{"id":"https://openalex.org/W2514453564","doi":"https://doi.org/10.1109/icme.2016.7552907","title":"Salient object detection for RGB-D image via saliency evolution","display_name":"Salient object detection for RGB-D image via saliency evolution","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2514453564","doi":"https://doi.org/10.1109/icme.2016.7552907","mag":"2514453564"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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/A5100555539","display_name":"Jingfan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingfan Guo","raw_affiliation_strings":["Software Institute, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Software Institute, Nanjing University, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084591510","display_name":"Tongwei Ren","orcid":"https://orcid.org/0000-0003-3092-424X"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongwei Ren","raw_affiliation_strings":["Software Institute, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Software Institute, Nanjing University, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100554094","display_name":"Jia Bei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Bei","raw_affiliation_strings":["Software Institute, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Software Institute, Nanjing University, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100555539"],"corresponding_institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":6.5132,"has_fulltext":false,"cited_by_count":145,"citation_normalized_percentile":{"value":0.97940826,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9868000149726868,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8008266687393188},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.788928747177124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7337302565574646},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7117761373519897},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6862834095954895},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6654899716377258},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6081553101539612},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4978766441345215},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48945438861846924},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4890354573726654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47220736742019653},{"id":"https://openalex.org/keywords/kadir\u2013brady-saliency-detector","display_name":"Kadir\u2013Brady saliency detector","score":0.4608478248119354},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.45834845304489136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4426560401916504},{"id":"https://openalex.org/keywords/saliency-map","display_name":"Saliency map","score":0.32641276717185974}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8008266687393188},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.788928747177124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7337302565574646},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7117761373519897},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6862834095954895},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6654899716377258},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6081553101539612},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4978766441345215},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48945438861846924},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4890354573726654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47220736742019653},{"id":"https://openalex.org/C202227193","wikidata":"https://www.wikidata.org/wiki/Q6345568","display_name":"Kadir\u2013Brady saliency detector","level":4,"score":0.4608478248119354},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.45834845304489136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4426560401916504},{"id":"https://openalex.org/C2779679900","wikidata":"https://www.wikidata.org/wiki/Q25304431","display_name":"Saliency map","level":3,"score":0.32641276717185974},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2016.7552907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W21025885","https://openalex.org/W933200379","https://openalex.org/W1497443722","https://openalex.org/W1772076007","https://openalex.org/W1897243830","https://openalex.org/W1903001680","https://openalex.org/W1993713494","https://openalex.org/W1994922096","https://openalex.org/W2014930414","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2047670868","https://openalex.org/W2068288374","https://openalex.org/W2100470808","https://openalex.org/W2111749241","https://openalex.org/W2118246710","https://openalex.org/W2118615399","https://openalex.org/W2126532873","https://openalex.org/W2156148204","https://openalex.org/W2158379970","https://openalex.org/W2166650627","https://openalex.org/W3104979525","https://openalex.org/W3170406251","https://openalex.org/W4239147634","https://openalex.org/W6629803754","https://openalex.org/W6639624585","https://openalex.org/W6648922525","https://openalex.org/W6679089609","https://openalex.org/W6835204325"],"related_works":["https://openalex.org/W3037515428","https://openalex.org/W2725337569","https://openalex.org/W1967391339","https://openalex.org/W2351778949","https://openalex.org/W3009179364","https://openalex.org/W1510463930","https://openalex.org/W2381059340","https://openalex.org/W2286516139","https://openalex.org/W2145475630","https://openalex.org/W2082401147"],"abstract_inverted_index":{"Salient":[0],"object":[1,32],"detection":[2,33,101],"aims":[3],"to":[4,74,88],"detect":[5],"the":[6,68,93,99,118,126],"most":[7],"attractive":[8],"objects":[9],"in":[10],"images,":[11],"which":[12],"has":[13],"been":[14],"widely":[15],"used":[16],"as":[17],"a":[18,29,56],"fundamental":[19],"of":[20,55],"various":[21],"multimedia":[22],"applications.":[23],"In":[24],"this":[25],"paper,":[26],"we":[27,43,66,84],"propose":[28],"novel":[30],"salient":[31,105],"method":[34,109,124],"for":[35],"RGB-D":[36,58,115],"images":[37],"based":[38,60],"on":[39,49,61,92,112],"evolution":[40],"strategy.":[41],"Firstly,":[42],"independently":[44],"generate":[45,98],"two":[46,69,113],"saliency":[47,70,78,91,95],"maps":[48,71],"color":[50],"channel":[51,54],"and":[52,97,117],"depth":[53],"given":[57],"image":[59],"its":[62],"super-pixels":[63],"representation.":[64],"Then,":[65],"fuse":[67],"with":[72,80,103],"refinement":[73],"provide":[75],"an":[76],"initial":[77,94],"map":[79,96],"high":[81],"precision.":[82],"Finally,":[83],"utilize":[85],"cellular":[86],"automata":[87],"iteratively":[89],"propagate":[90],"final":[100],"result":[102],"complete":[104],"objects.":[106],"The":[107],"proposed":[108],"is":[110],"evaluated":[111],"public":[114],"datasets,":[116],"experimental":[119],"results":[120],"show":[121],"that":[122],"our":[123],"outperforms":[125],"state-of-the-art":[127],"methods.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":32},{"year":2020,"cited_by_count":34},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}