{"id":"https://openalex.org/W2033708223","doi":"https://doi.org/10.1109/iccvw.2011.6130423","title":"Video event detection based on over-segmented STV regions","display_name":"Video event detection based on over-segmented STV regions","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2033708223","doi":"https://doi.org/10.1109/iccvw.2011.6130423","mag":"2033708223"},"language":"en","primary_location":{"id":"doi:10.1109/iccvw.2011.6130423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.hud.ac.uk/id/eprint/11834/1/jing_wang_submission.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100378497","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-3653-9951"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Computer Graphics, Imaging and Vision Research Group, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK","Computer Graphics, Imaging and Vision Research Group, School of Computing and Engineering, University of Huddersfield, HD1 3DH, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Computer Graphics, Imaging and Vision Research Group, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"Computer Graphics, Imaging and Vision Research Group, School of Computing and Engineering, University of Huddersfield, HD1 3DH, United Kingdom","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100745405","display_name":"Zhijie Xu","orcid":"https://orcid.org/0000-0002-0524-5926"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhijie Xu","raw_affiliation_strings":["Computer Graphics, Imaging and Vision Research Group, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK","Computer Graphics, Imaging and Vision Research Group, School of Computing and Engineering, University of Huddersfield, HD1 3DH, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Computer Graphics, Imaging and Vision Research Group, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"Computer Graphics, Imaging and Vision Research Group, School of Computing and Engineering, University of Huddersfield, HD1 3DH, United Kingdom","institution_ids":["https://openalex.org/I133837150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100378497"],"corresponding_institution_ids":["https://openalex.org/I133837150"],"apc_list":null,"apc_paid":null,"fwci":0.2616,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57467733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1464","last_page":"1471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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":1.0,"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":0.9998000264167786,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9997000098228455,"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":0.8195885419845581},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6416857242584229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6282055974006653},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5372488498687744},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5315439701080322},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5074149966239929},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5000271797180176},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4719718396663666},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4644935429096222},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.43494898080825806},{"id":"https://openalex.org/keywords/recall-rate","display_name":"Recall rate","score":0.4297296702861786},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42435142397880554},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4157874286174774},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4123561382293701}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195885419845581},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6416857242584229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6282055974006653},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5372488498687744},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5315439701080322},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5074149966239929},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5000271797180176},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4719718396663666},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4644935429096222},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.43494898080825806},{"id":"https://openalex.org/C2987098735","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"Recall rate","level":2,"score":0.4297296702861786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42435142397880554},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4157874286174774},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4123561382293701},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccvw.2011.6130423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw.2011.6130423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.hud.ac.uk:11834","is_oa":true,"landing_page_url":null,"pdf_url":"http://eprints.hud.ac.uk/id/eprint/11834/1/jing_wang_submission.pdf","source":{"id":"https://openalex.org/S4306401852","display_name":"University of Huddersfield Repository (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Chapter"},{"id":"pmh:oai:pure.atira.dk:publications/65c8246c-6aa7-4e6b-b3c5-973810abef5b","is_oa":false,"landing_page_url":"https://pure.hud.ac.uk/en/publications/65c8246c-6aa7-4e6b-b3c5-973810abef5b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, J & Xu, Z 2011, Video event detection based on over-segmented STV regions. in 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops 2011)., 6130423, IEEE Computer Society, pp. 1464-1471, IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011, Barcelona, Spain, 6/11/11. https://doi.org/10.1109/ICCVW.2011.6130423","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:eprints.hud.ac.uk:11834","is_oa":true,"landing_page_url":null,"pdf_url":"http://eprints.hud.ac.uk/id/eprint/11834/1/jing_wang_submission.pdf","source":{"id":"https://openalex.org/S4306401852","display_name":"University of Huddersfield Repository (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2033708223.pdf","grobid_xml":"https://content.openalex.org/works/W2033708223.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1597899558","https://openalex.org/W1840103929","https://openalex.org/W1965301399","https://openalex.org/W1973166425","https://openalex.org/W1996135397","https://openalex.org/W1999478155","https://openalex.org/W1999974348","https://openalex.org/W2013076218","https://openalex.org/W2018977674","https://openalex.org/W2029477555","https://openalex.org/W2030346542","https://openalex.org/W2034328688","https://openalex.org/W2085425470","https://openalex.org/W2097089830","https://openalex.org/W2108992228","https://openalex.org/W2116040950","https://openalex.org/W2119799051","https://openalex.org/W2120544738","https://openalex.org/W2121899951","https://openalex.org/W2124111503","https://openalex.org/W2125248986","https://openalex.org/W2129666410","https://openalex.org/W2130103520","https://openalex.org/W2138232383","https://openalex.org/W2140220698","https://openalex.org/W2144126588","https://openalex.org/W2146634731","https://openalex.org/W2153136145","https://openalex.org/W2155162498","https://openalex.org/W2158169396","https://openalex.org/W2161315665","https://openalex.org/W2168392347","https://openalex.org/W2168845926","https://openalex.org/W2533739470","https://openalex.org/W4249279051","https://openalex.org/W6679388247"],"related_works":["https://openalex.org/W2004370856","https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W2159066190","https://openalex.org/W2117933325","https://openalex.org/W2110230079","https://openalex.org/W2117664411","https://openalex.org/W2613186388","https://openalex.org/W2739874619","https://openalex.org/W2965422042"],"abstract_inverted_index":{"Real-world":[0],"environment":[1],"introduces":[2],"many":[3],"variations":[4],"into":[5],"video":[6,54],"recordings":[7],"such":[8],"as":[9],"changing":[10],"illumination":[11],"and":[12,51,87,90],"object":[13],"dynamics.":[14],"In":[15],"this":[16,60],"paper,":[17],"a":[18],"technique":[19],"for":[20],"abstracting":[21],"useful":[22],"spatio-temporal":[23,33],"features":[24],"from":[25],"graph-based":[26],"segmentation":[27,78],"operations":[28],"has":[29,62],"been":[30,95],"proposed.":[31],"A":[32],"volume":[34],"(STV)-based":[35],"shape":[36],"matching":[37],"algorithm":[38],"is":[39],"then":[40],"devised":[41],"by":[42],"using":[43],"the":[44,49,77,84,91,98,101],"intersection":[45],"theory":[46],"to":[47],"facilitate":[48],"definition":[50],"detection":[52],"of":[53],"events.":[55],"To":[56],"maintain":[57],"system":[58],"efficiency,":[59],"research":[61],"integrated":[63],"an":[64],"innovative":[65],"feature-weight":[66],"evaluation":[67],"mechanism":[68],"which":[69],"\u201crewards\u201d":[70],"or":[71],"\u201cpunishes\u201d":[72],"recognition":[73],"outputs":[74],"based":[75],"on":[76,82],"quality.":[79],"Substantial":[80],"improvements":[81],"both":[83],"event":[85],"\u201cPrecision\u201d":[86],"\u201cRecall\u201d":[88],"rate":[89],"processing":[92],"efficiency":[93],"have":[94],"observed":[96],"in":[97,100],"experiments":[99],"project.":[102]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}