{"id":"https://openalex.org/W4376602888","doi":"https://doi.org/10.1109/access.2023.3276321","title":"Deep Hybrid Neural Network With Attention Mechanism for Video Hash Retrieval Method","display_name":"Deep Hybrid Neural Network With Attention Mechanism for Video Hash Retrieval Method","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4376602888","doi":"https://doi.org/10.1109/access.2023.3276321"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3276321","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3276321","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10124767.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10124767.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058253405","display_name":"Kaixing Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaixing Wu","raw_affiliation_strings":["School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101656871","display_name":"Xu Li","orcid":"https://orcid.org/0000-0003-0043-7264"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":["School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China"],"raw_orcid":"https://orcid.org/0000-0003-0043-7264","affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058253405"],"corresponding_institution_ids":["https://openalex.org/I106079672"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5791,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67492276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"47956","last_page":"47966"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/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/T10812","display_name":"Human Pose and Action Recognition","score":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.8999830484390259},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6823825836181641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5121881365776062},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5039159655570984},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.4428308606147766},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38503724336624146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35279470682144165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.337179034948349},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.2915533781051636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8999830484390259},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6823825836181641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5121881365776062},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5039159655570984},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.4428308606147766},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38503724336624146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35279470682144165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.337179034948349},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2915533781051636},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3276321","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3276321","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10124767.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:add4d9b4ea304e6abdfc07f4ba2919c1","is_oa":true,"landing_page_url":"https://doaj.org/article/add4d9b4ea304e6abdfc07f4ba2919c1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 47956-47966 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3276321","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3276321","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10124767.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376602888.pdf","grobid_xml":"https://content.openalex.org/works/W4376602888.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1502916507","https://openalex.org/W1939575207","https://openalex.org/W1974647172","https://openalex.org/W2034014085","https://openalex.org/W2038276547","https://openalex.org/W2040918046","https://openalex.org/W2064675550","https://openalex.org/W2067766814","https://openalex.org/W2099736636","https://openalex.org/W2117539524","https://openalex.org/W2123737024","https://openalex.org/W2125378448","https://openalex.org/W2144530948","https://openalex.org/W2147717514","https://openalex.org/W2157331557","https://openalex.org/W2194775991","https://openalex.org/W2293824885","https://openalex.org/W2411707397","https://openalex.org/W2526428212","https://openalex.org/W2563615176","https://openalex.org/W2588651547","https://openalex.org/W2594227027","https://openalex.org/W2614042628","https://openalex.org/W2618530766","https://openalex.org/W2729738218","https://openalex.org/W2752782242","https://openalex.org/W2779140520","https://openalex.org/W2786585376","https://openalex.org/W2896025697","https://openalex.org/W2900790473","https://openalex.org/W2905966042","https://openalex.org/W2962798326","https://openalex.org/W2963297060","https://openalex.org/W2975813532","https://openalex.org/W2996456264","https://openalex.org/W2996754048","https://openalex.org/W3004085219","https://openalex.org/W3008007823","https://openalex.org/W3014440848","https://openalex.org/W3084172876","https://openalex.org/W3091778228","https://openalex.org/W3099677434","https://openalex.org/W3155284954","https://openalex.org/W3159735885","https://openalex.org/W3166240047","https://openalex.org/W4296262844","https://openalex.org/W6600983433","https://openalex.org/W6629956336","https://openalex.org/W6678556256","https://openalex.org/W6697214482","https://openalex.org/W6747585483","https://openalex.org/W6795889305"],"related_works":["https://openalex.org/W2944823289","https://openalex.org/W3037018281","https://openalex.org/W2972592048","https://openalex.org/W2358319515","https://openalex.org/W4321854979","https://openalex.org/W2003209439","https://openalex.org/W2497626292","https://openalex.org/W4312214821","https://openalex.org/W4361862506","https://openalex.org/W2390344072"],"abstract_inverted_index":{"With":[0],"the":[1,18,41,48,53,57,60,92,98,103,107,115,120,126,130,135,140,145,150,154,164,167,172,177,187,192,195,200,207,211,221,224],"advent":[2],"of":[3,9,40,119,129,149,166,223],"5G":[4],"technology,":[5],"a":[6,75,203],"large":[7],"amount":[8],"video":[10,32,36,43,69,84,94,151,155,214],"data":[11,169],"will":[12],"be":[13,182],"generated":[14],"and":[15,106,132,217],"uploaded":[16],"to":[17,28,113,124,143,152,162,185],"Internet":[19],"every":[20],"day,":[21],"which":[22,55,219],"makes":[23],"it":[24],"an":[25],"urgent":[26],"problem":[27,58],"effectively":[29,183],"retrieve":[30],"similar":[31],"content":[33],"from":[34],"massive":[35],"databases.":[37],"However,":[38],"most":[39],"existing":[42,193],"retrieval":[44,86,156,188,208],"methods":[45],"usually":[46],"ignore":[47],"time":[49],"information":[50,62,117,165,180],"contained":[51],"in":[52,206],"video,":[54,121],"causes":[56],"that":[59,199],"temporal":[61],"feature":[63],"is":[64],"not":[65],"obvious":[66],"when":[67],"extracting":[68],"features.":[70],"Therefore,":[71],"this":[72],"paper":[73],"proposes":[74],"deep":[76],"hybrid":[77],"neural":[78],"network":[79,100,112,141],"with":[80,102,191],"attention":[81,104],"mechanism":[82,105],"for":[83],"hash":[85,136,147],"method.":[87,225],"The":[88],"method":[89,201],"first":[90],"feeds":[91],"extracted":[93],"key":[95],"frames":[96],"into":[97,139],"residual":[99],"embedded":[101],"bidirectional":[108],"gated":[109],"recurrent":[110],"unit":[111],"extract":[114],"spatio-temporal":[116],"features":[118],"so":[122],"as":[123],"improve":[125,186],"representation":[127],"ability":[128],"features,":[131],"then":[133],"integrates":[134],"learning":[137],"technology":[138],"framework":[142],"generate":[144],"binary":[146],"code":[148],"shorten":[153],"time.":[157],"By":[158],"designing":[159],"objective":[160],"function":[161],"capture":[163],"global":[168],"structure":[170],"using":[171],"similarity":[173],"relationship":[174],"between":[175],"codes,":[176],"class":[178],"label":[179],"can":[181],"used":[184,213],"performance.":[189],"Compared":[190],"methods,":[194],"experimental":[196],"results":[197],"show":[198],"has":[202],"certain":[204],"improvement":[205],"accuracy":[209],"on":[210],"commonly":[212],"datasets":[215],"UCF-101":[216],"JHMDB,":[218],"verififies":[220],"feasibility":[222]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}