{"id":"https://openalex.org/W2189430190","doi":"https://doi.org/10.1007/978-3-319-24947-6_46","title":"Superpixel Segmentation: An Evaluation","display_name":"Superpixel Segmentation: An Evaluation","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2189430190","doi":"https://doi.org/10.1007/978-3-319-24947-6_46","mag":"2189430190"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-24947-6_46","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24947-6_46","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-24947-6_46","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002157796","display_name":"David Stutz","orcid":"https://orcid.org/0000-0002-6286-1805"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"David Stutz","raw_affiliation_strings":["Computer Vision Group, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision Group, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002157796"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":1.2167,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.88745138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"555","last_page":"562"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9994999766349792,"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":0.9993000030517578,"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":0.893697202205658},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.745518147945404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5804435610771179},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48114168643951416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45967036485671997},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4444974362850189},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4102310538291931},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34671521186828613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32282131910324097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.893697202205658},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.745518147945404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5804435610771179},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48114168643951416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45967036485671997},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4444974362850189},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4102310538291931},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34671521186828613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32282131910324097}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-319-24947-6_46","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24947-6_46","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:publications.rwth-aachen.de:667316","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/667316","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cham : Springer International Publishing; Springer, Lecture Notes in Computer Science 9358, 555-562 (2015). doi:10.1007/978-3-319-24947-6_46","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-24947-6_46","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-24947-6_46","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1491697174","https://openalex.org/W1508404128","https://openalex.org/W1514657606","https://openalex.org/W1526204103","https://openalex.org/W1548953334","https://openalex.org/W1976567435","https://openalex.org/W1992779583","https://openalex.org/W1994938019","https://openalex.org/W1999478155","https://openalex.org/W2004578244","https://openalex.org/W2016872984","https://openalex.org/W2067912884","https://openalex.org/W2104125540","https://openalex.org/W2110158442","https://openalex.org/W2117201204","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2119823327","https://openalex.org/W2135249503","https://openalex.org/W2135431554","https://openalex.org/W2149836163","https://openalex.org/W2165140157","https://openalex.org/W2167094141","https://openalex.org/W2293105860","https://openalex.org/W2294055436","https://openalex.org/W2294602567"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W4379231730","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W4389858081","https://openalex.org/W2961085424","https://openalex.org/W2322875716","https://openalex.org/W4324315429","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"superpixel":[3,40],"algorithms":[4,44],"have":[5,16],"become":[6],"a":[7,32],"standard":[8],"tool":[9],"in":[10],"computer":[11],"vision":[12],"and":[13,34,60,71],"many":[14],"approaches":[15],"been":[17],"proposed.":[18],"However,":[19],"different":[20],"evaluation":[21],"methodologies":[22],"make":[23],"direct":[24],"comparison":[25,36],"difficult.":[26],"We":[27],"address":[28],"this":[29],"shortcoming":[30],"with":[31],"thorough":[33],"fair":[35],"of":[37],"thirteen":[38],"state-of-the-art":[39],"algorithms.":[41],"To":[42],"include":[43],"utilizing":[45],"depth":[46],"information":[47],"we":[48],"present":[49],"results":[50],"on":[51,69],"both":[52],"the":[53,61],"Berkeley":[54],"Segmentation":[55],"Dataset":[56,64],"[":[57,65],"3":[58],"]":[59],"NYU":[62],"Depth":[63],"19":[66],"].":[67],"Based":[68],"qualitative":[70],"quantitative":[72],"aspects,":[73],"our":[74],"work":[75],"allows":[76],"to":[77],"guide":[78],"algorithm":[79],"selection":[80],"by":[81],"identifying":[82],"important":[83],"quality":[84],"characteristics.":[85]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}