{"id":"https://openalex.org/W4403791714","doi":"https://doi.org/10.1145/3664647.3685517","title":"TransNet V2: An Effective Deep Network Architecture for Fast Shot Transition Detection","display_name":"TransNet V2: An Effective Deep Network Architecture for Fast Shot Transition Detection","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791714","doi":"https://doi.org/10.1145/3664647.3685517"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3685517","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3685517","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3685517?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3685517?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114549498","display_name":"Tom\u00e1\u0161 Sou\u010dek","orcid":"https://orcid.org/0000-0001-6911-5517"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Tom\u00e1s Soucek","raw_affiliation_strings":["SIRET, Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0001-6911-5517","affiliations":[{"raw_affiliation_string":"SIRET, Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010725699","display_name":"Jakub Loko\u010d","orcid":"https://orcid.org/0000-0002-3558-4144"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jakub Lokoc","raw_affiliation_strings":["SIRET, Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-3558-4144","affiliations":[{"raw_affiliation_string":"SIRET, Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114549498"],"corresponding_institution_ids":["https://openalex.org/I21250087"],"apc_list":null,"apc_paid":null,"fwci":12.1662,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98897712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"11218","last_page":"11221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9721999764442444,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9447000026702881,"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/shot","display_name":"Shot (pellet)","score":0.6992766857147217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6479211449623108},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5775770545005798},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.528917670249939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3727877140045166},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09857141971588135}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6992766857147217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6479211449623108},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5775770545005798},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.528917670249939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3727877140045166},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09857141971588135},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3685517","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3685517","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3685517?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3664647.3685517","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3664647.3685517","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3664647.3685517?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5557125816","display_name":null,"funder_award_id":"19-22071Y","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"},{"id":"https://openalex.org/G6644367242","display_name":null,"funder_award_id":"1310920","funder_id":"https://openalex.org/F4320309872","funder_display_name":"Grantov\u00e1 Agentura, Univerzita Karlova"}],"funders":[{"id":"https://openalex.org/F4320309872","display_name":"Grantov\u00e1 Agentura, Univerzita Karlova","ror":"https://ror.org/024d6js02"},{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403791714.pdf","grobid_xml":"https://content.openalex.org/works/W4403791714.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1536682884","https://openalex.org/W2047391474","https://openalex.org/W2117223204","https://openalex.org/W2132579158","https://openalex.org/W2981670848","https://openalex.org/W3011906630","https://openalex.org/W3099032148","https://openalex.org/W3201519611","https://openalex.org/W4251247712"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574"],"abstract_inverted_index":{"Although":[0],"automatic":[1],"shot":[2,26,61],"transition":[3,62],"detection":[4,63],"approaches":[5,55],"are":[6,143],"already":[7],"investigated":[8],"for":[9,24,121,149],"more":[10],"than":[11],"two":[12],"decades,":[13],"an":[14,80],"effective":[15],"universal":[16],"human-level":[17],"model":[18,109,155],"was":[19],"not":[20],"proposed":[21,154],"yet.":[22],"Even":[23],"common":[25],"transitions":[27],"like":[28],"hard":[29],"cuts":[30],"or":[31],"simple":[32,146],"gradual":[33],"changes,":[34],"the":[35,58,88,108,119,131,140,153],"potential":[36],"diversity":[37],"of":[38,60,91,107,126,152,158],"analyzed":[39],"video":[40,128],"contents":[41],"may":[42],"still":[43,79],"lead":[44],"to":[45],"both":[46],"false":[47,50],"hits":[48],"and":[49,68,156],"dismissals.":[51],"Recently,":[52],"deep":[53,93],"learning-based":[54],"significantly":[56],"improved":[57],"accuracy":[59,77],"using":[64],"3D":[65],"convolutional":[66],"architectures":[67],"artificially":[69],"created":[70],"training":[71,141],"data.":[72],"Nevertheless,":[73],"one":[74],"hundred":[75],"percent":[76],"is":[78,110],"unreachable":[81],"ideal.":[82],"In":[83],"this":[84],"paper,":[85],"we":[86],"share":[87],"current":[89],"version":[90],"our":[92,137],"network":[94,132],"TransNet":[95],"V2":[96],"that":[97],"reaches":[98],"state-of-the-art":[99],"performance":[100],"on":[101],"respected":[102],"benchmarks.":[103],"A":[104],"trained":[105],"instance":[106],"provided":[111],"so":[112],"it":[113],"can":[114],"be":[115],"instantly":[116],"utilized":[117],"by":[118],"community":[120],"a":[122],"highly":[123],"efficient":[124],"analysis":[125],"large":[127],"archives.":[129],"Furthermore,":[130],"architecture,":[133],"as":[134,136],"well":[135],"experience":[138],"with":[139],"process,":[142],"detailed,":[144],"including":[145],"code":[147],"snippets":[148],"convenient":[150],"usage":[151],"visualization":[157],"results.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":6}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}
