{"id":"https://openalex.org/W2114821209","doi":"https://doi.org/10.1109/icip.2009.5413644","title":"A fuzzy logic method of feature representation for shot boundary detection","display_name":"A fuzzy logic method of feature representation for shot boundary detection","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2114821209","doi":"https://doi.org/10.1109/icip.2009.5413644","mag":"2114821209"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5100359218","display_name":"Juan Chen","orcid":"https://orcid.org/0000-0002-9116-6449"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I139894009","display_name":"University of Bradford","ror":"https://ror.org/00vs8d940","country_code":"GB","type":"education","lineage":["https://openalex.org/I139894009"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Juan Chen","raw_affiliation_strings":["University of Bradford, UK","University of Electronic Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"University of Bradford, UK","institution_ids":["https://openalex.org/I139894009"]},{"raw_affiliation_string":"University of Electronic Science and Technology, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109245309","display_name":"S. Ipson","orcid":null},"institutions":[{"id":"https://openalex.org/I139894009","display_name":"University of Bradford","ror":"https://ror.org/00vs8d940","country_code":"GB","type":"education","lineage":["https://openalex.org/I139894009"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stan Ipson","raw_affiliation_strings":["University of Bradford, UK"],"affiliations":[{"raw_affiliation_string":"University of Bradford, UK","institution_ids":["https://openalex.org/I139894009"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005727907","display_name":"Jianmin Jiang","orcid":"https://orcid.org/0000-0002-7576-3999"},"institutions":[{"id":"https://openalex.org/I139894009","display_name":"University of Bradford","ror":"https://ror.org/00vs8d940","country_code":"GB","type":"education","lineage":["https://openalex.org/I139894009"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianmin Jiang","raw_affiliation_strings":["University of Bradford, UK"],"affiliations":[{"raw_affiliation_string":"University of Bradford, UK","institution_ids":["https://openalex.org/I139894009"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100359218"],"corresponding_institution_ids":["https://openalex.org/I139894009","https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.6471,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71987505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"ii","issue":null,"first_page":"4337","last_page":"4340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9947999715805054,"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/T11309","display_name":"Music and Audio Processing","score":0.9945999979972839,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.6866064667701721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6309709548950195},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6188992261886597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5835829973220825},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5511950850486755},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5456798672676086},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47891342639923096},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.47441715002059937},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32144254446029663}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6866064667701721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309709548950195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6188992261886597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5835829973220825},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5511950850486755},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5456798672676086},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47891342639923096},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.47441715002059937},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32144254446029663},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2009.5413644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413644","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.44SUR_INST:11138658700002346","is_oa":false,"landing_page_url":"https://openresearch.surrey.ac.uk/esploro/outputs/conferencePresentation/A-fuzzy-logic-method-of-feature/99511799602346","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"event"},{"id":"pmh:oai:epubs.surrey.ac.uk:835256","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/835256/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W77612978","https://openalex.org/W1561748251","https://openalex.org/W1966966277","https://openalex.org/W1985573983","https://openalex.org/W2035312022","https://openalex.org/W2054293465","https://openalex.org/W2105332906","https://openalex.org/W2107388002","https://openalex.org/W2153244188","https://openalex.org/W2158261396","https://openalex.org/W2164742238","https://openalex.org/W2168026884","https://openalex.org/W6682535487"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W1980100242"],"abstract_inverted_index":{"Unlike":[0],"most":[1],"approaches":[2],"reported":[3],"in":[4,29,62],"the":[5,14,30,59,68,71,75,78,81,91],"literature,":[6],"our":[7],"proposed":[8,96],"algorithm":[9,66,97],"is":[10,38,110],"characterized":[11],"by":[12],"using":[13,55,90],"fuzzy":[15,35,82],"logic":[16,36],"method":[17,37],"for":[18,52],"feature":[19,42],"representation":[20],"of":[21,70,74,80],"shot":[22],"detection.":[23],"Firstly,":[24],"novel":[25],"features":[26,56],"are":[27,50],"extracted":[28],"compressed":[31],"domain.":[32],"Secondly,":[33],"a":[34],"used":[39],"to":[40],"implement":[41],"representation.":[43],"Thirdly,":[44],"multiple":[45],"Support":[46],"Vector":[47],"Machines":[48],"(SVMs)":[49],"constructed":[51],"further":[53],"verification":[54],"generated":[57],"from":[58,93],"fuzzification":[60],"process":[61],"step":[63],"two.":[64],"Our":[65,95],"combines":[67],"merits":[69],"generalization":[72],"ability":[73],"SVM":[76],"and":[77,107],"comprehensibility":[79],"logic.":[83],"We":[84],"have":[85],"carried":[86],"out":[87],"extensive":[88],"experiments":[89],"data":[92],"TRECVID07.":[94],"achieved":[98],"very":[99],"good":[100],"detection":[101],"results":[102],"compared":[103],"with":[104],"TRECVID07":[105],"algorithms":[106],"its":[108],"run-speed":[109],"4":[111],"times":[112],"faster":[113],"than":[114],"real-time":[115],"video":[116],"play.":[117]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}