{"id":"https://openalex.org/W1986331494","doi":"https://doi.org/10.1145/1108590.1108595","title":"A GPU based saliency map for high-fidelity selective rendering","display_name":"A GPU based saliency map for high-fidelity selective rendering","publication_year":2006,"publication_date":"2006-01-25","ids":{"openalex":"https://openalex.org/W1986331494","doi":"https://doi.org/10.1145/1108590.1108595","mag":"1986331494"},"language":"en","primary_location":{"id":"doi:10.1145/1108590.1108595","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1108590.1108595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa","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/A5019750582","display_name":"Peter Longhurst","orcid":null},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Peter Longhurst","raw_affiliation_strings":["University of Bristol"],"affiliations":[{"raw_affiliation_string":"University of Bristol","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087052285","display_name":"Kurt Debattista","orcid":"https://orcid.org/0000-0003-2982-5199"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kurt Debattista","raw_affiliation_strings":["University of Bristol"],"affiliations":[{"raw_affiliation_string":"University of Bristol","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082873538","display_name":"Alan Chalmers","orcid":"https://orcid.org/0000-0002-1724-1500"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alan Chalmers","raw_affiliation_strings":["University of Bristol"],"affiliations":[{"raw_affiliation_string":"University of Bristol","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019750582"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":9.4833,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.98343606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.8916568756103516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8672186136245728},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6064679622650146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5732302665710449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5515109896659851},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5146675705909729},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.4897501468658447},{"id":"https://openalex.org/keywords/image-based-modeling-and-rendering","display_name":"Image-based modeling and rendering","score":0.4774875342845917},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.46549782156944275},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.4634001553058624},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4455585181713104},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4319651126861572},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42048966884613037},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11754944920539856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09616515040397644}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8916568756103516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8672186136245728},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6064679622650146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5732302665710449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5515109896659851},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5146675705909729},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.4897501468658447},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.4774875342845917},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.46549782156944275},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.4634001553058624},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4455585181713104},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4319651126861572},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42048966884613037},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11754944920539856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09616515040397644},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1108590.1108595","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1108590.1108595","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th international conference on Computer graphics, virtual reality, visualisation and interaction in Africa","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/11839ed0-9bcf-4723-8d71-6188d9789bbc","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/11839ed0-9bcf-4723-8d71-6188d9789bbc","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Longhurst, P, Kundu, D & Chalmers, A 2006, A GPU based Saliency Map for High-Fidelity Selective Rendering. in Unknown. ACM SIGGRAPH, pp. 21 - 29. < http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000491 >","raw_type":"contributionToPeriodical"}],"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/W42232744","https://openalex.org/W76064434","https://openalex.org/W99973202","https://openalex.org/W1482882448","https://openalex.org/W1483613367","https://openalex.org/W1499399937","https://openalex.org/W1507159959","https://openalex.org/W1548638602","https://openalex.org/W1560401683","https://openalex.org/W1583953270","https://openalex.org/W1948311811","https://openalex.org/W1976689962","https://openalex.org/W1976745274","https://openalex.org/W2014872028","https://openalex.org/W2018049120","https://openalex.org/W2036558422","https://openalex.org/W2040053317","https://openalex.org/W2049238661","https://openalex.org/W2054802006","https://openalex.org/W2062321228","https://openalex.org/W2108157916","https://openalex.org/W2112085006","https://openalex.org/W2121511451","https://openalex.org/W2124825392","https://openalex.org/W2128272608","https://openalex.org/W2139618623","https://openalex.org/W2141983659","https://openalex.org/W2145023731","https://openalex.org/W2153273516","https://openalex.org/W4230358113","https://openalex.org/W4234259615"],"related_works":["https://openalex.org/W4310844315","https://openalex.org/W2532377291","https://openalex.org/W2000013817","https://openalex.org/W4296190881","https://openalex.org/W2366362996","https://openalex.org/W2517624617","https://openalex.org/W4205469094","https://openalex.org/W2044956415","https://openalex.org/W4298312050","https://openalex.org/W3157691891"],"abstract_inverted_index":{"The":[0,218],"computation":[1],"of":[2,9,50,73,83,92,109,149,170,208,220,242],"high-fidelity":[3],"images":[4],"in":[5,61,65,89,105,122,163,215],"real-time":[6],"remains":[7],"one":[8],"the":[10,23,39,48,51,69,74,84,90,100,146,190,196,203,221,238],"key":[11],"challenges":[12],"for":[13],"computer":[14],"graphics.":[15],"Recent":[16],"work":[17],"has":[18],"shown":[19],"that":[20,201],"by":[21,81],"understanding":[22],"human":[24,40,85],"visual":[25,86],"system,":[26,87,125],"selective":[27,197],"rendering":[28,78,174],"may":[29],"be":[30,103,131,168,187,213,224],"used":[31],"to":[32,37,130,159,167,189,193],"render":[33],"only":[34,202],"those":[35],"parts":[36,207],"which":[38,97,144],"viewer":[41,70],"is":[42,79,156],"attending":[43],"at":[44,53,226],"high":[45,216],"quality":[46,75],"and":[47,184,231],"rest":[49,219],"scene":[52],"a":[54,62,93,140,171,227],"much":[55,233],"lower":[56,229,234],"quality.":[57,217],"This":[58,199],"can":[59,186,223],"result":[60],"significant":[63],"reduction":[64],"computational":[66,147,235],"time,":[67],"without":[68,237],"being":[71,240],"aware":[72,241],"difference.":[76,244],"Selective":[77],"guided":[80],"models":[82],"typically":[88],"form":[91],"2D":[94],"saliency":[95,142,191],"map,":[96],"predict":[98],"where":[99,126],"user":[101,239],"will":[102],"looking":[104],"any":[106,123,209],"scene.":[107],"Computation":[108],"these":[110],"maps":[111],"themselves":[112],"often":[113],"take":[114],"many":[115,127],"seconds,":[116],"thus":[117,157,232],"precluding":[118],"such":[119],"an":[120],"approach":[121,154],"interactive":[124],"frames":[128],"need":[129,212],"rendered":[132,214,225],"per":[133],"second.":[134],"In":[135,176],"this":[136,161,243],"paper":[137],"we":[138,178],"present":[139],"novel":[141],"map":[143,162,192],"exploits":[145],"performance":[148],"modern":[150],"GPUs.":[151],"With":[152],"our":[153],"it":[155,166],"possible":[158],"calculate":[160],"milliseconds,":[164],"allowing":[165],"part":[169],"real":[172],"time":[173],"system.":[175],"addition,":[177],"also":[179],"show":[180],"how":[181],"depth,":[182],"habituation":[183],"motion":[185],"added":[188],"further":[194],"guide":[195],"rendering.":[198],"ensures":[200],"most":[204],"perceptually":[205],"important":[206],"animated":[210],"sequence":[211],"animation":[222],"significantly":[228],"quality,":[230],"cost,":[236]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
