{"id":"https://openalex.org/W2041219183","doi":"https://doi.org/10.1109/icip.2010.5652280","title":"Visual saliency detection via rank-sparsity decomposition","display_name":"Visual saliency detection via rank-sparsity decomposition","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2041219183","doi":"https://doi.org/10.1109/icip.2010.5652280","mag":"2041219183"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5652280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5087158377","display_name":"Junchi Yan","orcid":"https://orcid.org/0000-0001-9639-7679"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junchi Yan","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414686","display_name":"Jian Liu","orcid":"https://orcid.org/0000-0002-5968-4318"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Liu","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451141","display_name":"Yin Li","orcid":"https://orcid.org/0000-0003-4173-9453"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Li","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042897510","display_name":"Zhibin Niu","orcid":"https://orcid.org/0000-0002-5171-7648"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Niu","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061110835","display_name":"Yuncai Liu","orcid":"https://orcid.org/0000-0002-4040-4478"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuncai Liu","raw_affiliation_strings":["Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China"],"affiliations":[{"raw_affiliation_string":"Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, No.800 Dong Chuan Road, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087158377"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.5497,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.90182053,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1089","last_page":"1092"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9846000075340271,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.771754264831543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7009367942810059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6969135999679565},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.634398877620697},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5892471671104431},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5864331126213074},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5736912488937378},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5636917948722839},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5616903305053711},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5060870051383972},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.47483664751052856},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.46508142352104187},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44372376799583435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23419463634490967}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.771754264831543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7009367942810059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6969135999679565},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.634398877620697},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5892471671104431},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5864331126213074},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5736912488937378},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5636917948722839},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5616903305053711},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5060870051383972},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.47483664751052856},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.46508142352104187},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44372376799583435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23419463634490967},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5652280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5652280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W3219084","https://openalex.org/W1566135517","https://openalex.org/W1736339626","https://openalex.org/W2046863527","https://openalex.org/W2091449379","https://openalex.org/W2107055466","https://openalex.org/W2112447569","https://openalex.org/W2119228922","https://openalex.org/W2128272608","https://openalex.org/W2131628350","https://openalex.org/W2136893242","https://openalex.org/W2138608979","https://openalex.org/W2139047169","https://openalex.org/W2145889472","https://openalex.org/W2145962650","https://openalex.org/W2149095485","https://openalex.org/W2244441628","https://openalex.org/W3104624268","https://openalex.org/W4240580737","https://openalex.org/W6673357430","https://openalex.org/W6676006193","https://openalex.org/W6680614221"],"related_works":["https://openalex.org/W2090093270","https://openalex.org/W137416770","https://openalex.org/W2744160734","https://openalex.org/W2534909612","https://openalex.org/W2016461833","https://openalex.org/W2059299633","https://openalex.org/W2382607599","https://openalex.org/W3197541072","https://openalex.org/W1964120219","https://openalex.org/W2105449223"],"abstract_inverted_index":{"Saliency":[0],"mechanism":[1],"has":[2],"been":[3],"considered":[4],"crucial":[5],"in":[6],"the":[7,36,62,83],"human":[8],"visual":[9,26,77],"system":[10],"and":[11,16,45,53,81,89],"helpful":[12],"to":[13,41],"object":[14],"detection":[15,79],"recognition.":[17],"This":[18],"paper":[19],"addresses":[20],"a":[21],"novel":[22],"feature-based":[23],"model":[24,60,73],"for":[25,76,92],"saliency":[27,48,78],"detection.":[28],"It":[29],"consists":[30],"of":[31,86],"two":[32],"steps:":[33],"first,":[34],"using":[35],"learned":[37],"overcomplete":[38],"sparse":[39],"bases":[40],"represent":[42],"image":[43,93],"patches;":[44],"then,":[46],"estimating":[47],"information":[49],"via":[50],"direct":[51],"low-rank":[52],"sparsity":[54],"matrix":[55,87],"decomposition.":[56],"We":[57],"compare":[58],"our":[59,72],"with":[61],"previous":[63],"methods":[64],"on":[65],"natural":[66],"images.":[67],"Experimental":[68],"results":[69],"show":[70],"that":[71],"performs":[74],"competitively":[75],"task,":[80],"suggest":[82],"potential":[84],"application":[85],"decomposition":[88],"convex":[90],"optimization":[91],"analysis.":[94]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
