT Media Intelligence Laboratories, Yokosuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories, Yokosuka, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056398983","display_name":"Dan Mikami","orcid":"https://orcid.org/0000-0002-6738-4761"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dan Mikami","raw_affiliation_strings":["NTT Media Intelligence Laboratories, Yokosuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories, Yokosuka, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038138281","display_name":"Kosuke Takahashi","orcid":"https://orcid.org/0000-0003-2361-5043"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kosuke Takahashi","raw_affiliation_strings":["NTT Media Intelligence Laboratories, Yokosuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories, Yokosuka, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050970490","display_name":"Akira Kojima","orcid":"https://orcid.org/0000-0002-8769-7212"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Kojima","raw_affiliation_strings":["NTT Media Intelligence Laboratories, Yokosuka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Media Intelligence Laboratories, Yokosuka, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1831,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.85444642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"9120","issue":null,"first_page":"3538","last_page":"3542"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9939000010490417,"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":0.9836000204086304,"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/inpainting","display_name":"Inpainting","score":0.9852814674377441},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.760159969329834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6673765778541565},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6471486687660217},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6149412989616394},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.5907450914382935},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5906336903572083},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.583551287651062},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5013468265533447},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.46047842502593994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4107036590576172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3689078092575073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2607126533985138},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15255427360534668},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07959458231925964}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9852814674377441},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.760159969329834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6673765778541565},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6471486687660217},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6149412989616394},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.5907450914382935},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5906336903572083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.583551287651062},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5013468265533447},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46047842502593994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4107036590576172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3689078092575073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2607126533985138},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15255427360534668},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07959458231925964},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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":1,"locations":[{"id":"doi:10.1109/icip.2016.7533018","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W69834426","https://openalex.org/W1981944020","https://openalex.org/W1985249123","https://openalex.org/W2001208767","https://openalex.org/W2046863527","https://openalex.org/W2050384301","https://openalex.org/W2054366734","https://openalex.org/W2057016804","https://openalex.org/W2078288556","https://openalex.org/W2097614539","https://openalex.org/W2100470808","https://openalex.org/W2105038642","https://openalex.org/W2105842272","https://openalex.org/W2110319388","https://openalex.org/W2113636985","https://openalex.org/W2133665775","https://openalex.org/W2146103513","https://openalex.org/W2147150922","https://openalex.org/W2233012916","https://openalex.org/W2988119488","https://openalex.org/W6675783020","https://openalex.org/W6681540540","https://openalex.org/W6843799803"],"related_works":["https://openalex.org/W2017457812","https://openalex.org/W3178025616","https://openalex.org/W2060947339","https://openalex.org/W2131831293","https://openalex.org/W2946160871","https://openalex.org/W3035059915","https://openalex.org/W1995073329","https://openalex.org/W425542480","https://openalex.org/W49967185","https://openalex.org/W2107727507"],"abstract_inverted_index":{"This":[0,79],"paper":[1],"proposes":[2],"a":[3,20,59,83,92,96,144],"method":[4,49,70,131,184],"that":[5,41,74,157,182],"blindly":[6],"predicts":[7],"preference":[8,111,145,187],"order":[9,146,161,188],"between":[10],"inpainted":[11],"images,":[12],"aiming":[13],"at":[14],"selecting":[15],"the":[16,42,48,54,68,72,76,101,134,186],"best":[17,77,102],"one":[18],"from":[19,113],"plurality":[21],"of":[22,86,123],"results.":[23],"Image":[24],"inpainting,":[25],"which":[26],"removes":[27],"unwanted":[28],"regions":[29],"and":[30,53,71,88,153],"restores":[31],"them,":[32],"has":[33],"attracted":[34],"recent":[35,120],"attention.":[36,173],"However,":[37],"it":[38],"is":[39,91,143],"known":[40],"inpainting":[43,52,69],"result":[44],"varies":[45],"largely":[46],"with":[47,175,189],"used":[50],"for":[51,95,160],"parameters":[55],"set.":[56],"Thus,":[57],"in":[58,119],"typical":[60],"use":[61],"case,":[62],"users":[63],"need":[64,94,142],"to":[65,98],"manually":[66],"select":[67],"parameter":[73],"yields":[75],"one.":[78],"manual":[80],"selection":[81],"takes":[82],"great":[84,93],"deal":[85],"time":[87],"thus":[89],"there":[90],"way":[97],"automatically":[99],"estimate":[100],"result.":[103],"Although":[104],"some":[105],"methods,":[106],"such":[107],"as":[108],"estimating":[109],"perceptual":[110],"score":[112],"image":[114,158,177],"features,":[115],"have":[116],"been":[117],"proposed":[118],"years,":[121],"none":[122],"them":[124],"are":[125],"considered":[126],"very":[127],"promising":[128],"approaches.":[129],"Our":[130],"focuses":[132],"on":[133],"following":[135],"two":[136],"points:":[137],"(1)":[138],"what":[139],"we":[140,155],"essentially":[141],"relation":[147],"rather":[148],"than":[149],"an":[150],"absolute":[151],"score,":[152],"(2)":[154],"consider":[156],"features":[159],"estimation":[162],"can":[163],"be":[164],"effectively":[165],"designed":[166],"by":[167],"using":[168],"actually":[169],"measured":[170],"human":[171],"visual":[172],"Comparison":[174],"other":[176],"quality":[178],"assessment":[179],"methods":[180],"shows":[181],"our":[183],"estimates":[185],"high":[190],"accuracy.":[191]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}