{"id":"https://openalex.org/W4402980278","doi":"https://doi.org/10.1109/icme57554.2024.10687883","title":"A Fast and Tunable Privacy-Preserving Action Recognition Framework over Compressed Video","display_name":"A Fast and Tunable Privacy-Preserving Action Recognition Framework over Compressed Video","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980278","doi":"https://doi.org/10.1109/icme57554.2024.10687883"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5001341163","display_name":"Qingfeng Zheng","orcid":"https://orcid.org/0000-0002-9236-6178"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingfeng Zheng","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069998992","display_name":"Peijia Zheng","orcid":"https://orcid.org/0000-0003-0979-8613"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijia Zheng","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102785655","display_name":"Weiqi Luo","orcid":"https://orcid.org/0000-0002-8999-6064"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Luo","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083054357","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0002-4068-1766"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001341163"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.3862,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67636682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9858999848365784,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9843000173568726,"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":0.7406465411186218},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6647369265556335},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5192213654518127},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4452452063560486},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4335797429084778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3944542407989502},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3614880442619324},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3442983329296112}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7406465411186218},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6647369265556335},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5192213654518127},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4452452063560486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4335797429084778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3944542407989502},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3614880442619324},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3442983329296112},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme57554.2024.10687883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2015157385","https://openalex.org/W2058256495","https://openalex.org/W2507009361","https://openalex.org/W2526578496","https://openalex.org/W2614128781","https://openalex.org/W2884985453","https://openalex.org/W2950689937","https://openalex.org/W2953354017","https://openalex.org/W2962712356","https://openalex.org/W2963155035","https://openalex.org/W2963370182","https://openalex.org/W2963524571","https://openalex.org/W2968547179","https://openalex.org/W2979581740","https://openalex.org/W2990503944","https://openalex.org/W4212975908","https://openalex.org/W4312769131","https://openalex.org/W4312956971","https://openalex.org/W4313066449"],"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/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"Deep":[0],"learning":[1,94],"solutions":[2],"for":[3,44,96],"privacy":[4,18,110],"anonymization":[5,42],"in":[6,16,87,108],"video":[7,35,45,48,62,68],"action":[8,29,98,114],"recognition":[9,30],"face":[10],"significant":[11,118],"computational":[12],"challenges":[13],"and":[14,66,91],"difficulties":[15],"collecting":[17],"labels.":[19],"To":[20],"address":[21],"these":[22],"issues,":[23],"we":[24],"propose":[25,79],"a":[26,71,80,117],"fast":[27],"privacy-preserving":[28],"framework":[31,38,106],"based":[32],"on":[33],"compressed":[34,53,57,67,85],"bitstreams.":[36],"Our":[37,121],"introduces":[39],"two":[40],"novel":[41],"methods":[43],"bitstreams,":[46],"transforming":[47],"data":[49,58,69,73,86],"directly":[50],"within":[51],"the":[52,88],"domain":[54,90],"into":[55],"anonymized":[56,65,84],"to":[59,82],"protect":[60],"sensitive":[61],"information.":[63],"The":[64,100],"exhibits":[70],"compact":[72],"representation,":[74],"enhancing":[75],"transmission":[76],"efficiency.":[77],"We":[78],"technique":[81],"reconstruct":[83],"spatial":[89],"utilize":[92],"deep":[93],"technology":[95],"high-accuracy":[97],"recognition.":[99],"experiment":[101],"results":[102],"demonstrate":[103],"that":[104],"our":[105],"excels":[107],"balancing":[109],"protection":[111],"performance":[112],"with":[113],"recognition,":[115],"showing":[116],"trade-off":[119],"advantage.":[120],"approach":[122],"also":[123],"achieves":[124],"an":[125],"operational":[126],"efficiency":[127],"more":[128],"than":[129,132],"fivefold":[130],"greater":[131],"existing":[133],"methods.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}