{"id":"https://openalex.org/W1977295039","doi":"https://doi.org/10.1109/icip.2010.5649841","title":"Visual attention based small object segmentation in natual images","display_name":"Visual attention based small object segmentation in natual images","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1977295039","doi":"https://doi.org/10.1109/icip.2010.5649841","mag":"1977295039"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5649841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5649841","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":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1270897","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009598331","display_name":"Wen Guo","orcid":"https://orcid.org/0000-0002-3691-4942"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I83776822","display_name":"Shandong Institute of Business and Technology","ror":"https://ror.org/03rrkrc24","country_code":"CN","type":"education","lineage":["https://openalex.org/I83776822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Guo","raw_affiliation_strings":["Department of Electric Engineering, Shandong Institute of Business and Technology, Yantai, China","Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electric Engineering, Shandong Institute of Business and Technology, Yantai, China","institution_ids":["https://openalex.org/I83776822"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024354406","display_name":"Changshen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changshen Xu","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101125070","display_name":"Songde Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songde Ma","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413849","display_name":"Min Xu","orcid":"https://orcid.org/0000-0001-9581-8849"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["Faculty of Engineering and Information Technology, Sydney University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, Sydney University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009598331"],"corresponding_institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I83776822"],"apc_list":null,"apc_paid":null,"fwci":2.586,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89995295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":null,"first_page":"1565","last_page":"1568"},"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":0.9987999796867371,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9919999837875366,"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":0.8538213968276978},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7809345722198486},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.754792332649231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487968802452087},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.747767984867096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7378531098365784},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6636815071105957},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6564410924911499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5778887867927551},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.48454442620277405},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4757932424545288}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8538213968276978},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7809345722198486},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.754792332649231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487968802452087},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.747767984867096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7378531098365784},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6636815071105957},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6564410924911499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5778887867927551},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.48454442620277405},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4757932424545288},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2010.5649841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5649841","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"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/16300","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/16300","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},{"id":"pmh:oai:zenodo.org:1270897","is_oa":true,"landing_page_url":"https://zenodo.org/record/1270897","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1270897","is_oa":true,"landing_page_url":"https://zenodo.org/record/1270897","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W127468922","https://openalex.org/W247104752","https://openalex.org/W1770420845","https://openalex.org/W1965301399","https://openalex.org/W2024808885","https://openalex.org/W2067191022","https://openalex.org/W2116044718","https://openalex.org/W2117301471","https://openalex.org/W2118490033","https://openalex.org/W2120093678","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2165810558","https://openalex.org/W2171275382","https://openalex.org/W2546160422","https://openalex.org/W6680437723","https://openalex.org/W6734753989"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W1999008862","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074"],"abstract_inverted_index":{"Small":[0],"object":[1,79,88,101,125],"segmentation":[2,22,102,108,126,141],"is":[3,47,73,93,122],"a":[4,18],"challenging":[5],"task":[6],"in":[7,31,127],"image":[8],"processing":[9],"and":[10,51,110],"computer":[11],"vision.":[12],"In":[13],"this":[14],"paper":[15],"we":[16],"propose":[17],"visual":[19,44,66,84],"attention":[20,45,67,85],"based":[21,140],"approach":[23,92,121],"to":[24,54,75,95,105],"segment":[25],"interesting":[26,59],"objects":[27],"with":[28],"small":[29,132],"size":[30],"natural":[32,128],"images.":[33],"Different":[34],"from":[35],"traditional":[36,138],"methods":[37],"which":[38],"use":[39],"the":[40,56,62,78,90,97,107,112,119],"single":[41],"feature":[42],"vectors,":[43],"analysis":[46,86],"used":[48],"on":[49],"local":[50],"global":[52],"features":[53],"extract":[55],"region":[57,63,99],"of":[58,83],"objects.":[60,133],"Within":[61],"selected":[64],"by":[65],"analysis,":[68],"Gaussian":[69],"Mixture":[70],"Model":[71],"(GMM)":[72],"applied":[74],"further":[76],"locate":[77],"region.":[80],"By":[81],"incorporation":[82],"into":[87],"segmentation,":[89],"proposed":[91,120,135],"able":[94],"narrow":[96],"searching":[98],"for":[100,124,131],"so":[103],"as":[104],"increase":[106],"accuracy":[109],"reduce":[111],"computational":[113],"complex.":[114],"Experimental":[115],"results":[116],"demonstrate":[117],"that":[118],"efficient":[123],"images,":[129],"especially":[130],"The":[134],"method":[136],"outperforms":[137],"GMM":[139],"significantly.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}