{"id":"https://openalex.org/W4414359613","doi":"https://doi.org/10.24963/ijcai.2025/855","title":"Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline","display_name":"Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359613","doi":"https://doi.org/10.24963/ijcai.2025/855"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/855","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012170227","display_name":"Min-Woo Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minwoo Oh","raw_affiliation_strings":["Department of MetaBioHealth, Sungkyunkwan University, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of MetaBioHealth, Sungkyunkwan University, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646722","display_name":"Minsu Park","orcid":"https://orcid.org/0000-0001-8429-8999"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsu Park","raw_affiliation_strings":["Department of Applied Artificial Intelligence, Sungkyunkwan University, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Artificial Intelligence, Sungkyunkwan University, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047279790","display_name":"Eunil Park","orcid":"https://orcid.org/0000-0002-3177-3538"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]},{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["ES","KR"],"is_corresponding":false,"raw_author_name":"Eunil Park","raw_affiliation_strings":["Department of Applied Artificial Intelligence, Sungkyunkwan University, Korea","Department of Computer Science and Engineering, Jaume I University, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Artificial Intelligence, Sungkyunkwan University, Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Jaume I University, Spain","institution_ids":["https://openalex.org/I10902133"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7688","last_page":"7696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.980400025844574,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.980400025844574,"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/T13996","display_name":"Diverse Musicological Studies","score":0.9020000100135803,"subfield":{"id":"https://openalex.org/subfields/1210","display_name":"Music"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.8565000295639038},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.675000011920929},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6189000010490417},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5006999969482422},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.49709999561309814},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.41819998621940613}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.8565000295639038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7663000226020813},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.675000011920929},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6189000010490417},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.49709999561309814},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.48100000619888306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4544000029563904},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.37450000643730164},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33009999990463257},{"id":"https://openalex.org/C128422554","wikidata":"https://www.wikidata.org/wiki/Q20077126","display_name":"Sound recording and reproduction","level":2,"score":0.30959999561309814},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.289000004529953},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2603999972343445}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/855","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Short":[0],"video":[1,66,107,115,155],"platforms":[2],"like":[3],"YouTube":[4],"Shorts":[5],"and":[6,26,46,82,95,108,144],"TikTok":[7],"face":[8],"significant":[9],"copyright":[10,148],"compliance":[11],"challenges,":[12],"as":[13],"infringers":[14],"frequently":[15],"embed":[16],"arbitrary":[17,55,127],"background":[18],"music":[19],"(BGM)":[20],"to":[21,147],"obscure":[22],"original":[23,59],"soundtracks":[24],"(OST)":[25],"evade":[27],"content":[28,137,152],"originality":[29],"detection.":[30],"To":[31,69],"tackle":[32],"this":[33,71],"issue,":[34],"we":[35,73],"propose":[36],"a":[37,101],"novel":[38],"pipeline":[39,85,123],"that":[40,121],"integrates":[41],"Music":[42],"Source":[43],"Separation":[44],"(MSS)":[45],"cross-modal":[47],"video-music":[48],"retrieval":[49],"(CMVMR).":[50],"Our":[51],"approach":[52,140],"effectively":[53],"separates":[54],"BGM":[56,94,128],"from":[57],"the":[58,62],"OST,":[60],"enabling":[61],"restoration":[63,116],"of":[64],"authentic":[65],"audio":[67,80,90],"tracks.":[68],"support":[70],"work,":[72],"introduce":[74],"two":[75],"domain-specific":[76],"datasets:":[77],"OASD-20K":[78,87],"for":[79,84,113],"separation":[81],"OSVAR-160":[83],"evaluation.":[86],"contains":[88],"20,000":[89],"clips":[91],"featuring":[92],"mixed":[93],"OST":[96],"pairs,":[97,110],"while":[98],"OSVAR160":[99],"is":[100],"unique":[102],"benchmark":[103],"dataset":[104],"comprising":[105],"1,121":[106],"mixed-audio":[109],"specifically":[111],"designed":[112],"short":[114,154],"tasks.":[117],"Experimental":[118],"results":[119],"demonstrate":[120],"our":[122],"not":[124],"only":[125],"removes":[126],"with":[129],"high":[130],"accuracy":[131],"but":[132],"also":[133],"restores":[134],"OSTs,":[135],"ensuring":[136],"integrity.":[138],"This":[139],"provides":[141],"an":[142],"ethical":[143],"scalable":[145],"solution":[146],"challenges":[149],"in":[150],"user-generated":[151],"on":[153],"platforms.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}