{"id":"https://openalex.org/W7164830069","doi":"https://doi.org/10.1145/3805622.3810862","title":"Chameleon: Benchmarking Detection and Backtracking on Commercial-Grade AI-Generated Videos","display_name":"Chameleon: Benchmarking Detection and Backtracking on Commercial-Grade AI-Generated Videos","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7164830069","doi":"https://doi.org/10.1145/3805622.3810862"},"language":null,"primary_location":{"id":"doi:10.1145/3805622.3810862","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810862","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805622.3810862","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121802219","display_name":"Xingming Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingming Liao","raw_affiliation_strings":["Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-9118-5968","affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114244449","display_name":"Meiyu Zeng","orcid":"https://orcid.org/0009-0005-9324-8930"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiyu Zeng","raw_affiliation_strings":["Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-9324-8930","affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063055120","display_name":"C E Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canyu Chen","raw_affiliation_strings":["Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-5853-4474","affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070480766","display_name":"Nankai Lin","orcid":"https://orcid.org/0000-0003-2838-8273"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nankai Lin","raw_affiliation_strings":["Guangdong University of Foreign Studies, Guangzhou, China and Guangdong Engineering Research Center of Data Security Governance and Privacy Computing, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2838-8273","affiliations":[{"raw_affiliation_string":"Guangdong University of Foreign Studies, Guangzhou, China and Guangdong Engineering Research Center of Data Security Governance and Privacy Computing, Guangzhou, China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007409112","display_name":"Zhuowei Wang","orcid":"https://orcid.org/0000-0001-6479-5154"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuowei Wang","raw_affiliation_strings":["Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6479-5154","affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062957615","display_name":"Aimin Yang","orcid":"https://orcid.org/0000-0001-7671-6150"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Yang","raw_affiliation_strings":["Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7671-6150","affiliations":[{"raw_affiliation_string":"Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"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":0.74100507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2276","last_page":"2285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.8751000165939331,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.8751000165939331,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.07029999792575836,"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/T11448","display_name":"Face recognition and analysis","score":0.006800000090152025,"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/backtracking","display_name":"Backtracking","score":0.7520999908447266},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7121000289916992},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6313999891281128},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6269000172615051},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5900999903678894},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5281000137329102},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4032000005245209}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7839999794960022},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.7520999908447266},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7121000289916992},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6313999891281128},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6269000172615051},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5900999903678894},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5281000137329102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4717000126838684},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4032000005245209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.352400004863739},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34779998660087585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34599998593330383},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3248000144958496},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2818000018596649},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26840001344680786},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805622.3810862","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810862","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805622.3810862","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810862","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8270366787910461,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2914447220","https://openalex.org/W2982058372","https://openalex.org/W3034577585","https://openalex.org/W3034713808","https://openalex.org/W3092879151","https://openalex.org/W3174814557","https://openalex.org/W3182523681","https://openalex.org/W3207531490","https://openalex.org/W4283802557","https://openalex.org/W4312753047","https://openalex.org/W4312818263","https://openalex.org/W4313127140","https://openalex.org/W4316369370","https://openalex.org/W4319300674","https://openalex.org/W4362706803","https://openalex.org/W4385774773","https://openalex.org/W4386075803","https://openalex.org/W4388858443","https://openalex.org/W4390058985","https://openalex.org/W4390189859","https://openalex.org/W4390632051","https://openalex.org/W4390874333","https://openalex.org/W4392174038","https://openalex.org/W4392341509","https://openalex.org/W4393118212","https://openalex.org/W4393154086","https://openalex.org/W4400181815","https://openalex.org/W4401290054","https://openalex.org/W4401362547","https://openalex.org/W4401980784","https://openalex.org/W4402716164","https://openalex.org/W4402915983","https://openalex.org/W4402916679","https://openalex.org/W4403791633","https://openalex.org/W4404781270","https://openalex.org/W4405181141","https://openalex.org/W4414619628"],"related_works":[],"abstract_inverted_index":{"The":[0,157],"proliferation":[1],"of":[2,117,125],"AI-Generated":[3],"Content":[4],"(AIGC),":[5],"especially":[6],"deepfake":[7],"videos,":[8,34],"poses":[9],"a":[10,58,150],"severe":[11],"threat":[12],"to":[13,95],"social":[14],"trust":[15],"by":[16],"enabling":[17],"fraud,":[18],"privacy":[19],"violations":[20],"and":[21,81,114,130,146,159],"disinformation.":[22],"Existing":[23],"AI-generated":[24,63],"video":[25,109],"detection":[26,49,91,110],"(AGVD)":[27],"benchmarks":[28],"focus":[29],"on":[30,103],"open-source":[31],"model":[32],"generated":[33],"yet":[35],"commercial":[36,137],"closed-source":[37,138],"models":[38,102],"produce":[39],"more":[40],"realistic,":[41],"temporally":[42],"coherent":[43],"videos":[44,64,135],"that":[45],"are":[46,161],"underexplored":[47],"in":[48,111,128],"research.":[50,156],"To":[51],"fill":[52],"this":[53],"gap,":[54],"we":[55],"present":[56],"Chameleon,":[57],"commercial-grade":[59],"dataset":[60],"with":[61],"1,700":[62],"from":[65,92,136],"600":[66],"real-world":[67,112],"sources":[68],"across":[69],"three":[70],"key":[71],"domains":[72],"(News,":[73],"Speech,":[74],"Recommendation),":[75],"featuring":[76],"high":[77],"resolution,":[78],"rich":[79],"annotations":[80],"3D":[82],"consistency":[83],"metrics":[84],"for":[85,153],"dynamic":[86],"scene":[87,97],"spatial":[88],"coherence,":[89],"shifting":[90],"face-centric":[93],"forgery":[94],"holistic":[96],"forensics.":[98],"This":[99],"benchmark":[100],"assesses":[101],"two":[104],"core":[105],"tasks:":[106],"accurate":[107],"AI":[108],"conditions":[113],"forensic":[115,144],"backtracking":[116,131],"original":[118],"sources.":[119],"Experimental":[120],"results":[121],"reveal":[122],"critical":[123],"limitations":[124],"existing":[126],"methods":[127],"detecting":[129],"high-fidelity,":[132],"spatiotemporally":[133],"consistent":[134],"models,":[139],"highlighting":[140],"current":[141],"methods\u2019":[142],"flawed":[143],"reasoning":[145],"establishing":[147],"Chameleon":[148],"as":[149],"vital":[151],"challenge":[152],"AIGC":[154],"security":[155],"code":[158],"data":[160],"available":[162],"at":[163],"https://github.com/lxixim/Chameleon.":[164]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-06-16T00:00:00"}
