{"id":"https://openalex.org/W7137046142","doi":"https://doi.org/10.48550/arxiv.2603.12703","title":"SVCBench: A Streaming Video Counting Benchmark for Spatial-Temporal State Maintenance","display_name":"SVCBench: A Streaming Video Counting Benchmark for Spatial-Temporal State Maintenance","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7137046142","doi":"https://doi.org/10.48550/arxiv.2603.12703"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.12703","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12703","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.2603.12703","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129620068","display_name":"Pengyiang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Pengyiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078908635","display_name":"Zhongyue Shi","orcid":"https://orcid.org/0000-0003-1310-4821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Zhongyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129638447","display_name":"Hongye Hao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Hongye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129569306","display_name":"Qi Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129441696","display_name":"Xueting Bi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bi, Xueting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129494617","display_name":"Siwei Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Siwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114859775","display_name":"Xiaoyang Hu","orcid":"https://orcid.org/0000-0001-7329-9697"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Xiaoyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129446745","display_name":"Zitian Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zitian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129404078","display_name":"Linjiang Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Linjiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129589830","display_name":"Si Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Si","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/T10812","display_name":"Human Pose and Action Recognition","score":0.675599992275238,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.675599992275238,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.12479999661445618,"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":0.07859999686479568,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8296999931335449},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7414000034332275},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.6402000188827515},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6164000034332275},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6011000275611877},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5178999900817871},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.47360000014305115},{"id":"https://openalex.org/keywords/counting-process","display_name":"Counting process","score":0.39660000801086426}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8296999931335449},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7414000034332275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733299970626831},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.6402000188827515},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6164000034332275},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6011000275611877},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.545199990272522},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5178999900817871},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.47360000014305115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4438000023365021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4174000024795532},{"id":"https://openalex.org/C2781104640","wikidata":"https://www.wikidata.org/wiki/Q11827313","display_name":"Counting process","level":2,"score":0.39660000801086426},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3571999967098236},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34060001373291016},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.32359999418258667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3192000091075897},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.2903999984264374},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.287200003862381},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C41661131","wikidata":"https://www.wikidata.org/wiki/Q220764","display_name":"Interrupt","level":3,"score":0.28540000319480896},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.2851000130176544},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C2780236118","wikidata":"https://www.wikidata.org/wiki/Q2916762","display_name":"High-definition video","level":2,"score":0.262800008058548}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.12703","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12703","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.2603.12703","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12703","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Video":[0,41],"understanding":[1,19,184],"requires":[2],"models":[3,30,150,154],"to":[4,137],"continuously":[5],"track":[6],"and":[7,65,79,90,106,143,178,188],"update":[8],"world":[9,32],"state":[10,33,108,125,161,180],"during":[11],"playback.":[12],"Although":[13],"existing":[14],"benchmarks":[15],"have":[16],"advanced":[17],"video":[18,121,183],"evaluation":[20],"across":[21],"multiple":[22],"dimensions,":[23],"they":[24],"provide":[25],"limited":[26],"visibility":[27],"into":[28,62],"how":[29],"maintain":[31],"over":[34],"time.":[35],"We":[36,58],"propose":[37],"SVCBench,":[38],"a":[39,48,173],"Streaming":[40],"Counting":[42],"Benchmark":[43],"that":[44,152],"repositions":[45],"counting":[46,64,73,85],"as":[47],"minimal,":[49],"controlled":[50],"probe":[51],"for":[52,176],"diagnosing":[53],"models'":[54],"world-state":[55],"maintenance":[56,126,181],"capability.":[57],"decompose":[59],"this":[60],"capability":[61],"object":[63,107],"event":[66,84,104,169],"counting,":[67],"forming":[68],"8":[69],"fine-grained":[70],"subcategories.":[71],"Object":[72],"covers":[74,86],"tracking":[75,91],"currently":[76],"visible":[77],"objects":[78],"cumulative":[80],"unique":[81],"identities,":[82],"while":[83],"detecting":[87],"instantaneous":[88],"actions":[89],"complete":[92],"activity":[93],"cycles.":[94],"SVCBench":[95,171],"contains":[96],"406":[97],"videos":[98],"with":[99,115,163],"frame-by-frame":[100],"annotations":[101],"of":[102,147],"10,071":[103],"occurrences":[105],"changes,":[109],"yielding":[110],"1,000":[111],"streaming":[112,129],"QA":[113],"pairs":[114],"4,576":[116],"query":[117],"points":[118],"distributed":[119],"along":[120],"timelines.":[122],"By":[123],"observing":[124],"trajectories":[127],"through":[128],"multi-point":[130],"queries,":[131],"we":[132],"design":[133],"three":[134],"complementary":[135],"metrics":[136],"diagnose":[138],"numerical":[139],"precision,":[140],"trajectory":[141],"consistency,":[142],"temporal":[144],"awareness.":[145],"Evaluations":[146],"mainstream":[148],"video-language":[149],"show":[151],"current":[153],"still":[155],"exhibit":[156],"significant":[157],"deficiencies":[158],"in":[159,182],"spatial-temporal":[160],"maintenance,":[162],"especially":[164],"poor":[165],"performance":[166],"on":[167],"periodic":[168],"counting.":[170],"provides":[172],"diagnostic":[174],"framework":[175],"measuring":[177],"improving":[179],"systems.":[185],"Our":[186],"code":[187],"data":[189],"are":[190],"available":[191],"at":[192],"https://buaa-colalab.github.io/SVCBench.":[193]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-17T00:00:00"}