{"id":"https://openalex.org/W7164027747","doi":"https://doi.org/10.48550/arxiv.2606.09641","title":"MAVIS: Multi-Agent Video Retrieval via Structured Video Understanding","display_name":"MAVIS: Multi-Agent Video Retrieval via Structured Video Understanding","publication_year":2026,"publication_date":"2026-06-08","ids":{"openalex":"https://openalex.org/W7164027747","doi":"https://doi.org/10.48550/arxiv.2606.09641"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.09641","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.09641","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138256882","display_name":"Jie Zhang (64655)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125707546","display_name":"Qilang Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Qilang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138218310","display_name":"Hao Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133636873","display_name":"Haochen Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Haochen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138274405","display_name":"Fei Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Fei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9890999794006348,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9890999794006348,"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":0.0017000000225380063,"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":0.0012000000569969416,"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/scalability","display_name":"Scalability","score":0.6089000105857849},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.49309998750686646},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4867999851703644},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.45100000500679016},{"id":"https://openalex.org/keywords/inefficiency","display_name":"Inefficiency","score":0.4456999897956848},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"Video retrieval","score":0.42260000109672546},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3741999864578247},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3714999854564667},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.3564000129699707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8331000208854675},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6089000105857849},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5024999976158142},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.49309998750686646},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4867999851703644},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.45100000500679016},{"id":"https://openalex.org/C2778869765","wikidata":"https://www.wikidata.org/wiki/Q6028363","display_name":"Inefficiency","level":2,"score":0.4456999897956848},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.42260000109672546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39410001039505005},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3714999854564667},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3531000018119812},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2944999933242798},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C2776331573","wikidata":"https://www.wikidata.org/wiki/Q178074","display_name":"Veto","level":3,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.09641","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.09641","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"dominant":[1],"paradigm":[2],"in":[3],"video":[4],"retrieval":[5,41],"relies":[6],"on":[7,127],"embedding-based":[8],"full-corpus":[9],"scanning,":[10],"which":[11],"suffers":[12],"from":[13],"inherent":[14],"computational":[15],"inefficiency":[16,121],"and":[17,24,130,144],"the":[18,52,120],"semantic":[19],"asymmetry":[20],"between":[21],"information-dense":[22],"videos":[23,58],"sparse":[25],"textual":[26],"queries.":[27],"To":[28],"bridge":[29],"this":[30],"gap,":[31],"we":[32],"introduce":[33],"\\textbf{MAVIS},":[34],"a":[35,60,70,89,94,106,142],"novel":[36],"multi-agent":[37],"framework":[38],"that":[39,133],"rethinks":[40],"as":[42],"cooperative":[43],"reasoning":[44],"rather":[45],"than":[46],"brute-force":[47],"search.":[48],"MAVIS":[49,87,134],"first":[50],"bridges":[51],"granularity":[53],"mismatch":[54],"by":[55],"parsing":[56],"raw":[57],"into":[59,76],"\\textbf{Structured":[61],"Semantic":[62],"Library},":[63],"enabling":[64],"explicit":[65],"attribute-level":[66],"indexing.":[67],"During":[68],"retrieval,":[69],"planner":[71],"decomposes":[72],"complex":[73],"user":[74],"intents":[75],"atomic":[77],"sub-tasks,":[78],"dispatching":[79],"specialized":[80],"agents":[81,99],"to":[82,104,147],"independently":[83],"nominate":[84],"candidates.":[85],"Crucially,":[86],"employs":[88],"\\textbf{Logic-aware":[90],"Debate}":[91],"mechanism":[92],"with":[93],"strict":[95],"veto":[96],"protocol,":[97],"where":[98],"collaboratively":[100],"prune":[101],"logical":[102],"mismatches":[103],"identify":[105],"compact":[107],"set":[108],"of":[109,122],"``controversial''":[110],"candidates":[111],"for":[112],"fine-grained":[113],"verification.":[114],"This":[115],"agentic":[116],"workflow":[117],"effectively":[118],"bypasses":[119],"full-library":[123],"traversal.":[124],"Extensive":[125],"experiments":[126],"MSR-VTT,":[128],"MSVD,":[129],"ActivityNet":[131],"demonstrate":[132],"achieves":[135],"competitive":[136],"performance":[137],"without":[138],"task-specific":[139],"fine-tuning,":[140],"offering":[141],"scalable":[143],"interpretable":[145],"alternative":[146],"traditional":[148],"dual-encoder":[149],"approaches.":[150]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-10T00:00:00"}
