{"id":"https://openalex.org/W2441552298","doi":"https://doi.org/10.1109/ncvpripg.2015.7490058","title":"Information set based approach for salient object detection","display_name":"Information set based approach for salient object detection","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2441552298","doi":"https://doi.org/10.1109/ncvpripg.2015.7490058","mag":"2441552298"},"language":"en","primary_location":{"id":"doi:10.1109/ncvpripg.2015.7490058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7490058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","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/A5073520076","display_name":"Aditi Kapoor","orcid":"https://orcid.org/0000-0001-8215-9549"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aditi Kapoor","raw_affiliation_strings":["Amar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi"],"affiliations":[{"raw_affiliation_string":"Amar Nath and Shashi Khosla School of Information Technology, Indian Institute of Technology Delhi, New Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001014719","display_name":"K. K. Biswas","orcid":"https://orcid.org/0000-0001-7100-9449"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. K. Biswas","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112385476","display_name":"M. Hanmandlu","orcid":null},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Hanmandlu","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073520076"],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22262467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9682000279426575,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.8277535438537598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7160404324531555},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.685439944267273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6148509383201599},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5461881160736084},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.5394483804702759},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49389511346817017},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48644065856933594},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43661290407180786},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.41074472665786743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35411956906318665},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.3251935839653015},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07680264115333557}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8277535438537598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7160404324531555},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.685439944267273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6148509383201599},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5461881160736084},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.5394483804702759},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49389511346817017},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48644065856933594},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43661290407180786},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.41074472665786743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35411956906318665},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.3251935839653015},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07680264115333557},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncvpripg.2015.7490058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncvpripg.2015.7490058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)","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":23,"referenced_works":["https://openalex.org/W1526842517","https://openalex.org/W1622427076","https://openalex.org/W1772076007","https://openalex.org/W1996326832","https://openalex.org/W2008066834","https://openalex.org/W2020523103","https://openalex.org/W2028327943","https://openalex.org/W2035603001","https://openalex.org/W2037954058","https://openalex.org/W2041719651","https://openalex.org/W2068194118","https://openalex.org/W2087588152","https://openalex.org/W2103666701","https://openalex.org/W2122076510","https://openalex.org/W2128272608","https://openalex.org/W2133589685","https://openalex.org/W2139047169","https://openalex.org/W2156777442","https://openalex.org/W2159772167","https://openalex.org/W2166650627","https://openalex.org/W3104979525","https://openalex.org/W6636823979","https://openalex.org/W6680614221"],"related_works":["https://openalex.org/W1990245967","https://openalex.org/W2054177013","https://openalex.org/W4383506493","https://openalex.org/W1994772959","https://openalex.org/W2427340667","https://openalex.org/W2136398500","https://openalex.org/W2600517000","https://openalex.org/W4377104339","https://openalex.org/W2324500060","https://openalex.org/W2106711308"],"abstract_inverted_index":{"Human":[0],"attention":[1],"tends":[2],"to":[3,123,131,152,187],"get":[4],"focused":[5],"on":[6,49,182],"the":[7,20,53,69,80,102,116,124,140,144,150,165,170,189],"most":[8],"prominent":[9],"components":[10,163],"of":[11,33,45,57,82,91,104,118,120,143,149,157,164,175,191],"a":[12,83,105,111,154,183],"scene":[13],"which":[14,114],"are":[15,23,180],"in":[16,31,55,68,89,173],"sharp":[17],"contrast":[18],"with":[19,52,101,169],"background.":[21],"These":[22],"termed":[24],"as":[25],"salient":[26,46,72,86,141],"regions.":[27],"Saliency":[28],"is":[29,108,129],"defined":[30],"terms":[32,56,90,174],"local":[34],"and":[35,59,161,178],"global":[36],"feature":[37],"contrasts.":[38],"The":[39,98,126],"human":[40],"brain":[41],"perceives":[42],"an":[43,135],"object":[44,73],"type":[47],"based":[48,66],"its":[50],"difference":[51],"surroundings":[54],"color":[58,65,96,160],"texture.":[60],"There":[61],"have":[62],"been":[63],"many":[64],"approaches":[67],"past":[70],"for":[71],"detection.":[74],"In":[75],"this":[76,192],"paper,":[77],"we":[78,146],"define":[79],"uncertainty":[81,99,128],"window":[84],"being":[85],"or":[87],"background":[88],"information":[92],"extracted":[93],"from":[94,159],"different":[95],"components.":[97],"associated":[100],"elements":[103],"fuzzy":[106],"set":[107,156],"described":[109],"by":[110,134],"membership":[112],"function,":[113],"gives":[115],"degree":[117],"association":[119],"each":[121],"element":[122],"set.":[125],"overall":[127],"sought":[130],"be":[132],"quantified":[133],"entropy":[136,151],"function.":[137],"To":[138],"locate":[139],"parts":[142],"image,":[145],"make":[147],"use":[148],"compute":[153],"new":[155],"features":[158],"luminance":[162],"image.":[166],"Extensive":[167],"comparisons":[168],"state-of-the-art":[171],"methods":[172],"precision,":[176],"recall":[177],"F-Measure":[179],"made":[181],"publicly":[184],"available":[185],"dataset":[186],"prove":[188],"effectiveness":[190],"approach.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}