{"id":"https://openalex.org/W2513634012","doi":"https://doi.org/10.1109/icme.2016.7552898","title":"Spherical superpixel segmentation","display_name":"Spherical superpixel segmentation","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2513634012","doi":"https://doi.org/10.1109/icme.2016.7552898","mag":"2513634012"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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/A5063969891","display_name":"Qiang Zhao","orcid":"https://orcid.org/0000-0002-5867-3828"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Zhao","raw_affiliation_strings":["School of Computer Software, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Software, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000209938","display_name":"Liang Wan","orcid":"https://orcid.org/0000-0001-5501-9575"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Wan","raw_affiliation_strings":["School of Computer Software, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Software, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086311840","display_name":"Jiawan Zhang","orcid":"https://orcid.org/0000-0002-0667-6744"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawan Zhang","raw_affiliation_strings":["School of Computer Software, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Software, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063969891"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56572742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"50","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9987000226974487,"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/segmentation","display_name":"Segmentation","score":0.6648247241973877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6280931234359741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5904517769813538},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5785646438598633},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5549736022949219},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5117254257202148},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4920046031475067},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4785512089729309},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4604424238204956},{"id":"https://openalex.org/keywords/spherical-model","display_name":"Spherical model","score":0.4278932213783264},{"id":"https://openalex.org/keywords/spherical-geometry","display_name":"Spherical geometry","score":0.42338818311691284},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4166768193244934},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3336073160171509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3105981945991516},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2558521032333374},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11506861448287964},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07329005002975464}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6648247241973877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6280931234359741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5904517769813538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5785646438598633},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5549736022949219},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5117254257202148},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4920046031475067},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4785512089729309},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4604424238204956},{"id":"https://openalex.org/C2778084274","wikidata":"https://www.wikidata.org/wiki/Q7576711","display_name":"Spherical model","level":2,"score":0.4278932213783264},{"id":"https://openalex.org/C77730005","wikidata":"https://www.wikidata.org/wiki/Q326905","display_name":"Spherical geometry","level":2,"score":0.42338818311691284},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4166768193244934},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3336073160171509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3105981945991516},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2558521032333374},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11506861448287964},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07329005002975464},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2016.7552898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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":18,"referenced_works":["https://openalex.org/W566730006","https://openalex.org/W1542723449","https://openalex.org/W1955404912","https://openalex.org/W1965705366","https://openalex.org/W1969778848","https://openalex.org/W1999478155","https://openalex.org/W2000261957","https://openalex.org/W2001133651","https://openalex.org/W2008055107","https://openalex.org/W2118246710","https://openalex.org/W2121927366","https://openalex.org/W2136405884","https://openalex.org/W2150376021","https://openalex.org/W2160398734","https://openalex.org/W2317688867","https://openalex.org/W2545985378","https://openalex.org/W6683208986","https://openalex.org/W6729085054"],"related_works":["https://openalex.org/W1522196789","https://openalex.org/W1990961940","https://openalex.org/W3037060168","https://openalex.org/W3115973974","https://openalex.org/W2022069221","https://openalex.org/W2071656955","https://openalex.org/W4394634905","https://openalex.org/W2950714207","https://openalex.org/W4321637725","https://openalex.org/W2125110984"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,48],"present":[4],"a":[5,50],"superpixel":[6,23],"generation":[7],"method":[8,69,91],"for":[9,35],"spherical":[10,27,36,51,62,82],"images,":[11,28],"which":[12],"cover":[13],"360\u00b0":[14],"field-of-view.":[15],"Unlike":[16],"previous":[17],"works":[18],"that":[19,67],"directly":[20],"use":[21],"existing":[22],"algorithms":[24],"on":[25],"unrolled":[26],"our":[29,68,90],"approach":[30],"explicitly":[31],"considers":[32],"the":[33,42,61],"geometry":[34],"images":[37],"and":[38,81],"uses":[39],"sphere":[40],"as":[41],"underlying":[43],"representation.":[44],"For":[45],"quantitative":[46],"evaluation,":[47],"make":[49],"image":[52,79],"segmentation":[53,58],"database":[54],"by":[55,89],"transforming":[56],"Berkeley":[57],"dataset":[59],"to":[60,78],"domain.":[63],"Experimental":[64],"results":[65],"show":[66],"can":[70],"get":[71],"better":[72],"performance":[73],"in":[74],"terms":[75],"of":[76],"adherence":[77],"boundaries":[80],"size":[83],"variance.":[84],"What's":[85],"more,":[86],"superpixels":[87],"generated":[88],"all":[92],"have":[93],"closed":[94],"contours.":[95]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
