{"id":"https://openalex.org/W3080536776","doi":"https://doi.org/10.1145/3409501.3409542","title":"A Detection Method for DeepFake Hard Compressed Videos based on Super-resolution Reconstruction Using CNN","display_name":"A Detection Method for DeepFake Hard Compressed Videos based on Super-resolution Reconstruction Using CNN","publication_year":2020,"publication_date":"2020-07-03","ids":{"openalex":"https://openalex.org/W3080536776","doi":"https://doi.org/10.1145/3409501.3409542","mag":"3080536776"},"language":"en","primary_location":{"id":"doi:10.1145/3409501.3409542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409501.3409542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068293303","display_name":"Hongmeng Zhang","orcid":"https://orcid.org/0000-0001-7322-5057"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Hongmeng","raw_affiliation_strings":["Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhu Zhiqiang","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Zhiqiang","raw_affiliation_strings":["Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777482","display_name":"Lei Sun","orcid":"https://orcid.org/0000-0001-6010-3392"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Lei","raw_affiliation_strings":["Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049423121","display_name":"Xiuqing Mao","orcid":"https://orcid.org/0000-0002-7305-8831"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao Xiuqing","raw_affiliation_strings":["Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wang Yuehan","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Yuehan","raw_affiliation_strings":["Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998000264167786,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.994700014591217,"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":0.8685330152511597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6953032612800598},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6668727397918701},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6377473473548889},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5132019519805908},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.48382869362831116},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4755411148071289},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46685296297073364},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43727946281433105},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4111443758010864},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27625712752342224},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17833682894706726}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8685330152511597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6953032612800598},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6668727397918701},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6377473473548889},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5132019519805908},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.48382869362831116},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4755411148071289},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46685296297073364},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43727946281433105},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4111443758010864},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27625712752342224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17833682894706726},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3409501.3409542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409501.3409542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2063101309","https://openalex.org/W2157331557","https://openalex.org/W2172073677","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2695362798","https://openalex.org/W2737804889","https://openalex.org/W2794857359","https://openalex.org/W2798664922","https://openalex.org/W2891145043","https://openalex.org/W2898877033","https://openalex.org/W2911424785","https://openalex.org/W2913399670","https://openalex.org/W2945262873","https://openalex.org/W2963446712","https://openalex.org/W2963684180","https://openalex.org/W2982058372","https://openalex.org/W6687483927","https://openalex.org/W6725739302","https://openalex.org/W6762480454"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2560215812","https://openalex.org/W2378166785","https://openalex.org/W4389989350","https://openalex.org/W3166902592"],"abstract_inverted_index":{"The":[0],"DeepFake":[1,20,48],"video":[2,49,107],"detection":[3,42,121,128],"method":[4,43,116],"based":[5],"on":[6],"convolutional":[7],"neural":[8,82],"networks":[9,40],"has":[10],"a":[11,23,39],"poor":[12],"performance":[13],"in":[14,127],"the":[15,32,55,73,87,99,106,114,119,125],"dataset":[16],"of":[17,26,47,53,58,95,129],"hard":[18],"compressed":[19],"video.":[21],"And":[22],"large":[24],"number":[25],"false":[27,120],"tests":[28],"will":[29],"occur":[30],"to":[31,104],"real":[33,59,74],"data.":[34,97],"To":[35],"solve":[36],"this":[37],"problem,":[38],"model":[41,101],"for":[44,84,92],"super-resolution":[45,93,109],"reconstruction":[46,94],"is":[50,61,67,90,102],"proposed.":[51],"First":[52],"all,":[54],"face":[56],"area":[57],"data":[60,75,78],"processed":[62],"by":[63],"Gaussian":[64],"blur,":[65],"which":[66],"converted":[68],"into":[69,81],"negative":[70],"data,":[71],"and":[72,76,123],"processing":[77],"are":[79],"input":[80],"network":[83,89],"training.":[85],"Then":[86],"residual":[88],"used":[91,103],"test":[96,105],"Finally,":[98],"trained":[100],"after":[108],"reconstruction.":[110],"Experiments":[111],"show":[112],"that":[113],"proposed":[115],"can":[117],"reduce":[118],"rate":[122],"improve":[124],"accuracy":[126],"single":[130],"frames.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}