{"id":"https://openalex.org/W2883756456","doi":"https://doi.org/10.1109/lsp.2018.2857401","title":"Unsupervised Saliency Detection in 3-D-Video Based on Multiscale Segmentation and Refinement","display_name":"Unsupervised Saliency Detection in 3-D-Video Based on Multiscale Segmentation and Refinement","publication_year":2018,"publication_date":"2018-07-18","ids":{"openalex":"https://openalex.org/W2883756456","doi":"https://doi.org/10.1109/lsp.2018.2857401","mag":"2883756456"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2018.2857401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2857401","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-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/A5100697884","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0002-8330-2164"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035203850","display_name":"Pengyu Yan","orcid":"https://orcid.org/0000-0003-1584-2350"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Yan","raw_affiliation_strings":["School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026243783","display_name":"Jiang Wu","orcid":"https://orcid.org/0000-0002-6548-9551"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Wu","raw_affiliation_strings":["School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397302","display_name":"Jingwen Liu","orcid":"https://orcid.org/0000-0003-3841-5642"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Liu","raw_affiliation_strings":["School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101096674","display_name":"Fengcan Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengcan Shen","raw_affiliation_strings":["School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100697884"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.5223,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70614019,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"25","issue":"9","first_page":"1384","last_page":"1388"},"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":0.9898999929428101,"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":0.9830999970436096,"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":0.7957258224487305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7559874057769775},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7311093807220459},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.602330207824707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6002655029296875},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5543286204338074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5444005131721497},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4920727610588074},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4345850348472595},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4210977256298065}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7957258224487305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559874057769775},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7311093807220459},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.602330207824707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6002655029296875},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5543286204338074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5444005131721497},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4920727610588074},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4345850348472595},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4210977256298065},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2018.2857401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2018.2857401","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5030471140","display_name":null,"funder_award_id":"61308102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W20683899","https://openalex.org/W1498386302","https://openalex.org/W1578985305","https://openalex.org/W1605517717","https://openalex.org/W1894057436","https://openalex.org/W1903001680","https://openalex.org/W1932188298","https://openalex.org/W1942214758","https://openalex.org/W1954128991","https://openalex.org/W1982075130","https://openalex.org/W1993713494","https://openalex.org/W1997137149","https://openalex.org/W2007817642","https://openalex.org/W2037954058","https://openalex.org/W2039313011","https://openalex.org/W2052635379","https://openalex.org/W2055611119","https://openalex.org/W2064365034","https://openalex.org/W2065848302","https://openalex.org/W2089590115","https://openalex.org/W2096621047","https://openalex.org/W2100470808","https://openalex.org/W2108598243","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2138608979","https://openalex.org/W2163605009","https://openalex.org/W2164716063","https://openalex.org/W2501148868","https://openalex.org/W2519528544","https://openalex.org/W2542598601","https://openalex.org/W2618530766","https://openalex.org/W2620958690","https://openalex.org/W2757028014","https://openalex.org/W2800632947","https://openalex.org/W4239147634","https://openalex.org/W6600857173","https://openalex.org/W6636339466","https://openalex.org/W6639359414","https://openalex.org/W6648922525","https://openalex.org/W6667268662","https://openalex.org/W6726799623","https://openalex.org/W6750863005"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1989941125","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W2149980199","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W3125766170","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"we":[3],"propose":[4],"an":[5],"unsupervised":[6],"salient":[7],"object":[8],"detection":[9],"method":[10,144],"in":[11,77,102,131,148],"three-dimensional":[12],"videos.":[13],"Both":[14],"temporal":[15],"and":[16,22,25,33,49,91,118,153],"depth":[17,50],"information":[18,51],"are":[19,28],"efficiently":[20],"considered,":[21],"multiscale":[23,56],"architecture":[24,57],"graph-based":[26],"refinement":[27],"built":[29,111],"to":[30],"improve":[31],"accuracy":[32],"robustness.":[34],"First,":[35],"the":[36,53,62,69,99,121],"input":[37],"video":[38],"frame":[39],"is":[40,58,80,86,105,123],"segmented":[41,75],"into":[42],"nonoverlapping":[43],"superpixels":[44],"by":[45,88,107,112,125],"combining":[46],"both":[47],"appearance":[48],"at":[52],"input.":[54],"A":[55],"also":[59],"deployed":[60],"after":[61],"segmentation":[63,66],"with":[64],"different":[65],"parameters.":[67],"Second,":[68],"initial":[70,100],"saliency":[71,101,129],"score":[72],"of":[73,150],"each":[74,78,103],"superpixel":[76],"scale":[79,104],"calculated":[81],"via":[82],"global":[83],"contrast,":[84],"which":[85],"defined":[87],"appearance,":[89],"depth,":[90,117],"motion":[92],"cues":[93],"from":[94],"two":[95,137],"consecutive":[96],"frames.":[97],"Third,":[98],"refined":[106,128],"smoothing":[108],"over":[109],"graphs":[110],"three":[113,127,132],"spatial\u2013temporal":[114],"feature":[115],"priors\u2014color,":[116],"motion.":[119],"Finally,":[120],"result":[122],"obtained":[124],"fusing":[126],"maps":[130],"scales.":[133],"The":[134],"experiments":[135],"on":[136],"widely":[138],"used":[139],"datasets":[140],"illustrate":[141],"that":[142],"our":[143],"outperforms":[145],"state-of-the-art":[146],"algorithms":[147],"terms":[149],"accuracy,":[151],"robustness,":[152],"reliability.":[154]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}