{"id":"https://openalex.org/W2751732548","doi":"https://doi.org/10.1109/icme.2017.8019389","title":"Video salient object detection via cross-frame cellular automata","display_name":"Video salient object detection via cross-frame cellular automata","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2751732548","doi":"https://doi.org/10.1109/icme.2017.8019389","mag":"2751732548"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2017.8019389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100555539","display_name":"Jingfan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingfan Guo","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084591510","display_name":"Tongwei Ren","orcid":"https://orcid.org/0000-0003-3092-424X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongwei Ren","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784423","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0002-3175-3991"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101765870","display_name":"Xingyu Liu","orcid":"https://orcid.org/0009-0007-7153-5570"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Liu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037131575","display_name":"Ming\u2010Ming Cheng","orcid":"https://orcid.org/0000-0001-5550-8758"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming-Ming Cheng","raw_affiliation_strings":["CCCE & CS, Nankai University, China"],"affiliations":[{"raw_affiliation_string":"CCCE & CS, Nankai University, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101546753","display_name":"Gangshan Wu","orcid":"https://orcid.org/0000-0003-1391-1762"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangshan Wu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100555539"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.8311,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.82651472,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2017","issue":null,"first_page":"325","last_page":"330"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9728000164031982,"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/T11094","display_name":"Face Recognition and Perception","score":0.958899974822998,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.801995038986206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7753070592880249},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7542442083358765},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7393829226493835},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7342062592506409},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6952319741249084},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.5729561448097229},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5339601635932922},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5200621485710144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48422932624816895},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43289411067962646}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.801995038986206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7753070592880249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7542442083358765},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7393829226493835},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7342062592506409},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6952319741249084},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.5729561448097229},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5339601635932922},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5200621485710144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48422932624816895},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43289411067962646},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2017.8019389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2017.8019389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"mag:3160034986","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201702287828176563","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1559885501","https://openalex.org/W1772076007","https://openalex.org/W1897243830","https://openalex.org/W1954128991","https://openalex.org/W1980120082","https://openalex.org/W1986638738","https://openalex.org/W1994922096","https://openalex.org/W2034436892","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2055611119","https://openalex.org/W2068329823","https://openalex.org/W2091140892","https://openalex.org/W2100470808","https://openalex.org/W2118246710","https://openalex.org/W2124065797","https://openalex.org/W2131747574","https://openalex.org/W2138682569","https://openalex.org/W2156148204","https://openalex.org/W2178807823","https://openalex.org/W2295598507","https://openalex.org/W2461758788","https://openalex.org/W2501148868","https://openalex.org/W2514453564","https://openalex.org/W2533129183","https://openalex.org/W3104979525","https://openalex.org/W3170406251","https://openalex.org/W4239147634","https://openalex.org/W6633558305","https://openalex.org/W6639624585","https://openalex.org/W6645492077","https://openalex.org/W6667367239"],"related_works":["https://openalex.org/W2164619678","https://openalex.org/W2113544496","https://openalex.org/W2360313292","https://openalex.org/W1669105318","https://openalex.org/W2329500892","https://openalex.org/W2067777412","https://openalex.org/W2359527201","https://openalex.org/W2353714615","https://openalex.org/W28991112","https://openalex.org/W2370726991"],"abstract_inverted_index":{"Salient":[0],"object":[1,21],"detection":[2,22],"aims":[3],"to":[4,94],"detect":[5],"the":[6,37,68,75,102,117],"attractive":[7],"objects":[8],"on":[9,27,58,120],"images":[10],"and":[11,42,53,62,84,100],"videos.":[12,124],"In":[13],"this":[14],"paper,":[15],"we":[16,34,66,89],"propose":[17],"a":[18,32,44,51],"novel":[19],"salient":[20],"method":[23,115],"for":[24],"videos":[25],"based":[26,57],"cross-frame":[28],"cellular":[29,91],"automata.":[30],"Given":[31],"video,":[33],"first":[35],"represent":[36],"video":[38],"frames":[39,56],"with":[40,74,106],"super-pixels,":[41],"construct":[43],"saliency":[45,69,79,96,104],"propagation":[46],"network":[47],"among":[48,97],"super-pixels":[49,98],"within":[50],"frame":[52,73],"between":[54],"adjacent":[55],"their":[59],"appearance":[60,83],"similarities":[61],"temporal":[63],"coherency.":[64],"Second,":[65],"initialize":[67],"map":[70],"of":[71,77,123],"each":[72],"fusion":[76],"two":[78],"maps":[80,105],"generated":[81],"by":[82],"motion":[85],"features":[86],"independently.":[87],"Finally,":[88],"utilize":[90],"automata":[92],"updating":[93],"propagate":[95],"iteratively":[99],"generate":[101],"coherent":[103],"complete":[107],"objects.":[108],"The":[109],"experimental":[110],"results":[111],"show":[112],"that":[113],"our":[114],"outperforms":[116],"state-of-the-art":[118],"methods":[119],"different":[121],"types":[122]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}