{"id":"https://openalex.org/W1932336640","doi":"https://doi.org/10.1109/avss.2015.7301788","title":"Meeting detection in video through semantic analysis","display_name":"Meeting detection in video through semantic analysis","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1932336640","doi":"https://doi.org/10.1109/avss.2015.7301788","mag":"1932336640"},"language":"en","primary_location":{"id":"doi:10.1109/avss.2015.7301788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2015.7301788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","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/A5055427497","display_name":"Luis Patino","orcid":"https://orcid.org/0000-0002-6716-0629"},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Luis Patino","raw_affiliation_strings":["University of Reading, Computational Vision Group Whiteknights, Reading, United Kingdom","University of Reading, Computational Vision Group, Whiteknights, RG6 6AY, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Reading, Computational Vision Group Whiteknights, Reading, United Kingdom","institution_ids":["https://openalex.org/I71052956"]},{"raw_affiliation_string":"University of Reading, Computational Vision Group, Whiteknights, RG6 6AY, United Kingdom","institution_ids":["https://openalex.org/I71052956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039804037","display_name":"James Ferryman","orcid":"https://orcid.org/0000-0003-2194-4871"},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"James Ferryman","raw_affiliation_strings":["University of Reading, Computational Vision Group Whiteknights, Reading, United Kingdom","University of Reading, Computational Vision Group, Whiteknights, RG6 6AY, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Reading, Computational Vision Group Whiteknights, Reading, United Kingdom","institution_ids":["https://openalex.org/I71052956"]},{"raw_affiliation_string":"University of Reading, Computational Vision Group, Whiteknights, RG6 6AY, United Kingdom","institution_ids":["https://openalex.org/I71052956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055427497"],"corresponding_institution_ids":["https://openalex.org/I71052956"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75570203,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8264166116714478},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6407686471939087},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5940741300582886},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5861534476280212},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5714426636695862},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.521895706653595},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4961782395839691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4572375416755676},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"Semantic analysis (machine learning)","score":0.4563977122306824},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.44202226400375366},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4330589473247528},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36951279640197754},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3243539035320282}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8264166116714478},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6407686471939087},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5940741300582886},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5861534476280212},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5714426636695862},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.521895706653595},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4961782395839691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4572375416755676},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.4563977122306824},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.44202226400375366},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4330589473247528},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36951279640197754},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3243539035320282},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/avss.2015.7301788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss.2015.7301788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)","raw_type":"proceedings-article"},{"id":"pmh:oai:centaur.reading.ac.uk:47388","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402273","display_name":"CentAUR (University of Reading)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71052956","host_organization_name":"University of Reading","host_organization_lineage":["https://openalex.org/I71052956"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5400000214576721,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1571268436","https://openalex.org/W1972696612","https://openalex.org/W1989189996","https://openalex.org/W2009238858","https://openalex.org/W2015894504","https://openalex.org/W2016127016","https://openalex.org/W2030601953","https://openalex.org/W2072679335","https://openalex.org/W2083622116","https://openalex.org/W2115213191","https://openalex.org/W2115226893","https://openalex.org/W2132984323","https://openalex.org/W2145002876","https://openalex.org/W2145615183","https://openalex.org/W2146183743","https://openalex.org/W2160287602","https://openalex.org/W2899987233","https://openalex.org/W6681169586"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W2101105382","https://openalex.org/W4224072543","https://openalex.org/W4379382550","https://openalex.org/W2080318623","https://openalex.org/W2078911128","https://openalex.org/W2028031999","https://openalex.org/W4248616581","https://openalex.org/W1826015307","https://openalex.org/W2591117424"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5,28,49,68,75,92],"novel":[6],"approach":[7,14,89],"to":[8],"detect":[9],"people":[10,18],"meeting.":[11],"The":[12,44],"proposed":[13,88],"works":[15],"by":[16],"translating":[17],"behaviour":[19,102],"from":[20,67],"trajectory":[21,55],"information":[22,56],"into":[23],"semantic":[24,29,42,59],"terms.":[25,60],"Having":[26],"available":[27],"model":[30,45,94],"of":[31,70,77,82,104],"the":[32,35,41,87,101],"meeting":[33,83,105],"behaviour,":[34],"event":[36],"detection":[37],"is":[38,46],"performed":[39],"in":[40],"domain.":[43],"learnt":[47],"employing":[48],"soft-computing":[50],"clustering":[51],"algorithm":[52],"that":[53,86,95],"combines":[54],"and":[57],"motion":[58],"A":[61],"stable":[62],"representation":[63],"can":[64,90,96],"be":[65,98],"obtained":[66,73],"series":[69,76],"examples.":[71],"Results":[72],"on":[74,100],"videos":[78],"with":[79],"different":[80],"types":[81],"situations":[84],"show":[85],"learn":[91],"generic":[93],"effectively":[97],"applied":[99],"recognition":[103],"situations.":[106]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
