{"id":"https://openalex.org/W1573775733","doi":"https://doi.org/10.1109/mmsp.2004.1436519","title":"A framework for fully automatic moving video-object segmentation based on graph partitioning and object tracking","display_name":"A framework for fully automatic moving video-object segmentation based on graph partitioning and object tracking","publication_year":2005,"publication_date":"2005-06-07","ids":{"openalex":"https://openalex.org/W1573775733","doi":"https://doi.org/10.1109/mmsp.2004.1436519","mag":"1573775733"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2004.1436519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2004.1436519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE 6th Workshop on Multimedia Signal Processing, 2004.","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/A5027791379","display_name":"I. Karliga","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"I. Karliga","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101702810","display_name":"Jenq\u2013Neng Hwang","orcid":"https://orcid.org/0000-0002-8877-2421"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jenq-Neng Hwang","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006520782","display_name":"Hwa-Jong Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwa-Jong Kim","raw_affiliation_strings":["Department of Electronics Engineering, Kangwon University, Chuncheon, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Kangwon University, Chuncheon, South Korea","institution_ids":["https://openalex.org/I165507594"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027791379"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":0.2937,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56694734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"171","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9957000017166138,"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":0.9957000017166138,"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":0.993399977684021,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9927999973297119,"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-vision","display_name":"Computer vision","score":0.8396931886672974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8155567646026611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740848183631897},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6786547899246216},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6226446628570557},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5725330114364624},{"id":"https://openalex.org/keywords/key-frame","display_name":"Key frame","score":0.5298267006874084},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5129046440124512},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.5014767646789551},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4872063994407654},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44529491662979126},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4389716684818268},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4305207133293152},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.41226091980934143},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1213308572769165}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8396931886672974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8155567646026611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740848183631897},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6786547899246216},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6226446628570557},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5725330114364624},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.5298267006874084},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5129046440124512},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.5014767646789551},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4872063994407654},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44529491662979126},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4389716684818268},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4305207133293152},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.41226091980934143},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1213308572769165},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2004.1436519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2004.1436519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE 6th Workshop on Multimedia Signal Processing, 2004.","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":11,"referenced_works":["https://openalex.org/W1523411603","https://openalex.org/W1554792131","https://openalex.org/W1640070940","https://openalex.org/W1950703464","https://openalex.org/W2039152227","https://openalex.org/W2117766076","https://openalex.org/W2120599612","https://openalex.org/W2132603077","https://openalex.org/W2140000690","https://openalex.org/W6636661408","https://openalex.org/W6640676278"],"related_works":["https://openalex.org/W3081018458","https://openalex.org/W1982044309","https://openalex.org/W2136124811","https://openalex.org/W2125918940","https://openalex.org/W1981663193","https://openalex.org/W4243381056","https://openalex.org/W2136748560","https://openalex.org/W1579940903","https://openalex.org/W1995589563","https://openalex.org/W2883634675"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,34,95,106],"novel":[3],"fully":[4],"automatic":[5],"moving":[6,29],"video-object":[7],"extraction":[8],"algorithm":[9,21,120],"based":[10,104],"on":[11,105],"graph":[12,19],"partitioning":[13,20],"and":[14,80],"object":[15,93],"tracking.":[16],"A":[17],"sophisticated":[18],"is":[22,65],"first":[23],"used":[24],"to":[25,100,124],"(intra-frame)":[26],"segment":[27],"the":[28,49,57,69,91,118,129],"video":[30],"objects":[31,71],"(VOs)":[32],"of":[33,42,45,60,62,72,77,110],"specific":[35],"(key)":[36],"frame":[37,54,98],"without":[38],"any":[39],"prior":[40],"knowledge":[41],"segmentation":[43,59],"results":[44,115,123],"previous":[46],"frame(s).":[47],"Once":[48],"VOs":[50,61],"for":[51],"this":[52],"key":[53,97],"are":[55],"extracted,":[56],"(inter-frame)":[58,92],"subsequent":[63],"frames":[64,74],"accomplished":[66],"by":[67,75,90],"tracking":[68],"segmented":[70],"consecutive":[73],"means":[76],"motion":[78,112],"projection":[79],"modified":[81],"histogram":[82],"back-projection.":[83],"To":[84],"avoid":[85],"significant":[86],"error":[87],"propagation":[88],"caused":[89],"tracking,":[94],"new":[96],"has":[99],"be":[101],"identified":[102],"periodically,":[103],"criterion":[107],"in":[108,128],"terms":[109],"camera":[111],"parameters.":[113],"Simulation":[114],"illustrate":[116],"that":[117],"proposed":[119],"gives":[121],"comparable":[122],"semi-automatic":[125],"methods":[126],"introduced":[127],"literature.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}