{"id":"https://openalex.org/W2607912405","doi":"https://doi.org/10.1109/icpr.2016.7899924","title":"USEQ: Ultra-fast superpixel extraction via quantization","display_name":"USEQ: Ultra-fast superpixel extraction via quantization","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2607912405","doi":"https://doi.org/10.1109/icpr.2016.7899924","mag":"2607912405"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082146813","display_name":"Chun-Rong Huang","orcid":"https://orcid.org/0000-0003-2372-5429"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Rong Huang","raw_affiliation_strings":["Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084556197","display_name":"Weian Wang","orcid":"https://orcid.org/0000-0002-8995-6927"},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-An Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103761836","display_name":"Szu\u2010Yu Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Szu-Yu Lin","raw_affiliation_strings":["Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002217153","display_name":"Yen\u2010Yu Lin","orcid":"https://orcid.org/0000-0002-7183-6070"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Yu Lin","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7045,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84440478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1965","last_page":"1970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9979000091552734,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6283283233642578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5737392902374268},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49451252818107605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49191784858703613},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.48442700505256653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2455352544784546},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.149784654378891},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13078728318214417}],"concepts":[{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6283283233642578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5737392902374268},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49451252818107605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49191784858703613},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.48442700505256653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2455352544784546},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.149784654378891},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13078728318214417}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899924","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1548953334","https://openalex.org/W1938929646","https://openalex.org/W1994938019","https://openalex.org/W1999478155","https://openalex.org/W2003060733","https://openalex.org/W2004578244","https://openalex.org/W2010975286","https://openalex.org/W2055611119","https://openalex.org/W2067191022","https://openalex.org/W2108424265","https://openalex.org/W2109100175","https://openalex.org/W2110158442","https://openalex.org/W2110248298","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121947440","https://openalex.org/W2124260943","https://openalex.org/W2135431554","https://openalex.org/W2149233894","https://openalex.org/W2167094141","https://openalex.org/W2168495030","https://openalex.org/W2293105860","https://openalex.org/W6632792525","https://openalex.org/W6640464587","https://openalex.org/W6653423199"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,44],"novel":[3],"superpixel":[4,87],"extraction":[5],"method":[6],"named":[7],"USEQ":[8,89],"to":[9,38,56,71,78,82,86],"generate":[10,72],"regular":[11],"and":[12,31,41,50,61,73,103,107],"compact":[13],"superpixels.":[14,42,64],"To":[15],"reduce":[16],"the":[17,29,83],"computational":[18],"burden":[19],"of":[20,98],"iterative":[21],"optimization":[22],"procedures":[23],"used":[24],"in":[25,36,47,96],"most":[26],"recent":[27],"approaches,":[28],"spatial":[30],"color":[32],"quantizations":[33],"are":[34,68],"performed":[35],"advance":[37],"represent":[39],"pixels":[40,58],"Maximum":[43],"posteriori":[45],"estimation":[46],"both":[48],"pixel":[49],"region":[51],"levels":[52],"is":[53,108],"then":[54],"adopted":[55],"aggregate":[57],"into":[59],"spatially":[60],"visually":[62],"coherent":[63],"The":[65],"resultant":[66],"superpixels":[67],"extremely":[69],"efficient":[70],"can":[74,90],"more":[75],"precisely":[76],"adhere":[77],"object":[79],"boundaries.":[80],"Compared":[81],"state-of-the-art":[84],"approaches":[85],"extraction,":[88],"achieve":[91],"better":[92],"or":[93],"competitive":[94],"performance":[95],"terms":[97],"boundary":[99],"recall,":[100],"undersegmentation":[101],"error":[102],"achievable":[104],"segmentation":[105],"accuracy,":[106],"significantly":[109],"faster":[110],"than":[111],"these":[112],"approaches.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
