{"id":"https://openalex.org/W2108410329","doi":"https://doi.org/10.1109/icme.2003.1221712","title":"Video segmentation using stabilized inverse diffusion","display_name":"Video segmentation using stabilized inverse diffusion","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2108410329","doi":"https://doi.org/10.1109/icme.2003.1221712","mag":"2108410329"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2003.1221712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","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/A5045219436","display_name":"A. Mani","orcid":null},"institutions":[{"id":"https://openalex.org/I1333370159","display_name":"Motorola (United States)","ror":"https://ror.org/01hafxd32","country_code":"US","type":"company","lineage":["https://openalex.org/I1333370159"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. Mani","raw_affiliation_strings":["Motorola India Electronics Limited, Hyderabad, India","Motorola India Electron. Ltd., Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Motorola India Electronics Limited, Hyderabad, India","institution_ids":[]},{"raw_affiliation_string":"Motorola India Electron. Ltd., Hyderabad, India","institution_ids":["https://openalex.org/I1333370159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045219436"],"corresponding_institution_ids":["https://openalex.org/I1333370159"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17290318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"II","last_page":"697"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976000189781189,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9976000189781189,"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":0.9962000250816345,"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":0.9918000102043152,"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/segmentation","display_name":"Segmentation","score":0.6814560890197754},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.6550285816192627},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6538512110710144},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6407159566879272},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6188278794288635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5511396527290344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5440565347671509},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5427671670913696},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5267795324325562},{"id":"https://openalex.org/keywords/diffusion-process","display_name":"Diffusion process","score":0.5125269889831543},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.47043201327323914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35935842990875244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35093367099761963},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33334702253341675},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3023218810558319},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1226867139339447},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07932770252227783}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6814560890197754},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.6550285816192627},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6538512110710144},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6407159566879272},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6188278794288635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5511396527290344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440565347671509},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5427671670913696},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5267795324325562},{"id":"https://openalex.org/C68710425","wikidata":"https://www.wikidata.org/wiki/Q5275442","display_name":"Diffusion process","level":3,"score":0.5125269889831543},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.47043201327323914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35935842990875244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35093367099761963},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33334702253341675},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3023218810558319},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1226867139339447},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07932770252227783},{"id":"https://openalex.org/C3017618536","wikidata":"https://www.wikidata.org/wiki/Q304994","display_name":"Innovation diffusion","level":2,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2003.1221712","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221712","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","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":16,"referenced_works":["https://openalex.org/W1536939704","https://openalex.org/W2002600126","https://openalex.org/W2103343776","https://openalex.org/W2110421183","https://openalex.org/W2115886973","https://openalex.org/W2122893959","https://openalex.org/W2130916290","https://openalex.org/W2139281013","https://openalex.org/W2150134853","https://openalex.org/W2158007589","https://openalex.org/W2164286848","https://openalex.org/W2168131174","https://openalex.org/W6675613995","https://openalex.org/W6679176343","https://openalex.org/W6680475957","https://openalex.org/W6684223958"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"A":[0],"video":[1,21],"segmentation":[2,52,85],"scheme":[3,12,53],"using":[4],"stabilized":[5,27],"inverse":[6,28],"diffusion":[7,24,29,43],"equations":[8],"is":[9,13,30,54,69],"proposed.":[10],"The":[11,51],"based":[14,55],"on":[15,56],"the":[16,41,66,73,80],"non-linear":[17],"scale-space":[18,63],"analysis":[19],"of":[20,65],"lattice.":[22],"Non-linear":[23],"and":[25],"especially":[26],"a":[31,61],"very":[32],"robust":[33],"method":[34],"for":[35,87],"image":[36,67,89],"segmentation.":[37],"In":[38],"this":[39,57],"paper":[40],"two-dimensional":[42],"process":[44],"has":[45],"been":[46],"extended":[47,58],"to":[48],"three":[49],"dimensions.":[50],"process.":[59],"Also,":[60],"progressive":[62],"evolution":[64],"sequence":[68],"proposed":[70],"that":[71],"reduces":[72],"memory":[74],"requirements":[75],"as":[76,78],"well":[77],"solves":[79],"region":[81],"correspondence":[82],"problem.":[83],"Finally,":[84],"results":[86],"two":[88],"sequences":[90],"are":[91],"shown.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
