{"id":"https://openalex.org/W4411403383","doi":"https://doi.org/10.1145/3725407","title":"High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration","display_name":"High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4411403383","doi":"https://doi.org/10.1145/3725407"},"language":"en","primary_location":{"id":"doi:10.1145/3725407","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725407","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-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/A5088227493","display_name":"B Zhang","orcid":"https://orcid.org/0009-0005-2858-0099"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baiyan Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-2858-0099","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102876497","display_name":"Hanhao Li","orcid":"https://orcid.org/0000-0002-5105-4004"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zepeng Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5105-4004","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032211015","display_name":"Dongxiang Zhang","orcid":"https://orcid.org/0009-0006-6338-0698"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxiang Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-6338-0698","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319234","display_name":"Huan Li","orcid":"https://orcid.org/0000-0003-0084-1662"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0084-1662","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077593594","display_name":"Kian\u2010Lee Tan","orcid":"https://orcid.org/0000-0001-9315-4057"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kian-Lee Tan","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-9315-4057","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100389286","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0002-7483-0045"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7483-0045","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088227493"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10557074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":"3","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9983000159263611,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9983000159263611,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9955000281333923,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.809700608253479},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.43342167139053345},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.426421195268631},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3760436177253723},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11514580249786377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.809700608253479},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.43342167139053345},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.426421195268631},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3760436177253723},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11514580249786377},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3725407","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725407","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2014871820","https://openalex.org/W2122410182","https://openalex.org/W2154851992","https://openalex.org/W2613206411","https://openalex.org/W2752236330","https://openalex.org/W2808184646","https://openalex.org/W2887117815","https://openalex.org/W2948513753","https://openalex.org/W2965977697","https://openalex.org/W2970851599","https://openalex.org/W3000318171","https://openalex.org/W3028942915","https://openalex.org/W3104097132","https://openalex.org/W3106402164","https://openalex.org/W3174572766","https://openalex.org/W3174969457","https://openalex.org/W3185475042","https://openalex.org/W3198567598","https://openalex.org/W3210617645","https://openalex.org/W4221062824","https://openalex.org/W4281760668","https://openalex.org/W4281996556","https://openalex.org/W4282002437","https://openalex.org/W4313403038","https://openalex.org/W4381329289","https://openalex.org/W4383860586","https://openalex.org/W4393154539","https://openalex.org/W4393183913","https://openalex.org/W4401398376"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2375218795","https://openalex.org/W2393010557"],"abstract_inverted_index":{"The":[0,85],"innovative":[1],"concept":[2],"of":[3,31,33],"Video":[4],"Extract-Transform-Load":[5],"(V-ETL),":[6],"recently":[7],"proposed":[8],"in":[9,68,101],"Skyscraper,":[10],"reinterprets":[11],"large-scale":[12],"video":[13,34,49,140,144,186],"analytics":[14],"as":[15,80,98],"a":[16,43,57],"data":[17],"warehousing":[18],"problem.":[19],"In":[20,166],"this":[21],"study,":[22],"we":[23,55,113,142],"aim":[24],"at":[25],"enabling":[26],"real-time":[27,163,182],"and":[28,36,76,109,123,149,188],"high-throughput":[29],"ingestion":[30,45,71,158,164,183,191],"hundreds":[32],"streams":[35,145,187],"maximizing":[37],"the":[38,53,65,69,107,128,134,156,162,167],"overall":[39,157],"accuracy,":[40],"by":[41,197],"constructing":[42],"proper":[44],"plan":[46],"for":[47,138],"each":[48],"stream.":[50],"To":[51,104,132],"achieve":[52],"goal,":[54],"construct":[56],"comprehensive":[58],"configuration":[59,111,135],"space":[60,87],"that":[61,193],"takes":[62],"into":[63],"account":[64],"configurable":[66],"components":[67],"entire":[70],"pipeline,":[72],"including":[73],"numeric":[74],"parameters":[75],"categorical":[77],"options":[78],"such":[79],"visual":[81],"inference":[82],"model":[83],"selection.":[84],"new":[86],"is":[88],"10":[89],"7":[90],"times":[91],"larger":[92],"than":[93,199],"existing":[94],"approaches,":[95],"rendering":[96],"them":[97],"sub-optimal":[99],"points":[100],"our":[102,178],"space.":[103],"effectively":[105],"explore":[106],"huge":[108],"heterogeneous":[110],"space,":[112],"devise":[114],"an":[115,190],"accuracy-aware":[116],"search":[117],"strategy":[118],"based":[119],"on":[120],"graph":[121],"embedding":[122],"reinforcement":[124],"learning":[125],"to":[126,154],"establish":[127],"runtime-quality":[129],"Pareto":[130],"frontier.":[131],"reduce":[133],"exploration":[136],"cost":[137],"all":[139],"streams,":[141],"cluster":[143],"with":[146,170,184],"similar":[147],"contexts":[148],"adopt":[150],"mixed":[151],"integer":[152],"programming":[153],"maximize":[155],"accuracy":[159,192],"while":[160],"ensuring":[161],"requirement.":[165],"experimental":[168],"evaluation":[169],"one":[171],"NVIDIA":[172],"GeForce":[173],"RTX":[174],"4090":[175],"GPU":[176],"card,":[177],"Hippo":[179],"can":[180],"support":[181],"300":[185],"secures":[189],"exceeds":[194],"its":[195],"competitors":[196],"more":[198],"30%.":[200]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
