{"id":"https://openalex.org/W4312575891","doi":"https://doi.org/10.1145/3561613.3561631","title":"VSSum: A Virtual Surveillance Dataset for Video Summary","display_name":"VSSum: A Virtual Surveillance Dataset for Video Summary","publication_year":2022,"publication_date":"2022-08-19","ids":{"openalex":"https://openalex.org/W4312575891","doi":"https://doi.org/10.1145/3561613.3561631"},"language":"en","primary_location":{"id":"doi:10.1145/3561613.3561631","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561613.3561631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 5th International Conference on Control and Computer Vision","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/A5054258443","display_name":"Yanfei Zhang","orcid":"https://orcid.org/0000-0002-5000-0602"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanfei Zhang","raw_affiliation_strings":["Data Technology, Hitachi China Research Laboratory, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5000-0602","affiliations":[{"raw_affiliation_string":"Data Technology, Hitachi China Research Laboratory, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051731173","display_name":"Yulai Xie","orcid":"https://orcid.org/0000-0003-0764-6579"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yulai Xie","raw_affiliation_strings":["Data Technology, Hitachi China Research Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Technology, Hitachi China Research Laboratory, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354659","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-2739-1916"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Data Technology, Hitachi China Research Laboratory, China","School of Computer and Communication Engineering, University of Science and Technology Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Technology, Hitachi China Research Laboratory, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021951875","display_name":"Yiruo Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiruo Dai","raw_affiliation_strings":["Data Technology, Hitachi China Research Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Technology, Hitachi China Research Laboratory, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100652923","display_name":"Fang Ren","orcid":"https://orcid.org/0000-0002-2251-9220"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Ren","raw_affiliation_strings":["School of Computer and Communication Engineering, University of Science and Technology Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, University of Science and Technology Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054258443"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.102,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41395374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"47","issue":null,"first_page":"113","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998999834060669,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"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":0.9959999918937683,"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":0.8470436334609985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47550898790359497},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4680836796760559},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.43548744916915894},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42957940697669983},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.3990098237991333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8470436334609985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47550898790359497},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4680836796760559},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.43548744916915894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42957940697669983},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3990098237991333},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3561613.3561631","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3561613.3561631","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 5th International Conference on Control and Computer Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1825187736","https://openalex.org/W1910776219","https://openalex.org/W1987366351","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2128294431","https://openalex.org/W2134577448","https://openalex.org/W2139009685","https://openalex.org/W2194775991","https://openalex.org/W2314945149","https://openalex.org/W2325719052","https://openalex.org/W2463631526","https://openalex.org/W2529272619","https://openalex.org/W2618530766","https://openalex.org/W2752333386","https://openalex.org/W2902616437","https://openalex.org/W2906430987","https://openalex.org/W2908469318","https://openalex.org/W2963795951","https://openalex.org/W2964167369","https://openalex.org/W2964335490","https://openalex.org/W2967219836","https://openalex.org/W3010790568","https://openalex.org/W3107128832","https://openalex.org/W3119150854","https://openalex.org/W3169884992","https://openalex.org/W3174053790","https://openalex.org/W3196286078","https://openalex.org/W4205761929","https://openalex.org/W4205776365","https://openalex.org/W4225925355","https://openalex.org/W4295719664"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Video":[0],"summary":[1,52,137],"can":[2,29],"greatly":[3],"reduce":[4],"the":[5,13,37,48,55,116,124,142,149,156,163,171],"size":[6],"of":[7,12,36,41,50,79,118,126,148,165],"video":[8,20,33,51,57,65,83,136],"while":[9],"retaining":[10],"most":[11],"content,":[14],"which":[15,67],"is":[16,98,159],"a":[17,62,77,131],"very":[18],"promising":[19],"analysis":[21],"technology,":[22],"especially":[23],"for":[24,32,134],"surveillance.":[25],"However,":[26],"few":[27],"datasets":[28],"be":[30,90],"used":[31,160],"summaries":[34],"because":[35],"privacy":[38],"and":[39,92,111,121,144,151,155],"verbosity":[40],"surveillance":[42,56,127,135],"videos.":[43],"In":[44],"order":[45],"to":[46,89,161],"improve":[47],"performance":[49],"technology":[53],"in":[54,73],"area,":[58],"we":[59,129],"introduce":[60],"VSSum,":[61],"Virtual":[63],"Surveillance":[64],"dataset,":[66],"currently":[68],"contains":[69,84],"1,000":[70],"simulated":[71],"videos":[72],"virtual":[74],"scenarios":[75],"with":[76],"length":[78],"5":[80],"minutes.":[81],"Each":[82],"one":[85],"predefined":[86],"abnormal":[87],"action":[88,109],"summarized":[91],"multiple":[93],"normal":[94],"actions.":[95],"Moreover,":[96],"randomness":[97],"introduced":[99],"from":[100],"various":[101],"aspects,":[102],"such":[103],"as":[104],"character":[105],"models,":[106],"camera":[107],"angles,":[108],"times,":[110],"positions.":[112],"The":[113],"dataset":[114],"has":[115],"characteristics":[117,125],"controllability,":[119],"diversity,":[120],"large-scale.":[122],"Considering":[123],"video,":[128],"propose":[130],"baseline":[132,172],"model":[133],"called":[138],"VSSumNet.":[139],"It":[140],"uses":[141],"padding":[143],"threshold":[145],"method":[146,153],"instead":[147],"center-cropping":[150],"proportion":[152],"separately,":[154],"1D":[157],"convolution":[158],"enhance":[162],"continuity":[164],"output.":[166],"Experimental":[167],"results":[168],"show":[169],"that":[170],"outperforms":[173],"previous":[174],"methods.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
