{"id":"https://openalex.org/W3203606403","doi":"https://doi.org/10.1109/access.2021.3118048","title":"Video Index Point Detection and Extraction Framework Using Custom YoloV4 Darknet Object Detection Model","display_name":"Video Index Point Detection and Extraction Framework Using Custom YoloV4 Darknet Object Detection Model","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3203606403","doi":"https://doi.org/10.1109/access.2021.3118048","mag":"3203606403"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3118048","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3118048","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09559985.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/6514899/09559985.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064342876","display_name":"Mehul Mahrishi","orcid":"https://orcid.org/0000-0002-8131-7741"},"institutions":[{"id":"https://openalex.org/I4210145362","display_name":"Institute of Technology Management","ror":"https://ror.org/03c4qaa56","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210145362","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mehul Mahrishi","raw_affiliation_strings":["Department of Information Technology, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajsathan, India"],"raw_orcid":"https://orcid.org/0000-0002-8131-7741","affiliations":[{"raw_affiliation_string":"Department of Information Technology, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajsathan, India","institution_ids":["https://openalex.org/I4210145362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035991172","display_name":"Sudha Morwal","orcid":null},"institutions":[{"id":"https://openalex.org/I102117144","display_name":"Banasthali University","ror":"https://ror.org/05ycegt40","country_code":"IN","type":"education","lineage":["https://openalex.org/I102117144"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudha Morwal","raw_affiliation_strings":["Department of Computer Science, Banasthali Vidhyapith, Niwai, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Banasthali Vidhyapith, Niwai, Rajasthan, India","institution_ids":["https://openalex.org/I102117144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076946760","display_name":"Abdul Wahab Muzaffar","orcid":"https://orcid.org/0000-0001-7910-0378"},"institutions":[{"id":"https://openalex.org/I120238654","display_name":"Saudi Electronic University","ror":"https://ror.org/05ndh7v49","country_code":"SA","type":"education","lineage":["https://openalex.org/I120238654"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdul Wahab Muzaffar","raw_affiliation_strings":["College of Computing and Informatics, Saudi Electronic University, Riyadh 11673, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-7910-0378","affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Saudi Electronic University, Riyadh 11673, Saudi Arabia","institution_ids":["https://openalex.org/I120238654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015205527","display_name":"Surbhi Bhatia","orcid":"https://orcid.org/0000-0003-3097-6568"},"institutions":[{"id":"https://openalex.org/I4626487","display_name":"King Faisal University","ror":"https://ror.org/00dn43547","country_code":"SA","type":"education","lineage":["https://openalex.org/I4626487"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Surbhi Bhatia","raw_affiliation_strings":["College of Computer science and information technology, King Faisal University, Saudi Arabia. (e-mail: surbhibhatia1988@yahoo.com)","College of Computer science and information technology, King Faisal University, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-3097-6568","affiliations":[{"raw_affiliation_string":"College of Computer science and information technology, King Faisal University, Saudi Arabia. (e-mail: surbhibhatia1988@yahoo.com)","institution_ids":["https://openalex.org/I4626487"]},{"raw_affiliation_string":"College of Computer science and information technology, King Faisal University, Saudi Arabia","institution_ids":["https://openalex.org/I4626487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026191243","display_name":"Pankaj Dadheech","orcid":"https://orcid.org/0000-0001-5783-1989"},"institutions":[{"id":"https://openalex.org/I4210145362","display_name":"Institute of Technology Management","ror":"https://ror.org/03c4qaa56","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210145362","https://openalex.org/I4210150591"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pankaj Dadheech","raw_affiliation_strings":["Department of Computer Science & Engineering,Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajsathan, India"],"raw_orcid":"https://orcid.org/0000-0001-5783-1989","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering,Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajsathan, India","institution_ids":["https://openalex.org/I4210145362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009648941","display_name":"Mohammad Khalid Imam Rahmani","orcid":"https://orcid.org/0000-0002-1937-7145"},"institutions":[{"id":"https://openalex.org/I120238654","display_name":"Saudi Electronic University","ror":"https://ror.org/05ndh7v49","country_code":"SA","type":"education","lineage":["https://openalex.org/I120238654"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammad