{"id":"https://openalex.org/W2170393541","doi":"https://doi.org/10.1109/cit.2008.4594783","title":"Combining hierarchical segmentation and shape context based recognition","display_name":"Combining hierarchical segmentation and shape context based recognition","publication_year":2008,"publication_date":"2008-07-01","ids":{"openalex":"https://openalex.org/W2170393541","doi":"https://doi.org/10.1109/cit.2008.4594783","mag":"2170393541"},"language":"en","primary_location":{"id":"doi:10.1109/cit.2008.4594783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2008.4594783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 8th IEEE International Conference on Computer and Information Technology","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/A5103192195","display_name":"Fenglei Yang","orcid":"https://orcid.org/0000-0003-2168-415X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Fenglei Yang","raw_affiliation_strings":["Department of Computer Science, East China Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, East China Jiao Tong University, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031868292","display_name":"Yue Lu","orcid":"https://orcid.org/0000-0003-4062-6553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Lu","raw_affiliation_strings":["Department of Computer Science, East China Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, East China Jiao Tong University, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031322114","display_name":"Ye Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Duan","raw_affiliation_strings":["Department of Computer Science, University of Missouri, Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103192195"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3512,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.68342146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"839","last_page":"844"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994999766349792,"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8196531534194946},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7581855058670044},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.684952974319458},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6742656230926514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6683164834976196},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.6587479114532471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6375921964645386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5552592873573303},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.506939709186554},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.505455493927002},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.49193310737609863},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4802875220775604},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4754202961921692},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.47213631868362427},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09392523765563965},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08397269248962402},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.04951077699661255}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8196531534194946},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7581855058670044},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.684952974319458},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6742656230926514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6683164834976196},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.6587479114532471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6375921964645386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5552592873573303},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.506939709186554},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.505455493927002},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.49193310737609863},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4802875220775604},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4754202961921692},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.47213631868362427},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09392523765563965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08397269248962402},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.04951077699661255},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cit.2008.4594783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cit.2008.4594783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 8th IEEE International Conference on Computer and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1480968628","https://openalex.org/W1999478155","https://openalex.org/W2057175746","https://openalex.org/W2068179746","https://openalex.org/W2097323414","https://openalex.org/W2111933145","https://openalex.org/W2112074894","https://openalex.org/W2117235680","https://openalex.org/W2121947440","https://openalex.org/W2122827492","https://openalex.org/W2130118085","https://openalex.org/W2132603077","https://openalex.org/W2149753607","https://openalex.org/W2150064284","https://openalex.org/W2154415228","https://openalex.org/W2156449001","https://openalex.org/W2159372453","https://openalex.org/W2162253476","https://openalex.org/W2166777865","https://openalex.org/W6681944724"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W4205800335","https://openalex.org/W2371519352","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2551987074"],"abstract_inverted_index":{"In":[0,46],"this":[1],"paper,":[2],"we":[3],"integrate":[4],"image":[5,39],"segmentation":[6,85],"and":[7,36,64,68,86],"object":[8,43],"recognition":[9,35],"into":[10],"one":[11],"unified":[12],"process.":[13,73],"The":[14],"process":[15],"starts":[16],"from":[17],"a":[18],"seed":[19,62],"region":[20,63],"produced":[21],"by":[22,80],"the":[23,48,58,61,65,70,77,81],"initial":[24],"segmentation.":[25],"Then":[26],"it":[27],"is":[28,44,54],"evolved":[29],"through":[30],"alternating":[31],"shape":[32,88],"context":[33],"based":[34,90],"smaller":[37],"scale":[38],"segmentation,":[40],"until":[41],"an":[42],"found.":[45],"recognition,":[47],"thin":[49],"plate":[50],"spline":[51],"(TPS)":[52],"transformation":[53],"employed":[55],"to":[56],"locate":[57],"difference":[59],"between":[60],"defined":[66],"model,":[67],"guide":[69],"subsequent":[71],"evolution":[72],"Experimental":[74],"results":[75],"demonstrate":[76],"advantages":[78],"achieved":[79],"combination":[82],"of":[83],"hierarchical":[84],"multi-scale":[87],"contexts":[89],"recognition.":[91]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
