{"id":"https://openalex.org/W2984001224","doi":"https://doi.org/10.1145/3347449.3357482","title":"A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization","display_name":"A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization","publication_year":2019,"publication_date":"2019-10-21","ids":{"openalex":"https://openalex.org/W2984001224","doi":"https://doi.org/10.1145/3347449.3357482","mag":"2984001224"},"language":"en","primary_location":{"id":"doi:10.1145/3347449.3357482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347449.3357482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3395967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022936136","display_name":"Evlampios Apostolidis","orcid":"https://orcid.org/0000-0001-5376-7158"},"institutions":[{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Evlampios Apostolidis","raw_affiliation_strings":["CERTH-ITI & Queen Mary University of London, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERTH-ITI & Queen Mary University of London, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079898663","display_name":"Alexandros I. Metsai","orcid":"https://orcid.org/0000-0002-6978-6924"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Alexandros I. Metsai","raw_affiliation_strings":["CERTH-ITI, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERTH-ITI, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014312160","display_name":"Eleni Adamantidou","orcid":"https://orcid.org/0000-0002-1981-6902"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Eleni Adamantidou","raw_affiliation_strings":["CERTH-ITI, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERTH-ITI, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059096027","display_name":"Vasileios Mezaris","orcid":"https://orcid.org/0000-0002-0121-4364"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasileios Mezaris","raw_affiliation_strings":["CERTH-ITI, Thessaloniki, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CERTH-ITI, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031205865","display_name":"Ioannis Patras","orcid":"https://orcid.org/0000-0003-3913-4738"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ioannis Patras","raw_affiliation_strings":["Queen Mary University of London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, London, United Kingdom","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7772,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.92814615,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998999834060669,"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":0.9998999834060669,"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/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9830999970436096,"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":0.8501413464546204},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.845570981502533},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7969788908958435},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7888193130493164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6095062494277954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5956498980522156},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.5109400153160095},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.41932213306427},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32413220405578613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8501413464546204},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.845570981502533},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7969788908958435},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7888193130493164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6095062494277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5956498980522156},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5109400153160095},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.41932213306427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32413220405578613},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3347449.3357482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347449.3357482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on AI for Smart TV Content Production, Access and Delivery","raw_type":"proceedings-article"},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/62042","is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/62042","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},{"id":"pmh:oai:zenodo.org:3395967","is_oa":true,"landing_page_url":"https://zenodo.org/record/3395967","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3395967","is_oa":true,"landing_page_url":"https://zenodo.org/record/3395967","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2721679295","display_name":null,"funder_award_id":"780656","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8340972658","display_name":null,"funder_award_id":"H2020-780656 ReTV","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1904325426","https://openalex.org/W1924343884","https://openalex.org/W1959608418","https://openalex.org/W2053611776","https://openalex.org/W2064675550","https://openalex.org/W2097117768","https://openalex.org/W2139009685","https://openalex.org/W2157331557","https://openalex.org/W2402902088","https://openalex.org/W2524009672","https://openalex.org/W2529272619","https://openalex.org/W2560662850","https://openalex.org/W2593390416","https://openalex.org/W2737677090","https://openalex.org/W2750526644","https://openalex.org/W2766630207","https://openalex.org/W2768010949","https://openalex.org/W2776277180","https://openalex.org/W2788303226","https://openalex.org/W2798437341","https://openalex.org/W2798970487","https://openalex.org/W2804194431","https://openalex.org/W2895907803","https://openalex.org/W2902616437","https://openalex.org/W2903758693","https://openalex.org/W2919365148","https://openalex.org/W2922340345","https://openalex.org/W2949550202","https://openalex.org/W2963322247","https://openalex.org/W2963558761","https://openalex.org/W2963684088","https://openalex.org/W2964167369","https://openalex.org/W2964312929","https://openalex.org/W2967219836","https://openalex.org/W2980092132","https://openalex.org/W2982672255","https://openalex.org/W2986510250"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W4200630034","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W2997056298","https://openalex.org/W2950864148","https://openalex.org/W2570685808"],"abstract_inverted_index":{"In":[0],"this":[1,64],"paper":[2],"we":[3,103,127,140],"present":[4],"our":[5,124],"work":[6],"on":[7,31,55,145,180,197],"improving":[8],"the":[9,22,32,50,74,86,90,94,100,112,116,120,135,142,158,161,164,167,174,181,187,191,198,202,206],"efficiency":[10,114,200],"of":[11,60,63,76,89,96,115,119,160,166,176,190,201,205],"adversarial":[12,117,203],"training":[13,85,113,195],"for":[14,84],"unsupervised":[15],"video":[16,45],"summarization.":[17],"Our":[18],"starting":[19],"point":[20],"is":[21,47],"SUM-GAN":[23],"model,":[24,65],"which":[25],"creates":[26],"a":[27,36,44,56,61,68,105,129],"representative":[28],"summary":[29,37],"based":[30],"intuition":[33],"that":[34,46,66],"such":[35],"should":[38],"make":[39],"it":[40],"possible":[41,143],"to":[42,72,99,110,134],"reconstruct":[43],"indistinguishable":[48],"from":[49],"original":[51],"one.":[52],"We":[53],"build":[54],"publicly":[57],"available":[58],"implementation":[59],"variation":[62],"includes":[67],"linear":[69],"compression":[70],"layer":[71],"reduce":[73],"number":[75],"learned":[77],"parameters":[78],"and":[79,139,151,155,184],"applies":[80],"an":[81],"incremental":[82],"approach":[83],"different":[87],"components":[88],"architecture.":[91,207],"After":[92],"assessing":[93],"impact":[95],"these":[97],"changes":[98],"model's":[101,125,182],"performance,":[102,183],"propose":[104],"stepwise,":[106,193],"label-based":[107,194],"learning":[108,199],"process":[109],"improve":[111],"part":[118,204],"model.":[121],"Before":[122],"evaluating":[123],"efficiency,":[126],"perform":[128],"thorough":[130],"study":[131,172],"with":[132,157],"respect":[133],"used":[136],"evaluation":[137],"protocols":[138],"examine":[141],"performance":[144],"two":[146],"benchmarking":[147],"datasets,":[148],"namely":[149],"SumMe":[150],"TVSum.":[152],"Experimental":[153],"evaluations":[154],"comparisons":[156],"state":[159],"art":[162],"highlight":[163],"competitiveness":[165],"proposed":[168],"method.":[169],"An":[170],"ablation":[171],"indicates":[173],"benefit":[175],"each":[177],"applied":[178],"change":[179],"points":[185],"out":[186],"advantageous":[188],"role":[189],"introduced":[192],"strategy":[196]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}