{"id":"https://openalex.org/W2890636230","doi":"https://doi.org/10.1109/icip.2018.8451199","title":"Parallel Mean Shift Accuracy and Performance Trade-Offs","display_name":"Parallel Mean Shift Accuracy and Performance Trade-Offs","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890636230","doi":"https://doi.org/10.1109/icip.2018.8451199","mag":"2890636230"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5041196249","display_name":"Kirsty Duncan","orcid":null},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Kirsty R. Duncan","raw_affiliation_strings":["School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002171794","display_name":"Robert Stewart","orcid":"https://orcid.org/0000-0003-0365-693X"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Robert Stewart","raw_affiliation_strings":["School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030164076","display_name":"Greg Michaelson","orcid":"https://orcid.org/0000-0002-3437-6570"},"institutions":[{"id":"https://openalex.org/I32062511","display_name":"Heriot-Watt University","ror":"https://ror.org/04mghma93","country_code":"GB","type":"education","lineage":["https://openalex.org/I32062511"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Greg Michaelson","raw_affiliation_strings":["School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I32062511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041196249"],"corresponding_institution_ids":["https://openalex.org/I32062511"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09423969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"2197","last_page":"2201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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/T10052","display_name":"Medical Image Segmentation 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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9969000220298767,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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/speedup","display_name":"Speedup","score":0.8505403995513916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6346494555473328},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.5827595591545105},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5621722936630249},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.5512849688529968},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5009870529174805},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4991796016693115},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48493483662605286},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4279828667640686},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4224066734313965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3757615089416504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3573300838470459},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3518846035003662},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2486453354358673}],"concepts":[{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8505403995513916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6346494555473328},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.5827595591545105},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5621722936630249},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.5512849688529968},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5009870529174805},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4991796016693115},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48493483662605286},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4279828667640686},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4224066734313965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3757615089416504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3573300838470459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3518846035003662},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2486453354358673},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6374842700","display_name":null,"funder_award_id":"EP/N028201/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W50182133","https://openalex.org/W1553272164","https://openalex.org/W1594727437","https://openalex.org/W1964443764","https://openalex.org/W2002260165","https://openalex.org/W2067191022","https://openalex.org/W2081313007","https://openalex.org/W2121836097","https://openalex.org/W2121927366","https://openalex.org/W2130790795","https://openalex.org/W2137718414","https://openalex.org/W2159128898","https://openalex.org/W2164500538","https://openalex.org/W6633235072"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2545971808","https://openalex.org/W2142709933","https://openalex.org/W2376628591","https://openalex.org/W1994653991"],"abstract_inverted_index":{"This":[0],"paper":[1],"decomposes":[2],"the":[3,8,28,32,34,41,65,74,106,122],"algorithmic":[4,75],"parameters":[5,76],"that":[6],"affect":[7],"accuracy":[9,58,70],"and":[10,20,56,64,79,85,102],"parallel":[11,54],"run":[12,86,127],"times":[13],"of":[14,31,95,100,104,114,121,137],"mean":[15],"shift":[16,125],"segmentation.":[17],"Following":[18],"Comaniciu":[19],"Meer":[21],"[1],":[22],"rather":[23],"than":[24],"perform":[25],"calculations":[26],"in":[27],"feature":[29,45],"space":[30,46],"image,":[33],"joint":[35],"spatial-range":[36],"domain":[37],"is":[38,88,108,117,129],"represented":[39],"by":[40,110,131],"image":[42],"space,":[43],"with":[44,49,133],"information":[47],"associated":[48],"each":[50],"point.":[51],"We":[52],"report":[53],"speedup":[55,136],"segmentation":[57,62],"using":[59],"a":[60,80,91,135,140],"standardised":[61],"dataset":[63],"Probabilistic":[66],"Rand":[67],"index":[68],"(PRI)":[69],"measure.":[71],"Changes":[72],"to":[73,119],"are":[77],"analysed":[78],"sweet":[81],"spot":[82],"between":[83],"PRI":[84,107],"time":[87,128],"found.":[89],"Using":[90],"range":[92],"window":[93,98],"radius":[94,99],"20,":[96],"spatial":[97],"10":[101],"threshold":[103],"50,":[105],"improved":[109],"0.17,":[111],"an":[112],"increase":[113],"34%":[115],"which":[116],"comparable":[118],"state":[120],"art.":[123],"Mean":[124],"clustering":[126],"reduced":[130],"97%":[132],"parallelism,":[134],"32":[138],"on":[139],"64-core":[141],"CPU.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
