{"id":"https://openalex.org/W2950579554","doi":"https://doi.org/10.1109/tpami.2019.2920899","title":"Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning","display_name":"Reconstruct and Represent Video Contents for Captioning via Reinforcement Learning","publication_year":2019,"publication_date":"2019-06-05","ids":{"openalex":"https://openalex.org/W2950579554","doi":"https://doi.org/10.1109/tpami.2019.2920899","mag":"2950579554","pmid":"https://pubmed.ncbi.nlm.nih.gov/31180887"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2019.2920899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2920899","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100756628","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-5556-3896"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008341143","display_name":"Bairui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bairui Wang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017116858","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0002-7331-6132"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100431792","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3865-8145"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100756628"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":5.0062,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.96243576,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"42","issue":"12","first_page":"3088","last_page":"3101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","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/T11714","display_name":"Multimodal Machine Learning Applications","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9973999857902527,"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":0.996999979019165,"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/closed-captioning","display_name":"Closed captioning","score":0.9616551995277405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.839572548866272},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7278753519058228},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6163471937179565},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6089692711830139},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5935071110725403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4997096061706543},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4320793151855469},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42954084277153015},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20859426259994507}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.9616551995277405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.839572548866272},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7278753519058228},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6163471937179565},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6089692711830139},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5935071110725403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4997096061706543},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4320793151855469},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42954084277153015},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20859426259994507},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2019.2920899","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2019.2920899","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:31180887","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31180887","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5189178657","display_name":null,"funder_award_id":"61573222","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":97,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W877909479","https://openalex.org/W1522301498","https://openalex.org/W1573040851","https://openalex.org/W1586939924","https://openalex.org/W1596841185","https://openalex.org/W1601567445","https://openalex.org/W1889081078","https://openalex.org/W1895577753","https://openalex.org/W1916445035","https://openalex.org/W1927052826","https://openalex.org/W1956340063","https://openalex.org/W2016053056","https://openalex.org/W2064675550","https://openalex.org/W2100495367","https://openalex.org/W2101105183","https://openalex.org/W2110933980","https://openalex.org/W2112912048","https://openalex.org/W2117539524","https://openalex.org/W2122476475","https://openalex.org/W2123301721","https://openalex.org/W2125308790","https://openalex.org/W2133564696","https://openalex.org/W2139501017","https://openalex.org/W2142900973","https://openalex.org/W2154652894","https://openalex.org/W2164290393","https://openalex.org/W2176263492","https://openalex.org/W2187089797","https://openalex.org/W2274287116","https://openalex.org/W2289988710","https://openalex.org/W2411707397","https://openalex.org/W2425121537","https://openalex.org/W2463955103","https://openalex.org/W2483935403","https://openalex.org/W2507365558","https://openalex.org/W2508429489","https://openalex.org/W2523993696","https://openalex.org/W2527349934","https://openalex.org/W2528777330","https://openalex.org/W2546938941","https://openalex.org/W2550553598","https://openalex.org/W2556388456","https://openalex.org/W2598003564","https://openalex.org/W2604141702","https://openalex.org/W2607119937","https://openalex.org/W2607151106","https://openalex.org/W2608022654","https://openalex.org/W2621571501","https://openalex.org/W2678677036","https://openalex.org/W2739107216","https://openalex.org/W2777737607","https://openalex.org/W2788710361","https://openalex.org/W2885013662","https://openalex.org/W2962681491","https://openalex.org/W2962799512","https://openalex.org/W2962937869","https://openalex.org/W2963084599","https://openalex.org/W2963149042","https://openalex.org/W2963213486","https://openalex.org/W2963248296","https://openalex.org/W2963351113","https://openalex.org/W2963421891","https://openalex.org/W2963551569","https://openalex.org/W2963576560","https://openalex.org/W2963672682","https://openalex.org/W2963753226","https://openalex.org/W2963774520","https://openalex.org/W2963843052","https://openalex.org/W2964121744","https://openalex.org/W2964199361","https://openalex.org/W2964241990","https://openalex.org/W2964253311","https://openalex.org/W2964308564","https://openalex.org/W2964350391","https://openalex.org/W6600284362","https://openalex.org/W6623995992","https://openalex.org/W6631190155","https://openalex.org/W6636501129","https://openalex.org/W6639432524","https://openalex.org/W6676647902","https://openalex.org/W6678029491","https://openalex.org/W6678262379","https://openalex.org/W6678384486","https://openalex.org/W6679434410","https://openalex.org/W6682631176","https://openalex.org/W6684090549","https://openalex.org/W6685322675","https://openalex.org/W6685670348","https://openalex.org/W6728657223","https://openalex.org/W6729383884","https://openalex.org/W6730083651","https://openalex.org/W6735368939","https://openalex.org/W6737005002","https://openalex.org/W6740590407","https://openalex.org/W6748308768","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W2775506363","https://openalex.org/W3088136942","https://openalex.org/W4290852288","https://openalex.org/W2949362007","https://openalex.org/W4388893791","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314","https://openalex.org/W2949522393"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,25,63,69,78,92,97,108,114,125,132,143,147,152,159,167,180,190,195],"problem":[4],"of":[5,9,27,68,85,124,135,197],"describing":[6],"visual":[7],"contents":[8,29],"a":[10,32,37,42,74,121],"video":[11,20,28,60,80,98,126,198],"sequence":[12,111],"with":[13],"natural":[14],"language":[15,33],"is":[16,169],"addressed.":[17],"Unlike":[18],"previous":[19],"captioning":[21,181,199],"work":[22],"mainly":[23],"exploiting":[24],"cues":[26],"to":[30,51,56,72,90,119,130],"make":[31,120],"description,":[34],"we":[35,128],"propose":[36,129],"reconstruction":[38,123,148],"network":[39],"(RecNet)":[40],"in":[41,117,162],"novel":[43],"encoder-decoder-reconstructor":[44],"architecture,":[45],"which":[46,177],"leverages":[47],"both":[48],"forward":[49,70],"(video":[50],"sentence)":[52],"and":[53,95,102,146],"backward":[54,93],"(sentence":[55],"video)":[57],"flows":[58],"for":[59],"captioning.":[61],"Specifically,":[62],"encoder-decoder":[64,144],"component":[65,145],"makes":[66],"use":[67],"flow":[71,94],"produce":[73],"sentence":[75],"based":[76],"on":[77,107,185],"encoded":[79],"semantic":[81],"features.":[82],"Two":[83],"types":[84,134],"reconstructors":[86,136],"are":[87,154],"subsequently":[88],"proposed":[89,160,191],"employ":[91],"reproduce":[96],"features":[99],"from":[100],"local":[101],"global":[103],"perspectives,":[104],"respectively,":[105],"capitalizing":[106],"hidden":[109],"state":[110],"generated":[112],"by":[113,142,151,171],"decoder.":[115],"Moreover,":[116],"order":[118],"comprehensive":[122],"features,":[127],"fuse":[131],"two":[133],"together.":[137],"The":[138],"generation":[139],"loss":[140,149],"yielded":[141],"introduced":[150],"reconstructor":[153,192],"jointly":[155],"cast":[156],"into":[157],"training":[158],"RecNet":[161,168],"an":[163],"end-to-end":[164],"fashion.":[165],"Furthermore,":[166],"fine-tuned":[170],"CIDEr":[172],"optimization":[173],"via":[174],"reinforcement":[175],"learning,":[176],"significantly":[178],"boosts":[179],"performance.":[182],"Experimental":[183],"results":[184],"benchmark":[186],"datasets":[187],"demonstrate":[188],"that":[189],"can":[193],"boost":[194],"performance":[196],"consistently.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
