{"id":"https://openalex.org/W3023712104","doi":"https://doi.org/10.1109/icpr48806.2021.9412111","title":"Text Synopsis Generation for Egocentric Videos","display_name":"Text Synopsis Generation for Egocentric Videos","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3023712104","doi":"https://doi.org/10.1109/icpr48806.2021.9412111","mag":"3023712104"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.03804","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040183245","display_name":"Aidean Sharghi","orcid":"https://orcid.org/0000-0003-2005-1334"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aidean Sharghi","raw_affiliation_strings":["University of Central Florida, Orlando, FL","University of Central Florida,Department of Computer Science,Orlando,FL"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida,Department of Computer Science,Orlando,FL","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030469716","display_name":"Niels da Vitoria Lobo","orcid":"https://orcid.org/0000-0001-5354-2805"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niels da Vitoria Lobo","raw_affiliation_strings":["University of Central Florida, Orlando, FL","University of central florida"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of central florida","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080823547","display_name":"Mubarak Shah","orcid":"https://orcid.org/0000-0001-6172-5572"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mubarak Shah","raw_affiliation_strings":["University of Central Florida, Orlando, FL","University of central florida"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of central florida","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040183245"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00371529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"4252","last_page":"4259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987999796867371,"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":0.9940999746322632,"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":0.8565713167190552},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8394813537597656},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6298790574073792},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5511658787727356},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5161753296852112},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4929821491241455},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48830270767211914},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4693853557109833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42429178953170776},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.33042478561401367}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8565713167190552},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8394813537597656},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6298790574073792},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5511658787727356},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5161753296852112},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4929821491241455},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48830270767211914},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4693853557109833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42429178953170776},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.33042478561401367},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412111","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.03804","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.03804","pdf_url":"https://arxiv.org/pdf/2005.03804","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3023712104","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2005.03804","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2005.03804","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2005.03804","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.03804","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.03804","pdf_url":"https://arxiv.org/pdf/2005.03804","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023712104.pdf","grobid_xml":"https://content.openalex.org/works/W3023712104.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W13223599","https://openalex.org/W1514535095","https://openalex.org/W1573040851","https://openalex.org/W1598774275","https://openalex.org/W1764126038","https://openalex.org/W1840179877","https://openalex.org/W1904325426","https://openalex.org/W1924343884","https://openalex.org/W1976806664","https://openalex.org/W1987366351","https://openalex.org/W2030371206","https://openalex.org/W2032342062","https://openalex.org/W2048207804","https://openalex.org/W2071711566","https://openalex.org/W2083305840","https://openalex.org/W2097117768","https://openalex.org/W2101105183","https://openalex.org/W2106229755","https://openalex.org/W2110933980","https://openalex.org/W2115857089","https://openalex.org/W2120645068","https://openalex.org/W2121859069","https://openalex.org/W2123301721","https://openalex.org/W2133459682","https://openalex.org/W2139501017","https://openalex.org/W2139615075","https://openalex.org/W2142900973","https://openalex.org/W2152992673","https://openalex.org/W2154652894","https://openalex.org/W2163527813","https://openalex.org/W2166347079","https://openalex.org/W2250405974","https://openalex.org/W2251302966","https://openalex.org/W2307381258","https://openalex.org/W2467173223","https://openalex.org/W2467794422","https://openalex.org/W2558834163","https://openalex.org/W2612131472","https://openalex.org/W2613031639","https://openalex.org/W2618127004","https://openalex.org/W2883047779","https://openalex.org/W2883910824","https://openalex.org/W2890419630","https://openalex.org/W2891955747","https://openalex.org/W2951623480","https://openalex.org/W2951777553","https://openalex.org/W2962799512","https://openalex.org/W2963220254","https://openalex.org/W2963351113","https://openalex.org/W2963389687","https://openalex.org/W2963576560","https://openalex.org/W2963916161","https://openalex.org/W2963919999","https://openalex.org/W3125189040","https://openalex.org/W3138773240","https://openalex.org/W6630875275","https://openalex.org/W6638105372","https://openalex.org/W6640109428","https://openalex.org/W6675954300","https://openalex.org/W6676506607","https://openalex.org/W6677302653","https://openalex.org/W6678262379","https://openalex.org/W6680975834","https://openalex.org/W6682617958","https://openalex.org/W6691495996","https://openalex.org/W6695709487","https://openalex.org/W6713349023","https://openalex.org/W6728272395","https://openalex.org/W6737454886","https://openalex.org/W6754478056"],"related_works":["https://openalex.org/W3161274858","https://openalex.org/W2524009672","https://openalex.org/W2905354574","https://openalex.org/W2233620181","https://openalex.org/W2608481119","https://openalex.org/W2793476612","https://openalex.org/W3171721148","https://openalex.org/W3115718671","https://openalex.org/W2565809781","https://openalex.org/W2527645100","https://openalex.org/W2118638711","https://openalex.org/W2054904802","https://openalex.org/W2570628162","https://openalex.org/W2951718857","https://openalex.org/W2176302750","https://openalex.org/W2150437002","https://openalex.org/W3084496147","https://openalex.org/W2134433343","https://openalex.org/W3045687178","https://openalex.org/W2295442678"],"abstract_inverted_index":{"Mass":[0],"utilization":[1],"of":[2,11,62,96,121,124,155,189,208,210,264],"body-worn":[3],"cameras":[4],"has":[5,37],"led":[6],"to":[7,38,56,82,135,200,222,242,270],"a":[8,48,58,63,72,97,131,153,162,177,216],"huge":[9],"corpus":[10],"available":[12],"egocentric":[13,74,105],"video.":[14],"Existing":[15],"video":[16,45,99,140,156,234,238],"summarization":[17],"algorithms":[18,117],"can":[19,77],"accelerate":[20],"browsing":[21,43],"such":[22],"videos":[23,106],"by":[24],"selecting":[25],"(visually)":[26],"interesting":[27],"shots":[28,157],"from":[29],"them.":[30],"Nonetheless,":[31],"since":[32],"the":[33,40,67,79,86,94,144,159,182,186,196,202,214,223,230,265],"system":[34],"user":[35],"still":[36],"watch":[39],"summary":[41],"videos,":[42],"large":[44,98],"databases":[46],"remain":[47],"challenge.":[49],"Hence,":[50],"in":[51,71,119,147,273,279],"this":[52],"work,":[53],"we":[54,129],"propose":[55,130],"generate":[57,137],"textual":[59,250,256],"synopsis,":[60],"consisting":[61],"few":[64,217],"sentences":[65,219],"describing":[66],"most":[68],"important":[69],"events":[70],"long":[73,108],"videos.":[75],"Users":[76],"read":[78],"short":[80],"text":[81,102,163,274],"gain":[83],"insight":[84],"about":[85],"video,":[87,215],"and":[88,109,113,142,158],"more":[89],"importantly,":[90],"efficiently":[91],"search":[92],"through":[93],"content":[95,170],"database":[100],"using":[101,115,276],"queries.":[103],"Since":[104],"are":[107,126,220,268],"contain":[110],"many":[111,123],"activities":[112],"events,":[114],"video-to-text":[116],"results":[118],"thousands":[120,209],"descriptions,":[122,267],"which":[125],"incorrect.":[127],"Therefore,":[128],"multi-task":[132],"learning":[133],"scheme":[134],"simultaneously":[136],"descriptions":[138,146,197,211,251],"for":[139,165,213],"segments":[141],"summarize":[143],"resulting":[145],"an":[148],"end-to-end":[149],"fashion.":[150],"We":[151,225],"Input":[152],"set":[154],"network":[160],"generates":[161],"description":[164],"each":[166,237],"shot.":[167],"Next,":[168],"visual-language":[169],"matching":[171],"unit":[172],"that":[173],"is":[174,239],"trained":[175],"with":[176,247],"weakly":[178],"supervised":[179],"objective,":[180],"identifies":[181],"correct":[183],"descriptions.":[184],"Finally,":[185],"last":[187],"component":[188],"our":[190,227],"network,":[191,194],"called":[192],"purport":[193],"evaluates":[195],"all":[198],"together":[199],"select":[201],"ones":[203],"containing":[204],"crucial":[205],"information.":[206],"Out":[207],"generated":[212,255,266],"informative":[218],"returned":[221],"user.":[224],"validate":[226],"framework":[228],"on":[229,252],"challenging":[231],"UT":[232],"Egocentric":[233],"dataset,":[235],"where":[236],"between":[240],"3":[241],"5":[243,260],"hours":[244],"long,":[245],"associated":[246],"over":[248],"3000":[249],"average.":[253],"The":[254],"summaries,":[257],"including":[258],"only":[259],"percent":[261],"(or":[262],"less)":[263],"compared":[269],"groundtruth":[271],"summaries":[272],"domain":[275],"well-established":[277],"metrics":[278],"natural":[280],"language":[281],"processing.":[282]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}