{"id":"https://openalex.org/W2569167359","doi":"https://doi.org/10.1109/ivcnz.2016.7804420","title":"A dynamic feature map integration approach for predicting human fixation","display_name":"A dynamic feature map integration approach for predicting human fixation","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2569167359","doi":"https://doi.org/10.1109/ivcnz.2016.7804420","mag":"2569167359"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2016.7804420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2016.7804420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)","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/A5044086501","display_name":"Ibrahim M. H. Rahman","orcid":"https://orcid.org/0000-0003-1796-4650"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Ibrahim M. H. Rahman","raw_affiliation_strings":["School of Engineering and Computer Science Victoria, University of Wellington, Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science Victoria, University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052608998","display_name":"Christopher Hollitt","orcid":"https://orcid.org/0000-0002-4613-7964"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Christopher Hollitt","raw_affiliation_strings":["School of Engineering and Computer Science Victoria, University of Wellington, Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science Victoria, University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mengjie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["School of Engineering and Computer Science Victoria, University of Wellington, Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science Victoria, University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044086501"],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1525781,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":1.0,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9872999787330627,"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/feature","display_name":"Feature (linguistics)","score":0.7481144666671753},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7125248908996582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7100083827972412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.671273410320282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5637075304985046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3601929545402527}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7481144666671753},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7125248908996582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100083827972412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.671273410320282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5637075304985046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3601929545402527},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz.2016.7804420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2016.7804420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1987076269","https://openalex.org/W2029542081","https://openalex.org/W2029732267","https://openalex.org/W2037954058","https://openalex.org/W2080995863","https://openalex.org/W2106848651","https://openalex.org/W2123118847","https://openalex.org/W2128272608","https://openalex.org/W2128919627","https://openalex.org/W2133858838","https://openalex.org/W2145227859","https://openalex.org/W2153839765","https://openalex.org/W2161185676","https://openalex.org/W2161969291","https://openalex.org/W2167403408","https://openalex.org/W2283863529","https://openalex.org/W2294677060","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W4212883601","https://openalex.org/W4239147634","https://openalex.org/W4298304654"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4388913932","https://openalex.org/W4309130263","https://openalex.org/W2138022083","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0,86],"computational":[1],"visual":[2],"attention":[3],"systems,":[4],"various":[5],"feature":[6,45,74,91,118,135,151,161,177],"maps":[7,19,75,92,119,162,178],"are":[8,27,76],"constructed":[9],"and":[10,169],"integrated":[11],"to":[12,31,35,157,163],"yield":[13],"the":[14,47,90,97,104],"final":[15],"fixation":[16,166],"map.":[17],"These":[18],"highlight":[20],"interesting":[21],"regions":[22],"within":[23],"an":[24],"image":[25,102,121],"that":[26,143,172],"deemed":[28],"salient":[29],"according":[30],"some":[32],"task.":[33],"According":[34],"Ehinger":[36],"et":[37],"al.":[38],"[1],":[39],"by":[40,174],"combining":[41],"three":[42,73],"types":[43],"of":[44,53,115,133,149],"maps,":[46],"performance":[48,84,99],"is":[49,65,126,155],"boosted":[50],"in":[51,82,103,107],"terms":[52],"predicting":[54],"where":[55],"human":[56],"fixate":[57],"when":[58,144],"searching":[59],"for":[60,78,100],"pedestrians.":[61],"Although":[62],"this":[63,108],"procedure":[64],"effective,":[66],"it":[67,154],"lacks":[68],"a":[69,112,130,134,138,146,150],"dynamic":[70,113],"approach.":[71],"All":[72],"computed":[77],"each":[79,101],"image,":[80],"resulting":[81],"efficiency":[83,170],"degradation.":[85],"addition,":[87],"combing":[88],"all":[89,176],"does":[93],"not":[94],"always":[95],"give":[96],"optimum":[98],"dataset.":[105],"Hence,":[106],"paper,":[109],"we":[110],"propose":[111],"way":[114],"integrating":[116,175],"these":[117],"on":[120],"basis.":[122],"Our":[123],"proposed":[124],"approach":[125],"based":[127],"upon":[128],"estimating":[129,145],"quality":[131,147],"score":[132,148],"map":[136,152],"using":[137],"regression":[139],"model.":[140],"We":[141],"show":[142],"accurately,":[153],"possible":[156],"dynamically":[158],"select":[159],"appropriate":[160],"achieve":[164],"better":[165],"prediction":[167],"accuracy":[168],"than":[171],"achieved":[173],"[1].":[179]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}