{"id":"https://openalex.org/W2913099704","doi":"https://doi.org/10.1109/ivcnz.2018.8634726","title":"Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection","display_name":"Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2913099704","doi":"https://doi.org/10.1109/ivcnz.2018.8634726","mag":"2913099704"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2018.8634726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2018.8634726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5070410806","display_name":"Shima Afzali","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":true,"raw_author_name":"Shima Afzali","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040232737","display_name":"Harith Al-Sahaf","orcid":"https://orcid.org/0000-0003-4633-6135"},"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":"Harith Al-Sahaf","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077569089","display_name":"Bing Xue","orcid":"https://orcid.org/0000-0002-4865-8026"},"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":"Bing Xue","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of 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, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074417543","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, New Zealand"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070410806"],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.57963656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9797000288963318,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9794999957084656,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8091986775398254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7235107421875},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6750547885894775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6501111388206482},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6492811441421509},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6115489602088928},{"id":"https://openalex.org/keywords/convex-hull","display_name":"Convex hull","score":0.6114650964736938},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5987686514854431},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5863178968429565},{"id":"https://openalex.org/keywords/viola\u2013jones-object-detection-framework","display_name":"Viola\u2013Jones object detection framework","score":0.5500739812850952},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5312535166740417},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48863106966018677},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44445928931236267},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4396211802959442},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.42088407278060913},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41817498207092285},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.19195571541786194},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1918351948261261},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.13370603322982788},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12366679310798645},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.07458987832069397}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8091986775398254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7235107421875},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6750547885894775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6501111388206482},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6492811441421509},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6115489602088928},{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.6114650964736938},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5987686514854431},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5863178968429565},{"id":"https://openalex.org/C182521987","wikidata":"https://www.wikidata.org/wiki/Q2493877","display_name":"Viola\u2013Jones object detection framework","level":5,"score":0.5500739812850952},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5312535166740417},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48863106966018677},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44445928931236267},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4396211802959442},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.42088407278060913},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41817498207092285},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.19195571541786194},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1918351948261261},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.13370603322982788},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12366679310798645},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.07458987832069397},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz.2018.8634726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2018.8634726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1592631677","https://openalex.org/W1918837316","https://openalex.org/W1982075130","https://openalex.org/W1992992668","https://openalex.org/W1993939318","https://openalex.org/W1996326832","https://openalex.org/W2037954058","https://openalex.org/W2047670868","https://openalex.org/W2064365034","https://openalex.org/W2068194118","https://openalex.org/W2089597841","https://openalex.org/W2099046646","https://openalex.org/W2120504013","https://openalex.org/W2128272608","https://openalex.org/W2146103513","https://openalex.org/W2402846924","https://openalex.org/W3098389804","https://openalex.org/W4239147634","https://openalex.org/W4300106150","https://openalex.org/W6682642761"],"related_works":["https://openalex.org/W3160582076","https://openalex.org/W3204852000","https://openalex.org/W2965402078","https://openalex.org/W4297797959","https://openalex.org/W4297491714","https://openalex.org/W4256727525","https://openalex.org/W3108847140","https://openalex.org/W4387272257","https://openalex.org/W4200612475","https://openalex.org/W2546310938"],"abstract_inverted_index":{"The":[0,103,120],"human":[1,28],"vision":[2],"system":[3,30],"has":[4],"the":[5,25,43,57,65,106,137],"ability":[6],"to":[7,23,76,99],"detect":[8,77],"visual":[9,18,29],"saliency":[10,19],"extraordinarily":[11],"quickly":[12],"and":[13,52,83,94,130,133],"reliably.":[14],"In":[15,68],"computer":[16],"vision,":[17],"object":[20,40,51,142],"detection":[21,41,143],"aims":[22],"replicate":[24],"mechanism":[26],"of":[27,34,56,92,105],"in":[31],"selecting":[32],"regions":[33],"interest":[35],"from":[36],"complex":[37],"scenes.":[38],"Salient":[39],"splits":[42],"image":[44,59],"into":[45],"two":[46,66],"regions,":[47],"i.e.,":[48],"foreground":[49],"salient":[50,78,141],"background.":[53],"Different":[54],"features":[55,82,93],"underlying":[58],"might":[60],"be":[61],"useful":[62],"for":[63],"identifying":[64],"regions.":[67],"this":[69],"study,":[70],"we":[71],"develop":[72,95],"a":[73,84],"bottom-up":[74],"method":[75,108,139],"objects":[79],"using":[80],"informative":[81],"convex-hull-based":[85],"center":[86],"prior.":[87],"We":[88],"explore":[89],"complementary":[90],"characteristics":[91],"one":[96],"effective":[97],"way":[98],"integrate":[100],"those":[101],"features.":[102],"performance":[104],"new":[107,138],"is":[109],"compared":[110],"with":[111],"seven":[112],"state-of-the-art":[113],"methods":[114],"on":[115],"three":[116],"different":[117],"benchmark":[118],"datasets.":[119],"quantitative":[121],"(e.g,":[122],"precision-recall":[123],"curve,":[124,129],"receiver":[125],"operating":[126],"characteristic":[127],"(ROC)":[128],"F":[131],"-measure)":[132],"qualitative":[134],"results":[135],"indicate":[136],"improves":[140],"(SOD)performance.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}