{"id":"https://openalex.org/W2082327893","doi":"https://doi.org/10.1109/iscc.2014.6912539","title":"Image segmentation based on complexity mining and mean-shift algorithm","display_name":"Image segmentation based on complexity mining and mean-shift algorithm","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2082327893","doi":"https://doi.org/10.1109/iscc.2014.6912539","mag":"2082327893"},"language":"en","primary_location":{"id":"doi:10.1109/iscc.2014.6912539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2014.6912539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computers and Communications (ISCC)","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/A5081946336","display_name":"J. Sirotkovic","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jadran Sirotkovic","raw_affiliation_strings":["Siemens CVC d.o.o, Split, Croatia","[Siemens CVC d.o.o., Split, Croatia]"],"affiliations":[{"raw_affiliation_string":"Siemens CVC d.o.o, Split, Croatia","institution_ids":[]},{"raw_affiliation_string":"[Siemens CVC d.o.o., Split, Croatia]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053714117","display_name":"Hrvoje Dujmi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I92251255","display_name":"University of Split","ror":"https://ror.org/00m31ft63","country_code":"HR","type":"education","lineage":["https://openalex.org/I92251255"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Hrvoje Dujmic","raw_affiliation_strings":["FESB, University of Split, Split, Croatia","FESB, University of Split, Croatia#TAB#"],"affiliations":[{"raw_affiliation_string":"FESB, University of Split, Split, Croatia","institution_ids":["https://openalex.org/I92251255"]},{"raw_affiliation_string":"FESB, University of Split, Croatia#TAB#","institution_ids":["https://openalex.org/I92251255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013504831","display_name":"Vladan Papi\u0107","orcid":"https://orcid.org/0000-0002-1873-6353"},"institutions":[{"id":"https://openalex.org/I92251255","display_name":"University of Split","ror":"https://ror.org/00m31ft63","country_code":"HR","type":"education","lineage":["https://openalex.org/I92251255"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Vladan Papic","raw_affiliation_strings":["FESB, University of Split, Split, Croatia","FESB, University of Split, Croatia#TAB#"],"affiliations":[{"raw_affiliation_string":"FESB, University of Split, Split, Croatia","institution_ids":["https://openalex.org/I92251255"]},{"raw_affiliation_string":"FESB, University of Split, Croatia#TAB#","institution_ids":["https://openalex.org/I92251255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081946336"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7316,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76468014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"6"},"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":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9965999722480774,"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/mean-shift","display_name":"Mean-shift","score":0.8965085744857788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756151556968689},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7314971089363098},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6517618894577026},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.6354652643203735},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5504067540168762},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5493700504302979},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.48763027787208557},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4711315333843231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4581327736377716},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4386341869831085},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3299221992492676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12973010540008545}],"concepts":[{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.8965085744857788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756151556968689},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7314971089363098},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6517618894577026},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.6354652643203735},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5504067540168762},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5493700504302979},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.48763027787208557},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4711315333843231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4581327736377716},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4386341869831085},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3299221992492676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12973010540008545},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc.2014.6912539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2014.6912539","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computers and Communications (ISCC)","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":24,"referenced_works":["https://openalex.org/W1488789879","https://openalex.org/W1594727437","https://openalex.org/W1606881493","https://openalex.org/W1749491029","https://openalex.org/W2016067613","https://openalex.org/W2022686119","https://openalex.org/W2067191022","https://openalex.org/W2070873045","https://openalex.org/W2100435576","https://openalex.org/W2113503306","https://openalex.org/W2126099240","https://openalex.org/W2133059825","https://openalex.org/W2136277000","https://openalex.org/W2148319325","https://openalex.org/W2150329270","https://openalex.org/W2158819362","https://openalex.org/W2164500538","https://openalex.org/W2171731854","https://openalex.org/W2488765712","https://openalex.org/W4205687621","https://openalex.org/W6629076848","https://openalex.org/W6635738432","https://openalex.org/W6682119398","https://openalex.org/W6723322012"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2370307590","https://openalex.org/W2945274617","https://openalex.org/W2365032270","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W2371519352","https://openalex.org/W4205800335"],"abstract_inverted_index":{"Mean":[0],"shift":[1,60,99],"algorithm":[2,69],"is":[3,12,106,116],"a":[4,51,109],"well":[5],"established":[6],"method":[7,115,136],"for":[8,38],"image":[9,78],"segmentation.":[10],"It":[11],"particularly":[13],"popular":[14],"technique":[15],"due":[16],"to":[17,81,141],"non-parametric":[18],"nature":[19],"which":[20,54],"enables":[21],"efficient":[22],"segmentation":[23,39,102,139],"of":[24,40,58,76,86,103,113,121],"complex":[25,91],"arbitrary":[26],"shapes.":[27],"Despite":[28],"such":[29],"advantage,":[30],"high":[31,41],"computational":[32],"complexity":[33,62,85],"still":[34],"makes":[35],"it":[36],"unsuitable":[37],"resolution":[42],"images":[43],"in":[44,79,150],"time":[45],"critical":[46],"applications.":[47],"This":[48],"paper":[49],"introduces":[50],"new":[52],"approach":[53],"alleviates":[55],"performance":[56],"issues":[57],"mean":[59,98,144],"using":[61],"reduction":[63,149],"based":[64],"on":[65,126],"information":[66,73],"theory.":[67],"Proposed":[68],"starts":[70],"by":[71,95,108],"calculating":[72],"potential":[74],"field":[75],"the":[77,87,122,127],"order":[80],"get":[82],"insight":[83],"into":[84],"regions.":[88],"Afterwards,":[89],"only":[90],"regions":[92,105],"are":[93],"segmented":[94],"computationally":[96],"expensive":[97],"algorithm,":[100],"while":[101],"simpler":[104],"performed":[107],"cheaper":[110],"method.":[111],"Performance":[112],"our":[114,135],"additionally":[117],"improved":[118],"with":[119,147],"execution":[120,152],"key":[123],"code":[124],"sections":[125],"GPGPU":[128],"platform.":[129],"Experimental":[130],"results":[131],"have":[132],"shown":[133],"that":[134],"produces":[137],"comparable":[138],"quality":[140],"regular":[142],"parallel":[143],"shift,":[145],"but":[146],"significant":[148],"overall":[151],"time.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}