{"id":"https://openalex.org/W2059242188","doi":"https://doi.org/10.1145/2072298.2071952","title":"Bottom-up saliency based on weighted sparse coding residual","display_name":"Bottom-up saliency based on weighted sparse coding residual","publication_year":2011,"publication_date":"2011-11-28","ids":{"openalex":"https://openalex.org/W2059242188","doi":"https://doi.org/10.1145/2072298.2071952","mag":"2059242188"},"language":"en","primary_location":{"id":"doi:10.1145/2072298.2071952","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2071952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","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/A5103569682","display_name":"Biao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Biao Han","raw_affiliation_strings":["Digital Media Laboratory, Shanghai University, Shanghai, China","Digital Media Laboratory, Shanghai University, Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Digital Media Laboratory, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Digital Media Laboratory, Shanghai University, Shanghai, China#TAB#","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058268359","display_name":"Hao Zhu","orcid":"https://orcid.org/0000-0003-4411-0933"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhu","raw_affiliation_strings":["State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China","State Key Laboratory of Cognitive neuroscience and Learning, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Cognitive neuroscience and Learning, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101670265","display_name":"Youdong Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youdong Ding","raw_affiliation_strings":["Digital Media Laboratory, Shanghai University, Shanghai, China","Digital Media Laboratory, Shanghai University, Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Digital Media Laboratory, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"Digital Media Laboratory, Shanghai University, Shanghai, China#TAB#","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103569682"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":3.3485,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.9364638,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1117","last_page":"1120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9940999746322632,"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":0.9628000259399414,"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/residual","display_name":"Residual","score":0.8475373983383179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682952344417572},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6805281043052673},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6448434591293335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5790421962738037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4864060878753662},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4302380681037903},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.42867574095726013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25475606322288513},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08013957738876343}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8475373983383179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682952344417572},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6805281043052673},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6448434591293335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5790421962738037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4864060878753662},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4302380681037903},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.42867574095726013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25475606322288513},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08013957738876343},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2072298.2071952","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2072298.2071952","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1497599070","https://openalex.org/W1510835000","https://openalex.org/W2004928594","https://openalex.org/W2055158687","https://openalex.org/W2063978378","https://openalex.org/W2107363596","https://openalex.org/W2112447569","https://openalex.org/W2114147096","https://openalex.org/W2117301471","https://openalex.org/W2128272608","https://openalex.org/W2135046866","https://openalex.org/W2135957164","https://openalex.org/W2139047169","https://openalex.org/W2145889472","https://openalex.org/W2146103513","https://openalex.org/W2149095485","https://openalex.org/W2166554908","https://openalex.org/W2715880412","https://openalex.org/W2990138404","https://openalex.org/W4296579638","https://openalex.org/W4298285000","https://openalex.org/W6664127744","https://openalex.org/W6680437723","https://openalex.org/W6680614221","https://openalex.org/W6682366126"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2498789492","https://openalex.org/W2521347458","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W2768526084","https://openalex.org/W2065031478"],"abstract_inverted_index":{"The":[0,69,98],"guidance":[1],"of":[2,44,87,100],"attention":[3],"helps":[4],"the":[5,33,42,50,57,61,67,73,84,91,101,127],"human":[6],"vision":[7,46],"system":[8],"(HVS)":[9],"to":[10,56,66],"detect":[11],"and":[12,39,47,90,114,126,132],"recognize":[13],"objects":[14],"rapidly.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19],"propose":[20],"a":[21,93,130],"bottom-up":[22],"saliency":[23,94],"algorithm":[24,71,121],"based":[25],"on":[26],"sparse":[27,77,88],"coding":[28,31,51,78],"theory.":[29],"Sparse":[30],"decomposes":[32],"inputs":[34],"into":[35],"two":[36,110],"parts,":[37],"codes":[38,89],"residual.":[40],"From":[41],"viewpoint":[43],"biological":[45],"information":[48],"theory,":[49],"length":[52,79],"is":[53,63,96,104,115],"closely":[54,64],"related":[55,65],"local":[58],"complexity":[59],"while":[60],"residual":[62,75],"uncertainty.":[68],"proposed":[70,102],"defines":[72],"weighted":[74],"using":[76,106],"as":[80],"saliency.":[81,134],"By":[82],"multiplying":[83],"L0":[85],"norm":[86],"residual,":[92],"map":[95],"obtained.":[97],"performance":[99],"method":[103],"evaluated":[105],"ROC":[107],"curves":[108],"with":[109,117],"different":[111],"scale":[112],"datasets":[113],"compared":[116],"state-of-the-art":[118],"models.":[119],"Our":[120],"outperforms":[122],"all":[123],"other":[124],"methods":[125],"results":[128],"indicate":[129],"robust":[131],"accurate":[133]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}