{"id":"https://openalex.org/W2082173281","doi":"https://doi.org/10.1109/icip.2013.6738509","title":"Salient region detection via texture-suppressed background contrast","display_name":"Salient region detection via texture-suppressed background contrast","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2082173281","doi":"https://doi.org/10.1109/icip.2013.6738509","mag":"2082173281"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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/A5085406550","display_name":"Jiamei Shuai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamei Shuai","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, 100049, China","University of Chinese Academy of Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010557705","display_name":"Laiyun Qing","orcid":"https://orcid.org/0000-0001-9923-5034"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Laiyun Qing","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, 100049, China","University of Chinese Academy of Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100786227","display_name":"Jun Miao","orcid":"https://orcid.org/0000-0003-0344-7871"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Miao","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101910298","display_name":"Zhiguo Ma","orcid":"https://orcid.org/0000-0002-4752-8246"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Ma","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083420537","display_name":"Xilin Chen","orcid":"https://orcid.org/0000-0003-3024-4404"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilin Chen","raw_affiliation_strings":["Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0787,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.90666235,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2470","last_page":"2474"},"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9897000193595886,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9825999736785889,"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":0.8195823431015015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6583595871925354},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6380570530891418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.633293092250824},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6284169554710388},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6247512698173523},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5687267184257507},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5327029228210449},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.524688184261322},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.512941300868988},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4996190071105957},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.481557160615921},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.44280874729156494},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4022221863269806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33362534642219543},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12991002202033997}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8195823431015015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6583595871925354},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6380570530891418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.633293092250824},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6284169554710388},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6247512698173523},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5687267184257507},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5327029228210449},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.524688184261322},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.512941300868988},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4996190071105957},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.481557160615921},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44280874729156494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4022221863269806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33362534642219543},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12991002202033997},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","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":22,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1965301399","https://openalex.org/W1981228217","https://openalex.org/W1982075130","https://openalex.org/W1999908130","https://openalex.org/W2002574940","https://openalex.org/W2037954058","https://openalex.org/W2078718577","https://openalex.org/W2090463878","https://openalex.org/W2100470808","https://openalex.org/W2116724443","https://openalex.org/W2118246710","https://openalex.org/W2128272608","https://openalex.org/W2128715914","https://openalex.org/W2130637418","https://openalex.org/W2146103513","https://openalex.org/W2157381954","https://openalex.org/W2546160422","https://openalex.org/W6600850345","https://openalex.org/W6651042577","https://openalex.org/W6673019796","https://openalex.org/W6679384166"],"related_works":["https://openalex.org/W4360784979","https://openalex.org/W3017192027","https://openalex.org/W2204605857","https://openalex.org/W2044270176","https://openalex.org/W1996489018","https://openalex.org/W2120981610","https://openalex.org/W2007664797","https://openalex.org/W3129669851","https://openalex.org/W2374828682","https://openalex.org/W2360759360"],"abstract_inverted_index":{"We":[0,12],"propose":[1],"a":[2,14,56,97,109],"novel":[3],"salient":[4],"region":[5],"detection":[6],"algorithm":[7,17],"by":[8,45],"texture-suppressed":[9,37],"background":[10,54,67,94],"contrast.":[11],"employ":[13],"structure":[15],"extraction":[16],"to":[18,27,91,107],"suppress":[19],"the":[20,36,46,49,53,60,66,71,83,92,117,121],"small":[21],"scale":[22],"textures":[23],"which":[24],"are":[25],"supposed":[26],"be":[28],"not":[29],"sensitive":[30],"for":[31],"human":[32],"vision":[33],"system.":[34],"Then":[35],"image":[38,72],"is":[39,79,105],"segmented":[40],"into":[41],"homogeneous":[42],"superpixels.":[43,95],"Motivated":[44],"observation":[47],"that":[48,116],"spatial":[50,101],"distribution":[51],"of":[52,62,76,85],"has":[55],"high":[57],"probability":[58],"on":[59],"boundaries":[61],"images,":[63],"we":[64],"estimate":[65],"as":[68,82],"superpixels":[69],"near":[70],"boundaries.":[73],"The":[74],"saliency":[75,111],"each":[77],"superpixel":[78],"then":[80],"defined":[81],"summation":[84],"its":[86],"k":[87],"minimum":[88],"color":[89,103],"distances":[90],"estimated":[93],"Finally":[96],"post-processing":[98],"process":[99],"involving":[100],"and":[102],"adjacency":[104],"employed":[106],"generate":[108],"per-pixel":[110],"map.":[112],"Experimental":[113],"results":[114],"demonstrate":[115],"proposed":[118],"method":[119],"outperforms":[120],"state-of-the-art":[122],"approaches.":[123]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}