Khalid Imam Rahmani","raw_affiliation_strings":["College of Computing and Informatics, Saudi Electronic University, Riyadh 11673, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-1937-7145","affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Saudi Electronic University, Riyadh 11673, Saudi Arabia","institution_ids":["https://openalex.org/I120238654"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064342876"],"corresponding_institution_ids":["https://openalex.org/I4210145362"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.6854,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.94549622,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"143378","last_page":"143391"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"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":0.8934392333030701},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.8000417947769165},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5534053444862366},{"id":"https://openalex.org/keywords/database-index","display_name":"Database index","score":0.5297861099243164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4979555606842041},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49604734778404236},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46813711524009705},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.45970970392227173},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.4560607969760895},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45492640137672424},{"id":"https://openalex.org/keywords/video-content-analysis","display_name":"Video content analysis","score":0.4460182189941406},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4386008679866791},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4168863594532013},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41218721866607666},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.36108332872390747},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.358852744102478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34831106662750244},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20698794722557068},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13584944605827332}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8934392333030701},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8000417947769165},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5534053444862366},{"id":"https://openalex.org/C59276292","wikidata":"https://www.wikidata.org/wiki/Q580427","display_name":"Database index","level":3,"score":0.5297861099243164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4979555606842041},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49604734778404236},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46813711524009705},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.45970970392227173},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4560607969760895},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45492640137672424},{"id":"https://openalex.org/C2778598663","wikidata":"https://www.wikidata.org/wiki/Q1407599","display_name":"Video content analysis","level":4,"score":0.4460182189941406},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4386008679866791},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4168863594532013},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41218721866607666},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.36108332872390747},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.358852744102478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34831106662750244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20698794722557068},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13584944605827332},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3118048","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3118048","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09559985.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9aef2e59a69a47fbb7da0ffe08b97256","is_oa":true,"landing_page_url":"https://doaj.org/article/9aef2e59a69a47fbb7da0ffe08b97256","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 9, Pp 143378-143391 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3118048","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3118048","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09559985.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320320737","display_name":"Amity University","ror":"https://ror.org/02n9z0v62"},{"id":"https://openalex.org/F4320321426","display_name":"Aligarh Muslim University","ror":"https://ror.org/03kw9gc02"},{"id":"https://openalex.org/F4320322804","display_name":"Deanship of Scientific Research, King Faisal University","ror":"https://ror.org/00dn43547"},{"id":"https://openalex.org/F4320324211","display_name":"Ministry of Economy","ror":"https://ror.org/02fn8ac40"},{"id":"https://openalex.org/F4320324282","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17"},{"id":"https://openalex.org/F4320331156","display_name":"King Faisal University","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3203606403.pdf","grobid_xml":"https://content.openalex.org/works/W3203606403.