{"id":"https://openalex.org/W3162225489","doi":"https://doi.org/10.1145/3448734.3450892","title":"Attention Transition Prediction Based on Multi-Scale Spatiotemporal Features","display_name":"Attention Transition Prediction Based on Multi-Scale Spatiotemporal Features","publication_year":2021,"publication_date":"2021-01-28","ids":{"openalex":"https://openalex.org/W3162225489","doi":"https://doi.org/10.1145/3448734.3450892","mag":"3162225489"},"language":"en","primary_location":{"id":"doi:10.1145/3448734.3450892","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448734.3450892","pdf_url":null,"source":{"id":"https://openalex.org/S4306531993","display_name":"The 2nd International Conference on Computing and Data Science","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2nd International Conference on Computing and Data Science","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/A5011952728","display_name":"Wuhua Chi","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wuhua Chi","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101906227","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0003-4034-1371"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646801","display_name":"Duo Chen","orcid":"https://orcid.org/0000-0002-0951-4687"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duo Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103005077","display_name":"Xinzhu Sang","orcid":"https://orcid.org/0000-0002-1894-7230"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzhu Sang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109261765","display_name":"Kuiru Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuiru Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034172202","display_name":"Binbin Yan","orcid":"https://orcid.org/0009-0000-6775-9132"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Yan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5011952728"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.02217742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9965999722480774,"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":0.9829999804496765,"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/computer-science","display_name":"Computer science","score":0.8086585998535156},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.744103193283081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7403296828269958},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6873146295547485},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6616508960723877},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6486178636550903},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6127946972846985},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.6062694787979126},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5867524743080139},{"id":"https://openalex.org/keywords/visual-attention","display_name":"Visual attention","score":0.5081286430358887},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46719738841056824},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4663960337638855},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4499833583831787},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.43228572607040405},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4139046370983124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35074254870414734},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08020412921905518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086585998535156},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.744103193283081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7403296828269958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6873146295547485},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6616508960723877},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6486178636550903},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6127946972846985},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.6062694787979126},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5867524743080139},{"id":"https://openalex.org/C2986089797","wikidata":"https://www.wikidata.org/wiki/Q6501338","display_name":"Visual attention","level":3,"score":0.5081286430358887},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46719738841056824},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4663960337638855},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4499833583831787},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.43228572607040405},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4139046370983124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35074254870414734},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08020412921905518},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448734.3450892","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448734.3450892","pdf_url":null,"source":{"id":"https://openalex.org/S4306531993","display_name":"The 2nd International Conference on Computing and Data Science","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2nd International Conference on Computing and Data Science","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":8,"referenced_works":["https://openalex.org/W1988254700","https://openalex.org/W2078903912","https://openalex.org/W2128272608","https://openalex.org/W2148383759","https://openalex.org/W2212216676","https://openalex.org/W2342662179","https://openalex.org/W2795307598","https://openalex.org/W2962965915"],"related_works":["https://openalex.org/W5441856","https://openalex.org/W235810080","https://openalex.org/W2167403408","https://openalex.org/W2152511669","https://openalex.org/W4200523353","https://openalex.org/W2752592484","https://openalex.org/W2068080285","https://openalex.org/W3201702921","https://openalex.org/W2189168477","https://openalex.org/W3015923303"],"abstract_inverted_index":{"The":[0,22],"human":[1,84],"visual":[2,85],"system":[3],"has":[4],"powerful":[5],"information":[6],"processing":[7],"capabilities,":[8],"and":[9,109],"humans":[10],"can":[11,69],"find":[12],"their":[13],"areas":[14],"of":[15,52,83,96,99],"interest":[16],"in":[17],"a":[18,50,79,90],"very":[19],"short":[20],"time.":[21],"traditional":[23],"salient":[24,36],"object":[25,37],"detection":[26],"method":[27],"is":[28,38],"dedicated":[29],"to":[30,77,92,106],"detecting":[31,60,65],"the":[32,35,56,61,66,72],"area":[33],"where":[34],"located.":[39],"But":[40],"when":[41],"people":[42],"are":[43],"concentrating,":[44],"they":[45],"often":[46],"only":[47],"focus":[48],"on":[49],"part":[51],"an":[53],"object,":[54],"not":[55],"whole":[57],"object.":[58],"Therefore,":[59],"gaze":[62],"position":[63],"by":[64],"eye":[67],"movement":[68],"better":[70],"simulate":[71],"attention":[73,86,94],"transition.":[74],"In":[75],"order":[76],"achieve":[78],"more":[80],"accurate":[81],"simulation":[82],"mechanism,":[87],"we":[88],"propose":[89],"model":[91],"predict":[93],"transition":[95],"consecutive":[97],"frames":[98],"video,":[100],"which":[101],"use":[102],"multi-scale":[103],"spatiotemporal":[104],"features":[105],"extract":[107],"static":[108],"dynamic":[110],"saliency":[111],"maps":[112],"separately.":[113]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
