{"id":"https://openalex.org/W2137589124","doi":"https://doi.org/10.1109/icme.2001.1237853","title":"Object segmentation with affine motion similarity measure","display_name":"Object segmentation with affine motion similarity measure","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W2137589124","doi":"https://doi.org/10.1109/icme.2001.1237853","mag":"2137589124"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2001.1237853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2001.1237853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","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/A5103036503","display_name":"Haotian Li","orcid":"https://orcid.org/0009-0002-9964-3008"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"H. Li","raw_affiliation_strings":["Department of Elec. And Computer E, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Elec. And Computer E, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060326333","display_name":"Wanqiu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090209","display_name":"Institute of Microelectronics","ror":"https://ror.org/009rw8n36","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210090209","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"W.S. Lin","raw_affiliation_strings":["Institute of Microelectronics, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Singapore","institution_ids":["https://openalex.org/I4210090209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058210303","display_name":"B.J. Tye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090209","display_name":"Institute of Microelectronics","ror":"https://ror.org/009rw8n36","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210090209","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"B.J. Tye","raw_affiliation_strings":["Institute of Microelectronics, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Singapore","institution_ids":["https://openalex.org/I4210090209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030565922","display_name":"Ee Ping Ong","orcid":"https://orcid.org/0000-0002-9239-8399"},"institutions":[{"id":"https://openalex.org/I4210090209","display_name":"Institute of Microelectronics","ror":"https://ror.org/009rw8n36","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210090209","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"E.P. Ong","raw_affiliation_strings":["Institute of Microelectronics, Singapore"],"affiliations":[{"raw_affiliation_string":"Institute of Microelectronics, Singapore","institution_ids":["https://openalex.org/I4210090209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102723221","display_name":"C.C. Ko","orcid":"https://orcid.org/0000-0003-1950-6979"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"C.C. Ko","raw_affiliation_strings":["Department of Elec. And Computer E, National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Elec. And Computer E, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103036503"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.19684195,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"841","last_page":"844"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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/affine-transformation","display_name":"Affine transformation","score":0.8698111772537231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7567383646965027},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7017056941986084},{"id":"https://openalex.org/keywords/affine-shape-adaptation","display_name":"Affine shape adaptation","score":0.6727783679962158},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6601225137710571},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.589841902256012},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5581045150756836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5379384756088257},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48129740357398987},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47748327255249023},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4407259523868561},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4160802960395813},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4134688377380371},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4105827212333679},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4100847542285919},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35397303104400635},{"id":"https://openalex.org/keywords/affine-combination","display_name":"Affine combination","score":0.27592068910598755},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15777882933616638},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1056981086730957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10205140709877014}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8698111772537231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7567383646965027},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7017056941986084},{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.6727783679962158},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6601225137710571},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.589841902256012},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5581045150756836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5379384756088257},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48129740357398987},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47748327255249023},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4407259523868561},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4160802960395813},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4134688377380371},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4105827212333679},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4100847542285919},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35397303104400635},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.27592068910598755},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15777882933616638},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1056981086730957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10205140709877014},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2001.1237853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2001.1237853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1997936537","https://openalex.org/W2058815346","https://openalex.org/W2085669808","https://openalex.org/W2097352939","https://openalex.org/W2109562068","https://openalex.org/W2130666834","https://openalex.org/W2142912032","https://openalex.org/W2143441261","https://openalex.org/W2161039766","https://openalex.org/W6674530570"],"related_works":["https://openalex.org/W4234886518","https://openalex.org/W2389591058","https://openalex.org/W2382112581","https://openalex.org/W3124036233","https://openalex.org/W4229787472","https://openalex.org/W2486541857","https://openalex.org/W2108840191","https://openalex.org/W2759366996","https://openalex.org/W2110679372","https://openalex.org/W2354081742"],"abstract_inverted_index":{"Affine":[0],"motion":[1,7,42,68,82],"model":[2],"is":[3,47,88],"widely":[4],"used":[5],"in":[6,19],"segmentation.":[8],"Accurately":[9],"estimating":[10],"and":[11,85],"evaluating":[12],"affine":[13,41,58],"parameters":[14,59],"are":[15,63],"two":[16],"key":[17],"problems":[18],"such":[20],"kind":[21],"of":[22,76,99],"approaches.":[23],"This":[24],"paper":[25],"tries":[26],"to":[27,71,90],"address":[28],"these":[29],"issues":[30],"by":[31,65],"presenting":[32],"an":[33],"effective":[34],"video":[35],"object":[36],"segmentation":[37],"method":[38],"based":[39],"on":[40],"similarity":[43,83],"measure.":[44],"The":[45],"image":[46],"firstly":[48],"segmented":[49],"into":[50],"irregularly-shaped":[51],"intensity":[52],"homogenous":[53],"regions.":[54],"Then,":[55],"relatively":[56],"reliable":[57],"for":[60],"each":[61,77],"region":[62],"estimated":[64],"a":[66,80],"robust":[67],"estimator":[69],"according":[70],"the":[72,97,100],"individual":[73],"coordinate":[74],"system":[75],"region.":[78],"Finally,":[79],"new":[81],"measure":[84],"merge":[86],"process":[87],"applied":[89],"obtain":[91],"meaningful":[92],"objects.":[93],"Experimental":[94],"results":[95],"demonstrate":[96],"effectiveness":[98],"proposed":[101],"method.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
