{"id":"https://openalex.org/W2580601536","doi":"https://doi.org/10.2352/issn.2470-1173.2016.7.mobmu-292","title":"RECfusion: Automatic Scene Clustering and Tracking in Videos from Multiple Sources","display_name":"RECfusion: Automatic Scene Clustering and Tracking in Videos from Multiple Sources","publication_year":2016,"publication_date":"2016-02-14","ids":{"openalex":"https://openalex.org/W2580601536","doi":"https://doi.org/10.2352/issn.2470-1173.2016.7.mobmu-292","mag":"2580601536"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2016.7.mobmu-292","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.7.mobmu-292","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-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/A5050605318","display_name":"Filippo Luigi Maria Milotta","orcid":"https://orcid.org/0000-0002-9459-9530"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Filippo L.M Milotta","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042746008","display_name":"Sebastiano Battiato","orcid":"https://orcid.org/0000-0001-6127-2470"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sebastiano Battiato","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014656063","display_name":"Filippo Stanco","orcid":"https://orcid.org/0000-0003-3865-9911"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Filippo Stanco","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102743137","display_name":"Valeria D\u2019Amico","orcid":"https://orcid.org/0000-0003-2594-8925"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valeria D\u2019Amico","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103580832","display_name":"Giovanni Luca Torrisi","orcid":"https://orcid.org/0000-0001-6953-5407"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giovanni Torrisi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5044724587","display_name":"Luca Addesso","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luca Addesso","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050605318"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74430664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"28","issue":"7","first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9990000128746033,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9990000128746033,"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":0.9973999857902527,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9945999979972839,"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":0.8638399839401245},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6701197624206543},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.5799090266227722},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5269556641578674},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5053334832191467},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48387253284454346},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4602474272251129},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.446486234664917},{"id":"https://openalex.org/keywords/video-capture","display_name":"Video capture","score":0.4395671486854553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37646105885505676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36653438210487366},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.35425418615341187},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13611936569213867},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08968731760978699}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8638399839401245},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6701197624206543},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.5799090266227722},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5269556641578674},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5053334832191467},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48387253284454346},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4602474272251129},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.446486234664917},{"id":"https://openalex.org/C151211776","wikidata":"https://www.wikidata.org/wiki/Q2778015","display_name":"Video capture","level":3,"score":0.4395671486854553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37646105885505676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36653438210487366},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.35425418615341187},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13611936569213867},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08968731760978699},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2016.7.mobmu-292","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2016.7.mobmu-292","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1804598664","https://openalex.org/W1970611666","https://openalex.org/W1973812812","https://openalex.org/W2001111768","https://openalex.org/W2061320885","https://openalex.org/W2069662785","https://openalex.org/W2074520446","https://openalex.org/W2101268763","https://openalex.org/W2101322670","https://openalex.org/W2123436043","https://openalex.org/W2124935328","https://openalex.org/W2138164469","https://openalex.org/W2296194749"],"related_works":["https://openalex.org/W2136310606","https://openalex.org/W4389850132","https://openalex.org/W1574724839","https://openalex.org/W2386993521","https://openalex.org/W2096476311","https://openalex.org/W2350362445","https://openalex.org/W2377190948","https://openalex.org/W1623638113","https://openalex.org/W4361855866","https://openalex.org/W1990036491"],"abstract_inverted_index":{"RECfusion":[0,71],"is":[1],"a":[2,31,103,107,117,139],"framework":[3],"devoted":[4],"to":[5,27,147],"the":[6,40,46,96,100,110,149,153,162],"automatic":[7,141],"processing":[8],"of":[9,68,109,160],"video":[10,69,73,92,104,112,142,155],"data":[11],"from":[12,75,106],"many":[13],"devices,":[14],"as":[15],"smartphones,":[16],"tablets,":[17],"webcams,":[18],"surveillance":[19],"cameras,":[20],"etc.,":[21],"where":[22],"all":[23,95],"devices":[24,77],"are":[25,86],"thought":[26],"be":[28,51],"connected":[29],"into":[30],"4G":[32],"LTE":[33],"network.":[34],"Exploiting":[35],"this":[36,131],"mobile":[37],"ultra-broadband":[38],"connection":[39],"communication":[41],"paradigm":[42],"between":[43],"users":[44,62],"in":[45,53,128,152],"social":[47],"media":[48],"context":[49],"can":[50],"augmented:":[52],"events":[54],"like":[55],"concerts,":[56],"feasts,":[57],"expos":[58],"and":[59,78,94],"so":[60],"on,":[61],"become":[63],"either":[64],"producers":[65],"than":[66],"fruitors":[67],"data.":[70],"analyzes":[72],"streams":[74,156],"several":[76],"infers":[79],"semantics":[80],"performing":[81],"scene":[82],"understanding.":[83],"Key":[84],"scenes":[85,151],"identified":[87],"with":[88],"relation":[89],"on":[90],"each":[91,159],"stream":[93],"other":[97],"ones;":[98],"then":[99],"system":[101,118],"generates":[102],"rendered":[105],"mixage":[108],"selected":[111],"streams.":[113],"In":[114,130],"ref.":[115],"[1]":[116],"based":[119],"upon":[120],"visual":[121],"content":[122],"popularity":[123],"has":[124],"been":[125],"already":[126],"implemented":[127],"RECfusion.":[129],"work":[132],"we":[133],"propose":[134],"an":[135],"extension":[136],"for":[137,158],"RECfusion:":[138],"novel":[140],"cluster":[143],"tracking":[144],"algorithm":[145],"able":[146],"identify":[148],"different":[150],"gathered":[154],"selecting":[157],"them":[161],"best":[163],"recording":[164],"device.":[165]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}