{"id":"https://openalex.org/W2123590821","doi":"https://doi.org/10.1109/icip.2013.6738632","title":"Probabilistic salient object contour detection based on superpixels","display_name":"Probabilistic salient object contour detection based on superpixels","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2123590821","doi":"https://doi.org/10.1109/icip.2013.6738632","mag":"2123590821"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738632","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/A5103861361","display_name":"Huaizu Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaizu Jiang","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China","Xi'an Jiaotong University; Xian China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University; Xian China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741279","display_name":"Yang Wu","orcid":"https://orcid.org/0000-0001-8010-6857"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yang Wu","raw_affiliation_strings":["Kyoto University, Kyoto, Japan","Kyoto University, Kyoto, Japan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]},{"raw_affiliation_string":"Kyoto University, Kyoto, Japan#TAB#","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005376529","display_name":"Zejian Yuan","orcid":"https://orcid.org/0000-0001-5548-3634"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zejian Yuan","raw_affiliation_strings":["Xi'an Jiaotong University, Xi'an, China","Xi'an Jiaotong University; Xian China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University; Xian China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3069","last_page":"3072"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9886999726295471,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9778000116348267,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.8077583312988281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7763993740081787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6634196043014526},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6488245129585266},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.639641284942627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6364449262619019},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6136192083358765},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6105155944824219},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5845630168914795},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5530532002449036},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4665394127368927},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.46090778708457947},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.42808395624160767},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4217853248119354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30490991473197937},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2757444679737091},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22294223308563232},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06587696075439453}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8077583312988281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7763993740081787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6634196043014526},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6488245129585266},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.639641284942627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6364449262619019},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6136192083358765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6105155944824219},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5845630168914795},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5530532002449036},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4665394127368927},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.46090778708457947},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.42808395624160767},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4217853248119354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30490991473197937},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2757444679737091},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22294223308563232},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06587696075439453},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2013.6738632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738632","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.8112","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.8112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://jianghz.com/pubs/sobj_contour_icip2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1483240902","https://openalex.org/W1484228140","https://openalex.org/W1986413821","https://openalex.org/W1996326832","https://openalex.org/W1999478155","https://openalex.org/W2097878628","https://openalex.org/W2110158442","https://openalex.org/W2117193984","https://openalex.org/W2118246710","https://openalex.org/W2157554677","https://openalex.org/W6628879895"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2369710579","https://openalex.org/W4327728159","https://openalex.org/W4394266730","https://openalex.org/W1990856605","https://openalex.org/W2387003628","https://openalex.org/W2053783616","https://openalex.org/W2545348020"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,65],"propose":[4],"a":[5],"data-driven":[6],"approach":[7],"to":[8],"detect":[9],"the":[10,20,27,32,42,54,59,68,78],"probabilistic":[11,70],"salient":[12,71,82],"object":[13,28,72,83],"contour,":[14],"which":[15],"is":[16,38,74],"formulated":[17],"as":[18],"predicting":[19],"probability":[21],"of":[22,61],"superpixel":[23,36,43,45],"boundaries":[24],"being":[25],"on":[26,31,53],"contour":[29,73],"based":[30],"learned":[33],"regressor.":[34],"Each":[35],"boundary":[37,48],"jointly":[39],"described":[40],"by":[41],"saliency,":[44],"contrast,":[46],"and":[47],"geometry":[49],"features.":[50],"Experimental":[51],"results":[52],"benchmark":[55],"data":[56],"set":[57],"validate":[58],"effectiveness":[60],"our":[62],"approach.":[63],"Furthermore,":[64],"demonstrate":[66],"that":[67],"predicted":[69],"useful":[75],"for":[76,81],"improving":[77],"multiple":[79],"segmentations":[80],"detection.":[84]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
