{"id":"https://openalex.org/W2553507896","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737945","title":"A big-bang big-crunch Type-2 Fuzzy Logic based system for soccer video scene classification","display_name":"A big-bang big-crunch Type-2 Fuzzy Logic based system for soccer video scene classification","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2553507896","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737945","mag":"2553507896"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2016.7737945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5023025722","display_name":"Wei Song","orcid":"https://orcid.org/0000-0003-0649-8850"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wei Song","raw_affiliation_strings":["The Computational Intelligence Centre, University of Essex, Colchester, UK"],"affiliations":[{"raw_affiliation_string":"The Computational Intelligence Centre, University of Essex, Colchester, UK","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041176153","display_name":"Hani Hagras","orcid":"https://orcid.org/0000-0002-2818-5292"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hani Hagras","raw_affiliation_strings":["The Computational Intelligence Centre, University of Essex, Colchester, UK"],"affiliations":[{"raw_affiliation_string":"The Computational Intelligence Centre, University of Essex, Colchester, UK","institution_ids":["https://openalex.org/I110002522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023025722"],"corresponding_institution_ids":["https://openalex.org/I110002522"],"apc_list":null,"apc_paid":null,"fwci":1.0137,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83854484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"2059","last_page":"2066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9897000193595886,"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":0.9854999780654907,"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/automatic-summarization","display_name":"Automatic summarization","score":0.8321274518966675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.737873375415802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7002332210540771},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6443520784378052},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6415702104568481},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5997005701065063},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49776580929756165},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4705011546611786},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4366976022720337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3954886794090271},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.389676034450531},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2433030605316162},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22210374474525452}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8321274518966675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.737873375415802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7002332210540771},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6443520784378052},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6415702104568481},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5997005701065063},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49776580929756165},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4705011546611786},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4366976022720337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3954886794090271},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.389676034450531},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2433030605316162},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22210374474525452}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2016.7737945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"mag:2751631100","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201602244072882742","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W564030374","https://openalex.org/W1484413656","https://openalex.org/W1977752528","https://openalex.org/W1984762043","https://openalex.org/W1990213678","https://openalex.org/W1995450389","https://openalex.org/W2016053056","https://openalex.org/W2058646514","https://openalex.org/W2082227962","https://openalex.org/W2098015236","https://openalex.org/W2102675003","https://openalex.org/W2122834444","https://openalex.org/W2124607979","https://openalex.org/W2125631815","https://openalex.org/W2141858776","https://openalex.org/W2156935079","https://openalex.org/W2162510443","https://openalex.org/W2211577427","https://openalex.org/W6615654757","https://openalex.org/W6628750762","https://openalex.org/W6678876132","https://openalex.org/W6688395528"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2366403280","https://openalex.org/W2963326959","https://openalex.org/W1495108544","https://openalex.org/W4247136043"],"abstract_inverted_index":{"The":[0,14,151],"recent":[1],"years":[2],"have":[3],"witnessed":[4],"significant":[5],"progress":[6],"in":[7,88,108,146],"the":[8,18,64,77,81,85,130,168],"automation":[9],"of":[10,17,61,80,106,164],"sports":[11,22],"video":[12,23,82,109],"summarization.":[13],"vast":[15],"majority":[16],"techniques":[19,28],"applied":[20],"to":[21,76,101],"classifications":[24],"involved":[25],"black":[26],"box":[27],"such":[29,103],"as":[30,58],"support":[31],"vector":[32],"machines":[33],"(SVMs)":[34],"and":[35,48,84],"neural":[36],"networks,":[37],"which":[38,136],"do":[39],"not":[40],"provide":[41],"models":[42],"that":[43],"could":[44],"be":[45,56],"easily":[46],"analysed":[47],"understood":[49],"by":[50,129],"human":[51],"users.":[52],"Video":[53],"scenes":[54,110,141],"can":[55],"regarded":[57],"continuous":[59],"sequences":[60],"images,":[62],"but":[63],"classification":[65,74,142,158],"problem":[66],"is":[67],"much":[68],"more":[69],"complicated":[70],"than":[71],"single":[72],"image":[73],"due":[75],"dynamic":[78],"nature":[79],"sequence":[83],"associated":[86],"changes":[87],"light":[89],"conditions,":[90],"background,":[91],"camera":[92],"angle,":[93],"occlusions,":[94],"indistinguishable":[95],"scene":[96],"features,":[97],"etc.":[98],"In":[99],"order":[100],"handle":[102],"high":[104,157],"levels":[105],"uncertainties":[107],"classification,":[111],"we":[112],"introduce":[113],"a":[114,161],"system":[115,153,169],"based":[116],"on":[117],"Interval":[118],"Type-2":[119],"Fuzzy":[120],"Logic":[121],"Classification":[122],"Systems":[123],"(IT2FLCS)":[124],"whose":[125],"parameters":[126],"are":[127],"optimized":[128,144],"Big":[131],"Bang-Big":[132],"Crunch":[133],"(BB-BC)":[134],"algorithm":[135],"allows":[137,154],"for":[138],"real":[139],"time":[140],"using":[143],"rules":[145],"broadcasted":[147],"soccer":[148],"matches":[149],"video.":[150],"proposed":[152],"achieving":[155],"relatively":[156],"accuracy":[159],"with":[160],"small":[162],"number":[163],"rules,":[165],"thus":[166],"increasing":[167],"interpretability.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