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1164457500","https://openalex.org/W1488980229","https://openalex.org/W1862888253","https://openalex.org/W1923404803","https://openalex.org/W1999330266","https://openalex.org/W2015048791","https://openalex.org/W2016053056","https://openalex.org/W2029263174","https://openalex.org/W2029991575","https://openalex.org/W2041259983","https://openalex.org/W2063339698","https://openalex.org/W2074932724","https://openalex.org/W2084390077","https://openalex.org/W2098733033","https://openalex.org/W2115105883","https://openalex.org/W2118212114","https://openalex.org/W2126527906","https://openalex.org/W2152156227","https://openalex.org/W2157341099","https://openalex.org/W2186721211","https://openalex.org/W2332102917","https://openalex.org/W2521450416","https://openalex.org/W2547535201","https://openalex.org/W2577619402","https://openalex.org/W2593771653","https://openalex.org/W2621515675","https://openalex.org/W2666798396","https://openalex.org/W2776933684","https://openalex.org/W2777020938","https://openalex.org/W2783941370","https://openalex.org/W2796802830","https://openalex.org/W2810217533","https://openalex.org/W2908469318","https://openalex.org/W2937661251","https://openalex.org/W2950846997","https://openalex.org/W2964152890","https://openalex.org/W2977667346","https://openalex.org/W2992558957","https://openalex.org/W2998032915","https://openalex.org/W2998707479","https://openalex.org/W3004686108","https://openalex.org/W3005122371","https://openalex.org/W3006054358","https://openalex.org/W3039151056","https://openalex.org/W3083663238","https://openalex.org/W3109496389","https://openalex.org/W3112404983","https://openalex.org/W3118879208","https://openalex.org/W3170845465","https://openalex.org/W4401048855","https://openalex.org/W6638891705","https://openalex.org/W6677678350","https://openalex.org/W6693493313","https://openalex.org/W6761131333"],"related_works":["https://openalex.org/W3140834074","https://openalex.org/W3038672259","https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2913302899","https://openalex.org/W2801801420","https://openalex.org/W2160484851","https://openalex.org/W3177406559","https://openalex.org/W2599501291","https://openalex.org/W2784122118"],"abstract_inverted_index":{"The":[0,34,128,149,236],"trend":[1],"of":[2,7,17,26,31,52,61,75,86,164,167,171,209,215],"learning":[3],"from":[4],"videos":[5,18,166],"instead":[6],"documents":[8],"has":[9],"increased.":[10],"There":[11],"could":[12],"be":[13],"hundreds":[14],"and":[15,29,91,96,102,120,158,203,218,226],"thousands":[16],"on":[19,153,161],"a":[20,45,87,100,126,144,162,184,245],"single":[21],"topic,":[22],"with":[23,183,248],"varying":[24],"degrees":[25],"context,":[27],"content,":[28],"depth":[30],"the":[32,50,57,73,84,110,191,197,240],"topic.":[33],"literature":[35],"claims":[36],"that":[37,239],"learners":[38],"are":[39,132],"nowadays":[40],"less":[41],"interested":[42],"in":[43,72,213,251],"viewing":[44],"complete":[46],"video":[47,62,89,114,156],"but":[48],"prefers":[49],"topic":[51,252],"their":[53],"interests.":[54],"This":[55,105],"develops":[56],"need":[58,111],"for":[59,112,116,233],"indexing":[60,68,79,95,115],"lectures.":[63],"Manual":[64],"annotation":[65,97],"or":[66],"topic-wise":[67],"is":[69,80,151,177,221],"not":[70],"new":[71],"case":[74],"videos.":[76],"However,":[77],"manual":[78],"time-consuming":[81],"due":[82],"to":[83,108,134,200],"length":[85],"typical":[88],"lecture":[90],"intricate":[92],"storylines.":[93],"Automatic":[94],"is,":[98],"therefore,":[99],"better":[101,117],"efficient":[103],"solution.":[104],"research":[106],"aims":[107],"identify":[109],"automatic":[113],"information":[118],"retrieval":[119],"ease":[121],"users":[122],"navigating":[123],"topics":[124,131],"inside":[125],"video.":[127,235],"automatically":[129],"identified":[130],"referred":[133],"as":[135],"\u201cIndex":[136],"Points.\u201d":[137],"137-layer":[138],"YoloV4":[139],"Darknet":[140],"Neural":[141],"Network":[142],"creates":[143],"custom":[145],"object":[146],"detector":[147],"model.":[148],"model":[150],"trained":[152],"approximately":[154,201],"6000":[155],"frames":[157],"then":[159],"tested":[160],"suite":[163],"50":[165],"around":[168,205],"20":[169],"hours":[170],"run":[172],"time.":[173],"Shot":[174],"Boundary":[175],"detection":[176],"performed":[178],"using":[179],"Structural":[180],"Similarity":[181],"fused":[182],"Binary":[185],"Search":[186],"Pattern":[187],"algorithm":[188,242],"which":[189,229],"outperformed":[190],"state-of-the-art":[192],"SSIM":[193],"technique":[194],"by":[195],"reducing":[196],"processing":[198],"time":[199],"21%":[202],"providing":[204],"96%":[206],"accuracy.":[207],"Generation":[208],"accurate":[210],"index":[211,247],"points":[212],"terms":[214],"true":[216],"positives":[217],"false":[219],"negatives":[220],"detected":[222],"through":[223],"precision,":[224],"recall,":[225],"F1":[227],"score,":[228],"varies":[230],"between":[231],"60-80%":[232],"every":[234],"results":[237],"show":[238],"proposed":[241],"successfully":[243],"generates":[244],"digital":[246],"reasonable":[249],"accuracy":[250],"detection.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
