{"id":"https://openalex.org/W2768010949","doi":"https://doi.org/10.1109/tcsvt.2017.2771247","title":"Video Summarization by Learning Deep Side Semantic Embedding","display_name":"Video Summarization by Learning Deep Side Semantic Embedding","publication_year":2017,"publication_date":"2017-11-08","ids":{"openalex":"https://openalex.org/W2768010949","doi":"https://doi.org/10.1109/tcsvt.2017.2771247","mag":"2768010949"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2017.2771247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2771247","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","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/A5011133696","display_name":"Yitian Yuan","orcid":"https://orcid.org/0000-0001-8701-7689"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yitian Yuan","raw_affiliation_strings":["Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017597537","display_name":"Tao Mei","orcid":"https://orcid.org/0000-0003-2497-7732"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Mei","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009228005","display_name":"Peng Cui","orcid":"https://orcid.org/0000-0003-2957-8511"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Cui","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339293","display_name":"Wenwu Zhu","orcid":"https://orcid.org/0000-0003-2236-9290"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwu Zhu","raw_affiliation_strings":["Tsinghua National Laboratory for Information Science and Technology, Beijing Key Laboratory of Networked Multimedia, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, Beijing Key Laboratory of Networked Multimedia, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011133696"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.0037,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.95069373,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"29","issue":"1","first_page":"226","last_page":"237"},"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":0.9972000122070312,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.9527256488800049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8637833595275879},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6297723650932312},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6290026903152466},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.603830099105835},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.583307683467865},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5775081515312195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5553459525108337},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4695102870464325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3396216034889221}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9527256488800049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8637833595275879},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6297723650932312},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6290026903152466},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.603830099105835},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.583307683467865},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5775081515312195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5553459525108337},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4695102870464325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3396216034889221},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2017.2771247","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2017.2771247","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G5526867466","display_name":null,"funder_award_id":"U1611461","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W129606432","https://openalex.org/W329267344","https://openalex.org/W1486649854","https://openalex.org/W1502713047","https://openalex.org/W1527575280","https://openalex.org/W1566289585","https://openalex.org/W1598774275","https://openalex.org/W1904325426","https://openalex.org/W1924343884","https://openalex.org/W1958932515","https://openalex.org/W1964073652","https://openalex.org/W1966451496","https://openalex.org/W1969732194","https://openalex.org/W1975029397","https://openalex.org/W1976806664","https://openalex.org/W1987366351","https://openalex.org/W2029163572","https://openalex.org/W2032342062","https://openalex.org/W2063249218","https://openalex.org/W2071711566","https://openalex.org/W2073258385","https://openalex.org/W2077528174","https://openalex.org/W2081712564","https://openalex.org/W2100857488","https://openalex.org/W2103908291","https://openalex.org/W2105174364","https://openalex.org/W2106229755","https://openalex.org/W2106639318","https://openalex.org/W2112912048","https://openalex.org/W2115857089","https://openalex.org/W2116946038","https://openalex.org/W2117539524","https://openalex.org/W2120645068","https://openalex.org/W2123024445","https://openalex.org/W2126532873","https://openalex.org/W2133834914","https://openalex.org/W2137183034","https://openalex.org/W2139009685","https://openalex.org/W2163527813","https://openalex.org/W2163605009","https://openalex.org/W2216674905","https://openalex.org/W2233620181","https://openalex.org/W2271840356","https://openalex.org/W2467794422","https://openalex.org/W2471931546","https://openalex.org/W2517959782","https://openalex.org/W2529272619","https://openalex.org/W2572061318","https://openalex.org/W2962714319","https://openalex.org/W2963220254","https://openalex.org/W2963240457","https://openalex.org/W2963919999","https://openalex.org/W3125189040","https://openalex.org/W6605295763","https://openalex.org/W6611303669","https://openalex.org/W6629028937","https://openalex.org/W6630225184","https://openalex.org/W6635799349","https://openalex.org/W6640109428","https://openalex.org/W6675954300","https://openalex.org/W6676647902","https://openalex.org/W6677302653","https://openalex.org/W6678470764","https://openalex.org/W6681240974","https://openalex.org/W6682423550","https://openalex.org/W6684191040","https://openalex.org/W6713349023","https://openalex.org/W6728272395"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123","https://openalex.org/W1517524280"],"abstract_inverted_index":{"With":[0],"the":[1,25,56,116,129,133,139,150,155,160,164,201,205,220,226],"rapid":[2],"growth":[3],"of":[4,78,81,132,159,223],"video":[5,7,62,82,90,112,140,169,231],"content,":[6],"summarization,":[8,91],"which":[9,35,137],"focuses":[10],"on":[11,38,212],"automatically":[12],"selecting":[13],"important":[14],"and":[15,72,142,154,171,216,218],"informative":[16],"parts":[17],"from":[18,194],"videos,":[19],"is":[20,27,92],"becoming":[21],"increasingly":[22],"crucial.":[23],"However,":[24],"problem":[26],"challenging":[28],"due":[29],"to":[30,49,110,200,225,230],"its":[31],"subjectiveness.":[32],"Previous":[33],"research,":[34],"predominantly":[36],"relies":[37],"manually":[39],"designed":[40],"criteria":[41],"or":[42],"resourcefully":[43],"expensive":[44],"human":[45],"annotations,":[46],"often":[47],"fails":[48],"achieve":[50],"satisfying":[51],"results.":[52],"We":[53,209],"observe":[54],"that":[55],"side":[57,85,105,119,143,172,202],"information":[58,167,173,203],"associated":[59],"with":[60],"a":[61,76,102,124],"(e.g.,":[63],"surrounding":[64],"text":[65],"such":[66],"as":[67],"titles,":[68],"queries,":[69],"descriptions,":[70],"comments,":[71],"so":[73],"on)":[74],"represents":[75],"kind":[77],"human-curated":[79],"semantics":[80],"content.":[83],"This":[84],"information,":[86,144],"although":[87],"valuable":[88],"for":[89],"overlooked":[93],"in":[94,204],"existing":[95],"approaches.":[96],"In":[97],"this":[98],"paper,":[99],"we":[100],"present":[101],"novel":[103],"deep":[104],"semantic":[106,151,181],"embedding":[107],"(DSSE)":[108],"model":[109],"generate":[111],"summaries":[113],"by":[114,127,147,196],"leveraging":[115],"freely":[117],"available":[118],"information.":[120],"The":[121],"DSSE":[122,224],"constructs":[123],"latent":[125,207],"subspace":[126],"correlating":[128],"hidden":[130],"layers":[131],"two":[134,161,213],"uni-modal":[135,162],"autoencoders,":[136,163],"embed":[138],"frames":[141,170],"respectively.":[145],"Specifically,":[146],"interactively":[148],"minimizing":[149,197],"relevance":[152,182],"loss":[153,158],"feature":[156],"reconstruction":[157],"comparable":[165],"common":[166],"between":[168],"can":[174,183],"be":[175,184],"more":[176,185],"completely":[177],"learned.":[178],"Therefore,":[179],"their":[180,198],"effectively":[186],"measured.":[187],"Finally,":[188],"semantically":[189],"meaningful":[190],"segments":[191],"are":[192],"selected":[193],"videos":[195],"distances":[199],"constructed":[206],"subspace.":[208],"conduct":[210],"experiments":[211],"datasets":[214],"(Thumb1K":[215],"TVSum50)":[217],"demonstrate":[219],"superior":[221],"performance":[222],"several":[227],"state-of-the-art":[228],"approaches":[229],"summarization.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
