{"id":"https://openalex.org/W3199751882","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533485","title":"A News Image Locating Approach Based on Cross-Modal RNN with An Encoding Updating Mechanism","display_name":"A News Image Locating Approach Based on Cross-Modal RNN with An Encoding Updating Mechanism","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3199751882","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533485","mag":"3199751882"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5022241697","display_name":"K.C. Wong","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wong","raw_affiliation_strings":["School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052173035","display_name":"Jingqiang Chen","orcid":"https://orcid.org/0000-0001-7242-0141"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingqiang Chen","raw_affiliation_strings":["School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11375623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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":1.0,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8014162182807922},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5664767026901245},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5525194406509399},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5490390062332153},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5135574340820312},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5084811449050903},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5002295970916748},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.47973528504371643},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4796357750892639},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4648783206939697},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4554540514945984},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3219150900840759},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.11515140533447266},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09740597009658813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014162182807922},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5664767026901245},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5525194406509399},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5490390062332153},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5135574340820312},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5084811449050903},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5002295970916748},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47973528504371643},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4796357750892639},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4648783206939697},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4554540514945984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3219150900840759},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.11515140533447266},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09740597009658813},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1686810756","https://openalex.org/W1773149199","https://openalex.org/W1902237438","https://openalex.org/W1931639407","https://openalex.org/W2115613106","https://openalex.org/W2133564696","https://openalex.org/W2507756961","https://openalex.org/W2508865106","https://openalex.org/W2546696630","https://openalex.org/W2560920409","https://openalex.org/W2891444075","https://openalex.org/W2896457183","https://openalex.org/W2905562398","https://openalex.org/W2940745042","https://openalex.org/W2945260553","https://openalex.org/W2949615363","https://openalex.org/W2962845008","https://openalex.org/W2963080533","https://openalex.org/W2963109634","https://openalex.org/W2964121744","https://openalex.org/W2964199361","https://openalex.org/W2964276596","https://openalex.org/W2964308564","https://openalex.org/W2970335083","https://openalex.org/W2970488023","https://openalex.org/W2970849009","https://openalex.org/W4294170691","https://openalex.org/W4385245566","https://openalex.org/W6630875275","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6632455782","https://openalex.org/W6637373629","https://openalex.org/W6679434410","https://openalex.org/W6725015247","https://openalex.org/W6725207838","https://openalex.org/W6729399837","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6762122294"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W2810679507"],"abstract_inverted_index":{"Image":[0],"plays":[1],"an":[2,35,110,124],"important":[3],"role":[4],"in":[5,112],"news":[6,47,113,133,154],"articles.":[7],"Appropriate":[8],"image":[9,79,111,137,155],"arrangements":[10],"can":[11],"well":[12,159],"transmit":[13],"scene":[14],"information":[15,117],"and":[16,80,93,177],"help":[17],"readers":[18],"understand":[19],"more":[20],"clearly.":[21],"This":[22],"paper":[23],"proposes":[24],"a":[25,46,86,162],"neural":[26],"model":[27,54,186],"based":[28],"on":[29,152,203],"the":[30,56,60,67,75,78,83,94,97,101,116,119,129,132,136,141,148,153,167,170,174,184,191],"cross-modal":[31],"RNN":[32],"equipped":[33],"with":[34],"encoding":[36,130],"updating":[37,125],"mechanism":[38,126],"to":[39,66,73,106,127,150,195],"insert":[40],"images":[41],"into":[42],"proper":[43],"positions":[44],"of":[45,58,88,118,131,143],"document":[48,134],"sequentially.":[49],"For":[50],"each":[51],"image,":[52],"our":[53,144],"selects":[55],"position":[57],"which":[59],"surrounding":[61,81],"sentences":[62],"are":[63,71,147],"most":[64],"relevant":[65],"image.":[68],"Two":[69],"methods":[70],"employed":[72],"score":[74],"relevance":[76],"between":[77],"sentences:":[82],"one":[84],"employs":[85,96],"layer":[87],"convolution":[89],"network":[90,193],"before":[91],"scoring,":[92],"other":[95],"pooling":[98],"operation":[99],"after":[100,135],"scoring.":[102],"It":[103],"is":[104,138,201],"reasonable":[105],"believe":[107],"that":[108,183],"inserting":[109],"will":[114],"render":[115],"news.":[120],"We":[121,165],"hence":[122],"introduce":[123],"update":[128],"inserted.":[139],"To":[140],"best":[142],"knowledge,":[145],"we":[146],"first":[149],"focus":[151],"locating":[156],"problem,":[157],"as":[158,160],"provide":[161],"feasible":[163],"solution.":[164],"create":[166],"dataset":[168],"for":[169],"problem":[171],"by":[172],"extending":[173],"DailyMail":[175],"corpora":[176],"carry":[178],"out":[179],"experiments.":[180],"Experiments":[181],"show":[182],"proposed":[185],"outperforms":[187],"four":[188],"baselines":[189],"including":[190],"pointer":[192],"according":[194],"two":[196],"evaluation":[197],"metrics.":[198],"The":[199],"code":[200],"released":[202],"Github":[204],"<sup":[205,208],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[206,209],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[207,210],"https://github.com/njupt-summ/ImageLocating.":[211]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}