{"id":"https://openalex.org/W2941328520","doi":"https://doi.org/10.1109/iccubea.2018.8697360","title":"Image Caption Generation Using Deep Learning Technique","display_name":"Image Caption Generation Using Deep Learning Technique","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2941328520","doi":"https://doi.org/10.1109/iccubea.2018.8697360","mag":"2941328520"},"language":"en","primary_location":{"id":"doi:10.1109/iccubea.2018.8697360","doi":"https://doi.org/10.1109/iccubea.2018.8697360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccubea.2018.8697360","pdf_url":null,"source":{"id":"https://openalex.org/S4306419281","display_name":"International Conference on Computing Communication Control and automation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5067502162","display_name":"Chetan Amritkar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261743","display_name":"Vishwakarma Institute of Technology","ror":"https://ror.org/05sj18h57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405261743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chetan Amritkar","raw_affiliation_strings":["Department of EnTC, Vishwakarma Institute of Technology, Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EnTC, Vishwakarma Institute of Technology, Pune, India","institution_ids":["https://openalex.org/I4405261743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048188986","display_name":"Vaishali Jabade","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261743","display_name":"Vishwakarma Institute of Technology","ror":"https://ror.org/05sj18h57","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405261743"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vaishali Jabade","raw_affiliation_strings":["Department of EnTC, Vishwakarma Institute of Technology, Pune, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EnTC, Vishwakarma Institute of Technology, Pune, India","institution_ids":["https://openalex.org/I4405261743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405261743"],"apc_list":null,"apc_paid":null,"fwci":1.0987,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.88174901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9984999895095825,"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":0.9984999895095825,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0006000000284984708,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0003000000142492354,"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/image-captioning","display_name":"image captioning","score":0.9240000247955322},{"id":"https://openalex.org/keywords/image-description-generation","display_name":"image description generation","score":0.6589999794960022},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8360000252723694},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":1.0},{"id":"https://openalex.org/keywords/hybrid-cnn-rnn-model","display_name":"hybrid CNN-RNN model","score":0.640999972820282},{"id":"https://openalex.org/keywords/image-feature-extraction","display_name":"image feature extraction","score":0.8389999866485596},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"natural language generation","score":0.6800000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8676542043685913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7795057892799377},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6774837970733643},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5899616479873657},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.555065929889679},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5366107821464539},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5193070769309998},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5087199807167053},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47944918274879456},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.46020811796188354},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4581618905067444},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4471622705459595},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4419354796409607},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4409847557544708},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4393324553966522},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4025714695453644},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccubea.2018.8697360","doi":"https://doi.org/10.1109/iccubea.2018.8697360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccubea.2018.8697360","pdf_url":null,"source":{"id":"https://openalex.org/S4306419281","display_name":"International Conference on Computing Communication Control and automation","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W8316075","https://openalex.org/W1514535095","https://openalex.org/W1686810756","https://openalex.org/W1811254738","https://openalex.org/W1858383477","https://openalex.org/W1895577753","https://openalex.org/W1895989618","https://openalex.org/W1897761818","https://openalex.org/W1905882502","https://openalex.org/W1947481528","https://openalex.org/W1969616664","https://openalex.org/W1987835821","https://openalex.org/W2098524862","https://openalex.org/W2109586012","https://openalex.org/W2119775030","https://openalex.org/W2126384256","https://openalex.org/W2133564696","https://openalex.org/W2149172860","https://openalex.org/W2220981600","https://openalex.org/W2500830883","https://openalex.org/W2599199509","https://openalex.org/W2735553491","https://openalex.org/W2964308564","https://openalex.org/W6676497082"],"related_works":["https://openalex.org/W4386388844","https://openalex.org/W6912673241","https://openalex.org/W4380303421","https://openalex.org/W4404384645","https://openalex.org/W3137731097","https://openalex.org/W3119789064","https://openalex.org/W3162682897","https://openalex.org/W4243606101","https://openalex.org/W4396220120","https://openalex.org/W4367050119"],"abstract_inverted_index":{"In":[0],"Artificial":[1],"Intelligence":[2],"(AI),":[3],"the":[4,48,101],"contents":[5],"of":[6,53,105,111],"an":[7,134],"image":[8,71,90,116],"are":[9],"generated":[10],"automatically":[11],"which":[12,24,45,98],"involves":[13],"computer":[14,32],"vision":[15,33],"and":[16,34,72,107],"NLP":[17],"(Natural":[18],"Language":[19],"Processing).":[20],"The":[21,63,79,103],"neural":[22],"model":[23,38,51,80,94,106,113,127],"is":[25,27,39,65,74,81,91,118,128],"regenerative,":[26],"created.":[28],"It":[29],"depends":[30],"on":[31,120],"machine":[35],"translation.":[36],"This":[37,50],"used":[40,66,75],"to":[41,93],"generate":[42],"natural":[43],"sentences":[44],"eventually":[46],"describes":[47,100],"image.":[49,102,136],"consists":[52],"Convolutional":[54],"Neural":[55,61],"Network(CNN)":[56],"as":[57,59],"well":[58],"Recurrent":[60],"Network(RNN).":[62],"CNN":[64],"for":[67,76,133],"feature":[68],"extraction":[69],"from":[70,115],"RNN":[73],"sentence":[77],"generation.":[78],"trained":[82],"in":[83],"such":[84],"a":[85],"way":[86],"that":[87,126],"if":[88],"input":[89,135],"given":[92],"it":[95],"generates":[96],"captions":[97],"nearly":[99],"accuracy":[104],"smoothness":[108],"or":[109],"command":[110],"language":[112],"learns":[114],"descriptions":[117,132],"tested":[119],"different":[121],"datasets.":[122],"These":[123],"experiments":[124],"show":[125],"frequently":[129],"giving":[130],"accurate":[131]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-05-03T00:00:00"}