{"id":"https://openalex.org/W2162943637","doi":"https://doi.org/10.1109/icme.2002.1035548","title":"Region-based nonparametric optical flow segmentation with pre-clustering and post-clustering","display_name":"Region-based nonparametric optical flow segmentation with pre-clustering and post-clustering","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2162943637","doi":"https://doi.org/10.1109/icme.2002.1035548","mag":"2162943637"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2002.1035548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059248438","display_name":"Kai\u2010Kuang Ma","orcid":"https://orcid.org/0000-0003-2932-5709"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kai-Kuang Ma","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100601484","display_name":"Haiyun Wang","orcid":"https://orcid.org/0000-0003-4820-8778"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hai-Yun Wang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"201","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8108718991279602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7161720991134644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6952667236328125},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6855676174163818},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6114798188209534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5590018033981323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5476006269454956},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5442259311676025},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5065690279006958},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5002598762512207},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.46237704157829285},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.4562578797340393},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4356902539730072},{"id":"https://openalex.org/keywords/flame-clustering","display_name":"FLAME clustering","score":0.42823129892349243},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4134826958179474},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.4121142029762268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21701359748840332},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06023743748664856},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.05747315287590027}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8108718991279602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7161720991134644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952667236328125},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6855676174163818},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6114798188209534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5590018033981323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5476006269454956},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5442259311676025},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5065690279006958},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5002598762512207},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.46237704157829285},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.4562578797340393},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4356902539730072},{"id":"https://openalex.org/C44859942","wikidata":"https://www.wikidata.org/wiki/Q5426511","display_name":"FLAME clustering","level":5,"score":0.42823129892349243},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4134826958179474},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.4121142029762268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21701359748840332},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06023743748664856},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.05747315287590027}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2002.1035548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2002.1035548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1492614353","https://openalex.org/W1997866406","https://openalex.org/W2058815346","https://openalex.org/W2106133528","https://openalex.org/W2142912032","https://openalex.org/W3003662786","https://openalex.org/W6675828938"],"related_works":["https://openalex.org/W2491448268","https://openalex.org/W2892323093","https://openalex.org/W2394193399","https://openalex.org/W2374506950","https://openalex.org/W2352139139","https://openalex.org/W3071522575","https://openalex.org/W2399084168","https://openalex.org/W2054669762","https://openalex.org/W2358627945","https://openalex.org/W2998469710"],"abstract_inverted_index":{"A":[0],"region-based":[1],"nonparametric":[2],"video":[3,47,106],"object":[4,107],"segmentation":[5],"over":[6],"an":[7,67],"optical-flow":[8,51],"field":[9,30,52],"is":[10,53,81],"proposed":[11],"to":[12],"overcome":[13],"the":[14,45,49,77],"drawbacks":[15],"inherited":[16],"in":[17,105],"pixel-based":[18],"parametric":[19],"approaches.":[20],"The":[21],"key":[22],"novelties":[23],"of":[24],"this":[25],"approach":[26],"are:":[27],"(1)":[28],"motion":[29],"smoothing;":[31],"(2)":[32],"pre-clustering":[33,88],"and":[34,40,89],"post-clustering.":[35],"By":[36],"utilizing":[37],"both":[38],"spatial":[39],"temporal":[41],"information":[42],"extracted":[43],"from":[44],"input":[46],"sequence,":[48],"raw":[50],"partitioned":[54],"into":[55],"homogeneous":[56],"regions,":[57],"with":[58],"each":[59],"region":[60],"undergoing":[61],"a":[62,101],"common":[63],"translational":[64],"motion.":[65],"Such":[66],"objective":[68],"can":[69],"be":[70],"achieved":[71],"through":[72],"iterative":[73],"spatio-temporal":[74],"processing":[75],"until":[76],"predetermined":[78],"error-tolerance":[79],"threshold":[80],"met.":[82],"To":[83],"facilitate":[84],"fuzzy":[85],"c-means":[86],"clustering,":[87],"post-clustering":[90],"are":[91],"proposed.":[92],"Experimental":[93],"results":[94],"demonstrate":[95],"that":[96],"they":[97],"also":[98],"effectively":[99],"contribute":[100],"much":[102],"improved":[103],"performance":[104],"segmentation.":[108]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
