{"id":"https://openalex.org/W2029546095","doi":"https://doi.org/10.1145/1924559.1924567","title":"Bottom-up segmentation for ghost-free reconstruction of a dynamic scene from multi-exposure images","display_name":"Bottom-up segmentation for ghost-free reconstruction of a dynamic scene from multi-exposure images","publication_year":2010,"publication_date":"2010-12-12","ids":{"openalex":"https://openalex.org/W2029546095","doi":"https://doi.org/10.1145/1924559.1924567","mag":"2029546095"},"language":"en","primary_location":{"id":"doi:10.1145/1924559.1924567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1924559.1924567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing","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/A5070142969","display_name":"Shanmuganathan Raman","orcid":"https://orcid.org/0000-0003-2718-7891"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shanmuganathan Raman","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, India","Indian Institute of Technology-Bombay, Mumbai, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Indian Institute of Technology-Bombay, Mumbai, India#TAB#","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016405213","display_name":"Subhasis Chaudhuri","orcid":"https://orcid.org/0000-0002-1680-0016"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhasis Chaudhuri","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, India","Indian Institute of Technology-Bombay, Mumbai, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Indian Institute of Technology-Bombay, Mumbai, India#TAB#","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070142969"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.9561,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76545784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"56","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","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/high-dynamic-range","display_name":"High dynamic range","score":0.8161508440971375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8000340461730957},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7843002080917358},{"id":"https://openalex.org/keywords/compositing","display_name":"Compositing","score":0.7714475393295288},{"id":"https://openalex.org/keywords/tone-mapping","display_name":"Tone mapping","score":0.7457287311553955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7302538156509399},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6312078833580017},{"id":"https://openalex.org/keywords/high-dynamic-range-imaging","display_name":"High-dynamic-range imaging","score":0.5783016681671143},{"id":"https://openalex.org/keywords/dynamic-range","display_name":"Dynamic range","score":0.5020461082458496},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49886322021484375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4440053105354309},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.35059159994125366}],"concepts":[{"id":"https://openalex.org/C2780056265","wikidata":"https://www.wikidata.org/wiki/Q106239881","display_name":"High dynamic range","level":3,"score":0.8161508440971375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8000340461730957},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7843002080917358},{"id":"https://openalex.org/C129315195","wikidata":"https://www.wikidata.org/wiki/Q1121886","display_name":"Compositing","level":3,"score":0.7714475393295288},{"id":"https://openalex.org/C8641274","wikidata":"https://www.wikidata.org/wiki/Q1030958","display_name":"Tone mapping","level":4,"score":0.7457287311553955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7302538156509399},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6312078833580017},{"id":"https://openalex.org/C2781399445","wikidata":"https://www.wikidata.org/wiki/Q309254","display_name":"High-dynamic-range imaging","level":4,"score":0.5783016681671143},{"id":"https://openalex.org/C87133666","wikidata":"https://www.wikidata.org/wiki/Q1161699","display_name":"Dynamic range","level":2,"score":0.5020461082458496},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49886322021484375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4440053105354309},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.35059159994125366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1924559.1924567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1924559.1924567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W95698601","https://openalex.org/W1505723240","https://openalex.org/W1508404128","https://openalex.org/W1548595933","https://openalex.org/W1670547151","https://openalex.org/W1986617393","https://openalex.org/W1991970753","https://openalex.org/W1997057955","https://openalex.org/W1998393535","https://openalex.org/W2001933992","https://openalex.org/W2016423272","https://openalex.org/W2035234709","https://openalex.org/W2069281566","https://openalex.org/W2070604790","https://openalex.org/W2099908734","https://openalex.org/W2103802376","https://openalex.org/W2104125540","https://openalex.org/W2104815576","https://openalex.org/W2110248298","https://openalex.org/W2110285966","https://openalex.org/W2121947440","https://openalex.org/W2124351162","https://openalex.org/W2130700878","https://openalex.org/W2130724993","https://openalex.org/W2132817297","https://openalex.org/W2133934946","https://openalex.org/W2143736264","https://openalex.org/W2151996626","https://openalex.org/W2154791445","https://openalex.org/W2161918714","https://openalex.org/W2162253476","https://openalex.org/W2164409281","https://openalex.org/W2165949425","https://openalex.org/W2167897892","https://openalex.org/W2184872067","https://openalex.org/W2242047952","https://openalex.org/W2545985378","https://openalex.org/W2800378834","https://openalex.org/W4206610958","https://openalex.org/W4236229596"],"related_works":["https://openalex.org/W2884377208","https://openalex.org/W2014689642","https://openalex.org/W2410869481","https://openalex.org/W1939253538","https://openalex.org/W2737661967","https://openalex.org/W2008321379","https://openalex.org/W2162796060","https://openalex.org/W2028994033","https://openalex.org/W2538096928","https://openalex.org/W2011744347"],"abstract_inverted_index":{"High":[0],"Dynamic":[1,33],"Range":[2,34],"(HDR)":[3],"imaging":[4],"requires":[5],"one":[6],"to":[7,83,95],"composite":[8],"multiple":[9],"differently":[10],"exposed":[11],"images":[12],"of":[13,24,40,102,109,120,136],"a":[14,71,90],"scene":[15,52,85,138],"in":[16,133],"the":[17,25,38,51,63,98,103,134],"irradiance":[18],"domain":[19],"and":[20,124],"perform":[21],"tone":[22],"mapping":[23],"generated":[26],"HDR":[27,64],"image":[28,101],"for":[29,66],"displaying":[30],"on":[31],"Low":[32],"(LDR)":[35],"devices.":[36],"In":[37,58],"case":[39,135],"dynamic":[41,67,104],"scenes,":[42],"standard":[43],"techniques":[44],"may":[45],"introduce":[46],"artifacts":[47],"called":[48],"ghosts":[49],"if":[50],"changes":[53],"are":[54],"not":[55,116],"accounted":[56],"for.":[57],"this":[59],"paper,":[60],"we":[61,114],"consider":[62],"problem":[65],"scenes.":[68],"We":[69,87],"develop":[70],"novel":[72],"bottom-up":[73],"segmentation":[74],"algorithm":[75],"through":[76],"superpixel":[77],"grouping":[78],"which":[79],"would":[80],"enable":[81],"us":[82],"detect":[84],"changes.":[86,139],"then":[88],"employ":[89],"piecewise":[91],"patch-based":[92],"compositing":[93],"methodology":[94],"directly":[96],"generate":[97],"ghost-free":[99],"LDR":[100],"scene.":[105],"The":[106],"primary":[107],"advantage":[108],"our":[110,128],"approach":[111,129],"is":[112],"that":[113],"do":[115],"assume":[117],"any":[118],"knowledge":[119],"camera":[121],"response":[122],"function":[123],"exposure":[125],"settings.":[126],"Further,":[127],"performs":[130],"well":[131],"even":[132],"significant":[137]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
