{"id":"https://openalex.org/W2049238661","doi":"https://doi.org/10.1145/1090122.1090150","title":"Visual attention for efficient high-fidelity graphics","display_name":"Visual attention for efficient high-fidelity graphics","publication_year":2005,"publication_date":"2005-05-12","ids":{"openalex":"https://openalex.org/W2049238661","doi":"https://doi.org/10.1145/1090122.1090150","mag":"2049238661"},"language":"en","primary_location":{"id":"doi:10.1145/1090122.1090150","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1090122.1090150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st Spring Conference on Computer Graphics","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/A5043511955","display_name":"Veronica Sundstedt","orcid":"https://orcid.org/0000-0003-3639-9327"},"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":"V. Sundstedt","raw_affiliation_strings":["University of Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, United Kingdom","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":"K. Debattista","raw_affiliation_strings":["University of Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","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":false,"raw_author_name":"P. Longhurst","raw_affiliation_strings":["University of Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","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":"A. Chalmers","raw_affiliation_strings":["University of Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108626039","display_name":"T. Troscianko","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":false,"raw_author_name":"T. Troscianko","raw_affiliation_strings":["University of Bristol, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.3745,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.97978331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"169","last_page":"175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.8839026689529419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8429343700408936},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.5432963371276855},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.49603018164634705},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4946887195110321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4777894914150238},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4740317165851593},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4636830687522888},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4624924957752228},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44419485330581665},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4321839213371277},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.41872942447662354},{"id":"https://openalex.org/keywords/real-time-rendering","display_name":"Real-time rendering","score":0.41186007857322693},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.41154107451438904},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06746172904968262}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8839026689529419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8429343700408936},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.5432963371276855},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.49603018164634705},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4946887195110321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4777894914150238},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4740317165851593},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4636830687522888},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4624924957752228},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44419485330581665},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4321839213371277},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41872942447662354},{"id":"https://openalex.org/C116921373","wikidata":"https://www.wikidata.org/wiki/Q2816483","display_name":"Real-time rendering","level":3,"score":0.41186007857322693},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.41154107451438904},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06746172904968262},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1090122.1090150","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1090122.1090150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st Spring Conference on Computer Graphics","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.60.1801","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.1801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bris.ac.uk/Publications/Papers/2000222.pdf","raw_type":"text"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/82e55bac-13f7-4bea-babb-3c07728f5774","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/82e55bac-13f7-4bea-babb-3c07728f5774","pdf_url":null,"source":{"id":"https://openalex.org/S7407055359","display_name":"Explore Bristol Research","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sundstedt, V, Kundu, D, Longhurst, P, Chalmers, A & Troscianco, T 2005, Visual Attention for Efficient High-Fidelity Graphics. in Unknown. pp. 162 - 168. < http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=2000222 >","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W107900398","https://openalex.org/W1483613367","https://openalex.org/W1497599070","https://openalex.org/W1507159959","https://openalex.org/W1510226565","https://openalex.org/W1510697626","https://openalex.org/W1965660519","https://openalex.org/W1965744692","https://openalex.org/W1990873664","https://openalex.org/W2018049120","https://openalex.org/W2025752038","https://openalex.org/W2036047243","https://openalex.org/W2036558422","https://openalex.org/W2050060060","https://openalex.org/W2054802006","https://openalex.org/W2056046632","https://openalex.org/W2058282219","https://openalex.org/W2063056805","https://openalex.org/W2076471588","https://openalex.org/W2088457603","https://openalex.org/W2092755522","https://openalex.org/W2098966169","https://openalex.org/W2118092732","https://openalex.org/W2120658398","https://openalex.org/W2121511451","https://openalex.org/W2128272608","https://openalex.org/W2136180211","https://openalex.org/W2136315152","https://openalex.org/W2136869398","https://openalex.org/W2144738919","https://openalex.org/W2153273516","https://openalex.org/W2167125118","https://openalex.org/W2271422616","https://openalex.org/W2333711410","https://openalex.org/W2911851818","https://openalex.org/W2912079318","https://openalex.org/W2989691982","https://openalex.org/W4237407156","https://openalex.org/W4244614157","https://openalex.org/W6659396888","https://openalex.org/W6817943408"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W3112751614","https://openalex.org/W2153229931","https://openalex.org/W2099247362","https://openalex.org/W2040959874","https://openalex.org/W2936229268","https://openalex.org/W3112550159","https://openalex.org/W2113032778"],"abstract_inverted_index":{"High-fidelity":[0],"rendering":[1,19,54],"of":[2,10,14,44],"complex":[3],"scenes":[4],"at":[5],"interactive":[6],"rates":[7],"is":[8,20],"one":[9],"the":[11,76,86,120,126],"primary":[12],"goals":[13],"computer":[15],"graphics.":[16],"Since":[17],"high-fidelity":[18],"computationally":[21],"expensive,":[22],"perceptual":[23],"strategies":[24],"such":[25],"as":[26],"visual":[27,46,78,117],"attention":[28,47],"have":[29],"been":[30],"explored":[31],"to":[32,68,91,124],"achieve":[33],"this":[34,37],"goal.":[35],"In":[36],"paper":[38],"we":[39],"investigate":[40],"how":[41],"two":[42],"models":[43],"human":[45],"can":[48,102],"be":[49],"exploited":[50],"in":[51,63,71,136],"a":[52,81,97,116,137],"selective":[53,93,98],"system.":[55],"We":[56,84],"examine":[57],"their":[58],"effects":[59],"both":[60],"individually,":[61],"and":[62,131],"combination,":[64],"through":[65],"psychophysical":[66],"experiments":[67,111],"measure":[69],"savings":[70],"computation":[72],"time":[73],"while":[74],"preserving":[75],"perceived":[77],"quality":[79,130],"for":[80],"task-related":[82],"scene.":[83],"adapt":[85],"lighting":[87],"simulation":[88],"system":[89,100],"Radiance":[90],"support":[92],"rendering,":[94],"by":[95],"introducing":[96],"guidance":[99],"which":[101],"exploit":[103],"attentional":[104],"processes":[105],"using":[106],"an":[107],"importance":[108],"map.":[109],"Our":[110],"demonstrate":[112],"that":[113],"viewers":[114],"performing":[115],"task":[118],"within":[119],"environment":[121],"consistently":[122],"fail":[123],"notice":[125],"difference":[127],"between":[128],"high":[129],"selectively":[132],"rendered":[133],"images,":[134],"computed":[135],"significantly":[138],"reduced":[139],"time.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}