{"id":"https://openalex.org/W2095882292","doi":"https://doi.org/10.1109/icip.2008.4712437","title":"Interactive image segmentation via multi-cue dynamic integration","display_name":"Interactive image segmentation via multi-cue dynamic integration","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2095882292","doi":"https://doi.org/10.1109/icip.2008.4712437","mag":"2095882292"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","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/A5066282713","display_name":"Jieyu Zhao","orcid":"https://orcid.org/0000-0002-1013-557X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jieyu Zhao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","Research Institute of Computer Science and Technology, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Research Institute of Computer Science and Technology, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013884466","display_name":"Xiaowei Geng","orcid":"https://orcid.org/0000-0001-5265-0679"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Geng","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066282713"],"corresponding_institution_ids":["https://openalex.org/I109935558","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":0.3512,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64426069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3044","last_page":"3047"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7566247582435608},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7246402502059937},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6922046542167664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6914615631103516},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.678835928440094},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6544749736785889},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6360518336296082},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6333940625190735},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6060540676116943},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.47389641404151917},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.4459206461906433},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4376627206802368},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.41921207308769226},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41617435216903687}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7566247582435608},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7246402502059937},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6922046542167664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6914615631103516},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.678835928440094},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6544749736785889},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6360518336296082},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6333940625190735},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6060540676116943},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.47389641404151917},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.4459206461906433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4376627206802368},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.41921207308769226},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41617435216903687},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2008.4712437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1554544485","https://openalex.org/W1580693624","https://openalex.org/W1878940107","https://openalex.org/W1997063559","https://openalex.org/W2020999234","https://openalex.org/W2101309634","https://openalex.org/W2113137767","https://openalex.org/W2124351162","https://openalex.org/W2125148312","https://openalex.org/W2128768858","https://openalex.org/W2143516773","https://openalex.org/W2294819727","https://openalex.org/W4234235766","https://openalex.org/W4248635988"],"related_works":["https://openalex.org/W2204605857","https://openalex.org/W2183434644","https://openalex.org/W3196005494","https://openalex.org/W3017192027","https://openalex.org/W2475537384","https://openalex.org/W2093085045","https://openalex.org/W2344590996","https://openalex.org/W2386159816","https://openalex.org/W2170380303","https://openalex.org/W2355370993"],"abstract_inverted_index":{"Due":[0],"to":[1,17,39,56,115,175],"the":[2,7,13,40,49,67,79,117,128,132,155,162,166,172,177,189],"complex":[3,35],"scenes":[4],"involved":[5],"in":[6,152],"natural":[8,199],"images,":[9],"some":[10],"interactions":[11],"with":[12,106,154],"user":[14,133],"are":[15,44,149],"necessary":[16],"obtain":[18],"meaningful":[19],"segmentation":[20,24,75,100,163],"results.":[21],"Interactive":[22],"image":[23,36,74,99,156],"is":[25,54,111,181],"such":[26],"a":[27,34,58,63,72,93,107,138],"processing":[28],"technique":[29],"which":[30,180],"extracts":[31],"objects":[32],"from":[33],"background":[37],"according":[38],"user\u2019s":[41],"demand.":[42],"There":[43],"many":[45],"intrinsic":[46],"attributes":[47],"affecting":[48],"result":[50,60],"of":[51,66,120,131,165],"segmentation.":[52],"It":[53],"hard":[55,112],"produce":[57],"good":[59],"based":[61,77],"on":[62,78,197],"single":[64],"clue":[65],"image.":[68],"This":[69,83],"paper":[70],"presents":[71],"novel":[73],"method":[76,84,126,191],"dynamic":[80],"multi-cue":[81],"integration.":[82],"fuses":[85],"color,":[86],"texture,":[87],"spatial":[88],"and":[89,136,194],"edge":[90],"information":[91],"via":[92],"conditional":[94,139],"random":[95,140],"field.":[96],"Most":[97],"existing":[98],"algorithms":[101],"combine":[102],"multiple":[103],"cues":[104],"statically":[105],"constant":[108],"ratio,":[109],"it":[110],"for":[113],"them":[114],"describe":[116],"inherent":[118],"property":[119],"different":[121,143],"images":[122],"efficiently.":[123],"The":[124,185],"proposed":[125,190],"takes":[127],"full":[129],"advantage":[130],"labeled":[134],"information,":[135,179],"constructs":[137],"field":[141],"containing":[142],"energy":[144,147],"terms.":[145],"These":[146],"terms":[148],"fused":[150],"dynamically":[151],"accordance":[153],"inner":[157],"property,":[158],"thus":[159],"greatly":[160],"improves":[161],"power":[164],"model.":[167],"In":[168],"addition,":[169],"we":[170],"use":[171],"Jensen-Shannon":[173],"divergence":[174],"extract":[176],"border":[178],"robust":[182],"against":[183],"noise.":[184],"experimental":[186],"results":[187],"show":[188],"performs":[192],"steady":[193],"works":[195],"well":[196],"various":[198],"images.":[200]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}