{"id":"https://openalex.org/W1969880931","doi":"https://doi.org/10.4304/jmm.9.7.873-878","title":"Sports Video Segmentation using Spectral Clustering","display_name":"Sports Video Segmentation using Spectral Clustering","publication_year":2014,"publication_date":"2014-07-28","ids":{"openalex":"https://openalex.org/W1969880931","doi":"https://doi.org/10.4304/jmm.9.7.873-878","mag":"1969880931"},"language":"en","primary_location":{"id":"doi:10.4304/jmm.9.7.873-878","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.9.7.873-878","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","raw_type":"journal-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/A5102820250","display_name":"Xiaohong Zhao","orcid":"https://orcid.org/0000-0003-3659-4800"},"institutions":[{"id":"https://openalex.org/I48381559","display_name":"Hebei Normal University of Science and Technology","ror":"https://ror.org/05g1mag11","country_code":"CN","type":"education","lineage":["https://openalex.org/I48381559"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Zhao","raw_affiliation_strings":["Hebei Normal University of Science & Technology, Qinhuangdao, Hebei Province, 066004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Normal University of Science & Technology, Qinhuangdao, Hebei Province, 066004","institution_ids":["https://openalex.org/I48381559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051701819","display_name":"Yanhua Qu","orcid":"https://orcid.org/0000-0002-4590-7787"},"institutions":[{"id":"https://openalex.org/I48381559","display_name":"Hebei Normal University of Science and Technology","ror":"https://ror.org/05g1mag11","country_code":"CN","type":"education","lineage":["https://openalex.org/I48381559"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanhua Qu","raw_affiliation_strings":["Hebei Normal University of Science & Technology, Qinhuangdao, Hebei Province, 066004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Normal University of Science & Technology, Qinhuangdao, Hebei Province, 066004","institution_ids":["https://openalex.org/I48381559"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005983977","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0003-2057-8427"},"institutions":[{"id":"https://openalex.org/I48381559","display_name":"Hebei Normal University of Science and Technology","ror":"https://ror.org/05g1mag11","country_code":"CN","type":"education","lineage":["https://openalex.org/I48381559"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["Hebei Normal University of Science & Technology, Qinhuangdao, Hebei Province, 066004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Normal University of Science & Technology, Qinhuangdao, Hebei Province, 066004","institution_ids":["https://openalex.org/I48381559"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48381559"],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55955688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9787999987602234,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9779000282287598,"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":0.7425445914268494},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6330722570419312},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6032769680023193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5350326895713806},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4779389202594757},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4597179889678955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3968488276004791}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425445914268494},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6330722570419312},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6032769680023193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5350326895713806},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4779389202594757},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4597179889678955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3968488276004791}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jmm.9.7.873-878","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.9.7.873-878","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1984453091","https://openalex.org/W1988222510","https://openalex.org/W2125531986","https://openalex.org/W2132914434","https://openalex.org/W2135674549","https://openalex.org/W2139850885","https://openalex.org/W2165874743","https://openalex.org/W2170418723","https://openalex.org/W2349349154","https://openalex.org/W2351849108","https://openalex.org/W2365515757","https://openalex.org/W2533380097","https://openalex.org/W6680905637","https://openalex.org/W6684578312"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W2090259340","https://openalex.org/W4310225030","https://openalex.org/W2083665254","https://openalex.org/W2393816671","https://openalex.org/W1534720161","https://openalex.org/W2804957450","https://openalex.org/W1482912984"],"abstract_inverted_index":{"With":[0],"the":[1,5,10,17,25,35,46,61,79,83,107,114,120,124,129,147,150,160,170,188,197,204],"rapid":[2],"development":[3],"of":[4,19,65,82,90,123,131],"computer":[6],"and":[7,57,63,75,85,119,136,158,168,216],"multimedia":[8],"technology,":[9],"video":[11,30,37,49,102,155,190,226],"processing":[12],"technique":[13],"is":[14,133],"applied":[15],"to":[16,23,33,127,166,186],"field":[18],"sports":[20,29,36,101,189],"in":[21,100,200],"order":[22],"analyze":[24],"sport":[26],"video.":[27],"For":[28],"analysis,":[31],"how":[32],"segment":[34,187],"image":[38,50,103,143,148,156,161],"has":[39,203],"become":[40],"an":[41,95],"important":[42],"research":[43],"topic.":[44],"Nowadays,":[45],"algorithms":[47,67],"for":[48,68,97],"segmentation":[51,71,99],"mainly":[52],"include":[53],"neural":[54],"network,":[55],"K-means":[56],"so":[58,217],"on.":[59,218],"However,":[60],"accuracy":[62],"speed":[64],"these":[66],"moving":[69],"objects":[70],"are":[72],"not":[73,137],"satisfied,":[74],"easily":[76],"influenced":[77],"by":[78,139],"irregular":[80],"movement":[81],"object":[84,98],"illumination,":[86],"etc.":[87],"In":[88],"view":[89],"this,":[91],"this":[92,201],"paper":[93,202],"proposes":[94],"algorithm":[96,111,185],"sequence,":[104],"based":[105],"on":[106,225],"spectral":[108,183],"clustering.":[109],"This":[110],"simultaneously":[112],"considers":[113],"pixel":[115],"level":[116],"visual":[117],"feature":[118,177],"edge":[121],"information":[122],"neighboring":[125],"pixels":[126],"make":[128],"calculation":[130],"similarity":[132],"more":[134],"intuitive":[135],"affected":[138],"factors":[140],"such":[141,206],"as":[142,207],"texture.":[144],"When":[145],"clustering":[146,181,184],"feature,":[149],"proposed":[151,199],"method:":[152],"(1)":[153],"preprocesses":[154],"sequence":[157],"extracts":[159],"feature.":[162],"(2)Using":[163],"weight":[164],"function":[165],"build":[167],"calculate":[169],"similar":[171],"matrix":[172],"between":[173],"pixels.":[174],"(2)":[175],"Extract":[176],"vector.":[178],"(3)":[179],"Perform":[180],"using":[182],"image.":[191,227],"The":[192],"experimental":[193],"results":[194],"indicate":[195],"that":[196],"method":[198],"advantages,":[205],"lower":[208],"complexity,":[209],"high":[210],"computational":[211,214],"effectiveness,":[212],"low":[213],"amount,":[215],"It":[219],"can":[220],"get":[221],"better":[222],"extraction":[223],"effects":[224]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
