{"id":"https://openalex.org/W2078063036","doi":"https://doi.org/10.1109/apsipa.2014.7041693","title":"Interactive segmentation with seed expansion","display_name":"Interactive segmentation with seed expansion","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2078063036","doi":"https://doi.org/10.1109/apsipa.2014.7041693","mag":"2078063036"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2014.7041693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","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/A5069952850","display_name":"Gwangmo Song","orcid":"https://orcid.org/0000-0002-4332-9098"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Gwangmo Song","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea","Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023870894","display_name":"Heesoo Myeong","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heesoo Myeong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea","Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046504049","display_name":"Kyoung Mu Lee","orcid":"https://orcid.org/0000-0001-7210-1036"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoung Mu Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea","Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, ASRI, Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069952850"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":0.4877,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70229636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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":0.9988999962806702,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9976999759674072,"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/pascal","display_name":"Pascal (unit)","score":0.7660954594612122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254949808120728},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7198110222816467},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.647685706615448},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.619903028011322},{"id":"https://openalex.org/keywords/random-walk","display_name":"Random walk","score":0.5704521536827087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5257090926170349},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42863696813583374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3731081783771515},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34628480672836304},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24112606048583984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18539249897003174},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06820830702781677}],"concepts":[{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.7660954594612122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254949808120728},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7198110222816467},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.647685706615448},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.619903028011322},{"id":"https://openalex.org/C121194460","wikidata":"https://www.wikidata.org/wiki/Q856741","display_name":"Random walk","level":2,"score":0.5704521536827087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5257090926170349},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42863696813583374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3731081783771515},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34628480672836304},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24112606048583984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18539249897003174},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06820830702781677},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2014.7041693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","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":17,"referenced_works":["https://openalex.org/W1987983010","https://openalex.org/W1995714461","https://openalex.org/W2006104434","https://openalex.org/W2037227137","https://openalex.org/W2103423579","https://openalex.org/W2109815552","https://openalex.org/W2124260943","https://openalex.org/W2124351162","https://openalex.org/W2125436763","https://openalex.org/W2125637308","https://openalex.org/W2168555635","https://openalex.org/W2169527406","https://openalex.org/W2169551590","https://openalex.org/W2186094539","https://openalex.org/W2533218643","https://openalex.org/W6675465550","https://openalex.org/W6686583229"],"related_works":["https://openalex.org/W2069133146","https://openalex.org/W1663079876","https://openalex.org/W2017545316","https://openalex.org/W2100576949","https://openalex.org/W2159686533","https://openalex.org/W4242339654","https://openalex.org/W2349160795","https://openalex.org/W4286681602","https://openalex.org/W3209312100","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1,20,62],"paper,":[2],"we":[3,22],"address":[4,83],"the":[5,33,40,64,68,84,118],"problem":[6],"of":[7,35,39],"interactive":[8],"image":[9,14],"segmentation":[10,115],"which":[11,53,73],"segments":[12],"an":[13],"based":[15],"on":[16,49],"user-supplied":[17],"scribbles.":[18],"For":[19],"purpose,":[21],"propose":[23],"a":[24,88,112],"novel":[25],"framework":[26],"that":[27],"provides":[28],"consistent":[29],"performance":[30],"robust":[31,74],"to":[32,58],"location":[34],"input":[36],"seeds.":[37],"Most":[38],"existing":[41,119],"methods,":[42],"especially":[43],"random":[44,90],"walk-based":[45],"approaches,":[46],"strongly":[47],"depend":[48],"initial":[50],"seed":[51,69,75],"positions,":[52],"differ":[54],"from":[55],"one":[56],"user":[57],"another.":[59],"To":[60],"overcome":[61],"drawback,":[63],"proposed":[65],"algorithm":[66,96,110],"incorporates":[67],"expansion":[70],"step,":[71],"in":[72],"information":[76],"is":[77],"secured":[78],"and":[79,105],"improved.":[80],"We":[81,93],"also":[82],"computation":[85],"issue":[86],"using":[87,97],"coarse-to-fine":[89],"walk":[91],"technique.":[92],"evaluate":[94],"our":[95],"challenging":[98],"datasets,":[99],"such":[100],"as":[101],"Grabcut,":[102],"PASCAL":[103],"VOC":[104],"Alpha":[106],"matting":[107],"datasets.":[108],"Our":[109],"produces":[111],"more":[113],"accurate":[114],"results":[116],"than":[117],"methods.":[120]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}