{"id":"https://openalex.org/W2608847485","doi":"https://doi.org/10.1109/icpr.2016.7899911","title":"RGB-D saliency detection under Bayesian framework","display_name":"RGB-D saliency detection under Bayesian framework","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608847485","doi":"https://doi.org/10.1109/icpr.2016.7899911","mag":"2608847485"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"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/A5003124638","display_name":"Songtao Wang","orcid":"https://orcid.org/0009-0002-4037-8596"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]},{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song-Tao Wang","raw_affiliation_strings":["Key Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, Beijing, China","The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science & Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210162962"]},{"raw_affiliation_string":"The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science & Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636124","display_name":"Zhen Zhou","orcid":"https://orcid.org/0000-0002-7371-2100"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Zhou","raw_affiliation_strings":["The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science & Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science & Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793405","display_name":"Hanbing Qu","orcid":"https://orcid.org/0000-0002-5603-8572"},"institutions":[{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han-Bing Qu","raw_affiliation_strings":["Key Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210162962"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654790","display_name":"Bin Li","orcid":"https://orcid.org/0000-0001-8268-0430"},"institutions":[{"id":"https://openalex.org/I4210162962","display_name":"Beijing Academy of Science and Technology","ror":"https://ror.org/05ct4fn38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210162962"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["Key Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Pattern Recognition, Beijing Academy of Science and Technology, Beijing, China","institution_ids":["https://openalex.org/I4210162962"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1881","last_page":"1886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":1.0,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9912999868392944,"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":0.974399983882904,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7911660671234131},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6783719062805176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6472934484481812},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5915746092796326},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5793588161468506},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5781027674674988},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5477197170257568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5274786353111267},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5095815658569336},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4702046513557434},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45913344621658325},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4504823684692383},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44308993220329285},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41829031705856323},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4147064685821533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40560418367385864},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20962435007095337}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7911660671234131},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6783719062805176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6472934484481812},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5915746092796326},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5793588161468506},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5781027674674988},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5477197170257568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5274786353111267},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5095815658569336},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4702046513557434},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45913344621658325},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4504823684692383},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44308993220329285},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41829031705856323},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4147064685821533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40560418367385864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20962435007095337},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2016.7899911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1497443722","https://openalex.org/W1521843029","https://openalex.org/W1605517717","https://openalex.org/W1894057436","https://openalex.org/W1978741881","https://openalex.org/W1997137149","https://openalex.org/W2000946514","https://openalex.org/W2004314856","https://openalex.org/W2034436892","https://openalex.org/W2039313011","https://openalex.org/W2055111849","https://openalex.org/W2080541453","https://openalex.org/W2094518209","https://openalex.org/W2095498096","https://openalex.org/W2103666701","https://openalex.org/W2107055466","https://openalex.org/W2118246710","https://openalex.org/W2128272608","https://openalex.org/W2129865252","https://openalex.org/W2135957164","https://openalex.org/W2146103513","https://openalex.org/W2159772167","https://openalex.org/W2164084182","https://openalex.org/W2166184839","https://openalex.org/W2170632605","https://openalex.org/W2171294235","https://openalex.org/W6639359414","https://openalex.org/W6644978451","https://openalex.org/W6676006193","https://openalex.org/W6680437723","https://openalex.org/W6683629251"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W2343819364","https://openalex.org/W2133205540","https://openalex.org/W2793406240","https://openalex.org/W2164129707","https://openalex.org/W4292122269"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,22,54,70,97,137,147],"saliency":[6,43,61,65,110,115,118],"detection":[7],"model":[8,40,103,134,156],"for":[9],"RGB-D":[10],"images":[11],"based":[12,31,73],"on":[13,32,74,146],"the":[14,41,47,59,63,95,108,113,132,154],"contrasting":[15],"features":[16,52,90],"of":[17,49],"color":[18,64,117],"and":[19,87,116],"depth":[20,26,42,60,114],"within":[21],"Bayesian":[23],"framework.":[24],"The":[25,124,143],"feature":[27],"map":[28,44,66,111],"is":[29,67,104],"extracted":[30],"superpixel":[33],"contrast":[34,51,89],"computation":[35],"with":[36],"spatial":[37],"priors.":[38],"We":[39],"by":[45,79,120,135],"approximating":[46],"density":[48],"depth-based":[50,88],"using":[53,69,136],"Gaussian":[55,71,125],"distribution.":[56],"Similar":[57],"to":[58,106],"computation,":[62],"computed":[68],"distribution":[72,126],"multi-scale":[75],"contrasts":[76],"in":[77,131],"superpixels":[78],"exploiting":[80],"low-level":[81],"cues.":[82],"By":[83],"assuming":[84],"that":[85,153],"color-":[86],"are":[91],"conditionally":[92],"independent,":[93],"given":[94],"classes,":[96],"discriminative":[98],"mixed-membership":[99],"naive":[100],"Bayes":[101],"(DMNB)":[102],"used":[105],"calculate":[107],"final":[109],"from":[112],"probabilities":[119],"applying":[121],"Bayes'":[122],"theorem.":[123],"parameter":[127],"can":[128],"be":[129],"estimated":[130],"DMNB":[133],"variational":[138],"inference-based":[139],"expectation":[140],"maximization":[141],"algorithm.":[142],"experimental":[144],"results":[145],"recent":[148],"eye":[149],"tracking":[150],"database":[151],"show":[152],"proposed":[155],"performs":[157],"better":[158],"than":[159],"other":[160],"existing":[161],"models.":[162]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}