{"id":"https://openalex.org/W2407715397","doi":"https://doi.org/10.1007/978-3-319-16817-3_45","title":"Superpixels for Video Content Using a Contour-Based EM Optimization","display_name":"Superpixels for Video Content Using a Contour-Based EM Optimization","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2407715397","doi":"https://doi.org/10.1007/978-3-319-16817-3_45","mag":"2407715397"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-16817-3_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-16817-3_45","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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089801184","display_name":"Matthias Reso","orcid":"https://orcid.org/0000-0002-1582-5860"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Matthias Reso","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004818538","display_name":"J\u00f6rn Jachalsky","orcid":null},"institutions":[{"id":"https://openalex.org/I2929663463","display_name":"Technicolor (Germany)","ror":"https://ror.org/00besvm65","country_code":"DE","type":"company","lineage":["https://openalex.org/I2929663463","https://openalex.org/I4210121266"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rn Jachalsky","raw_affiliation_strings":["Technicolor Research and Innovation, Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor Research and Innovation, Hannover, Germany","institution_ids":["https://openalex.org/I2929663463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040412734","display_name":"Bodo Rosenhahn","orcid":"https://orcid.org/0000-0003-3861-1424"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bodo Rosenhahn","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064913233","display_name":"J\u00f6rn \u00d6stermann","orcid":"https://orcid.org/0000-0002-6743-3324"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rn Ostermann","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089801184"],"corresponding_institution_ids":["https://openalex.org/I114112103"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2704,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63324463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"692","last_page":"707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9988999962806702,"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/preprocessor","display_name":"Preprocessor","score":0.8068667650222778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7214422225952148},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6938439607620239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6279690265655518},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6215947270393372},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6037552356719971},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5083803534507751},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.500643253326416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4072461724281311},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21944987773895264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11697778105735779},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.10398435592651367},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07765108346939087},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.05546069145202637}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.8068667650222778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214422225952148},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6938439607620239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6279690265655518},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6215947270393372},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6037552356719971},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5083803534507751},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.500643253326416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4072461724281311},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21944987773895264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11697778105735779},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.10398435592651367},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07765108346939087},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05546069145202637}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-16817-3_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-16817-3_45","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W159595522","https://openalex.org/W1500853963","https://openalex.org/W1526204103","https://openalex.org/W1548953334","https://openalex.org/W1964991682","https://openalex.org/W1970786134","https://openalex.org/W1994938019","https://openalex.org/W1999478155","https://openalex.org/W2012960460","https://openalex.org/W2030346542","https://openalex.org/W2068994826","https://openalex.org/W2081432165","https://openalex.org/W2083597815","https://openalex.org/W2096979710","https://openalex.org/W2104125540","https://openalex.org/W2110158442","https://openalex.org/W2112255529","https://openalex.org/W2118246710","https://openalex.org/W2126164636","https://openalex.org/W2128715362","https://openalex.org/W2129085190","https://openalex.org/W2136539266","https://openalex.org/W2136786668","https://openalex.org/W2139086308","https://openalex.org/W2150590906","https://openalex.org/W2155871590","https://openalex.org/W2168538937","https://openalex.org/W2293105860","https://openalex.org/W2294055436","https://openalex.org/W2294602567","https://openalex.org/W2914242123","https://openalex.org/W4232144418"],"related_works":["https://openalex.org/W2171116555","https://openalex.org/W4281553171","https://openalex.org/W2123374136","https://openalex.org/W2900363363","https://openalex.org/W3098068165","https://openalex.org/W2097144653","https://openalex.org/W1935875823","https://openalex.org/W1608643120","https://openalex.org/W1973088480","https://openalex.org/W1970467378"],"abstract_inverted_index":null,"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
