{"id":"https://openalex.org/W2733129047","doi":"https://doi.org/10.1109/siu.2017.7960546","title":"Retail product recognition with a graphical shelf model","display_name":"Retail product recognition with a graphical shelf model","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2733129047","doi":"https://doi.org/10.1109/siu.2017.7960546","mag":"2733129047"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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/A5024671338","display_name":"\u0130pek Baz","orcid":"https://orcid.org/0000-0001-9837-637X"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ipek Baz","raw_affiliation_strings":["M\u00fchendislik ve Do\u011fa Bilimleri Fak\u00fcltesi, Sabanc\u0131 \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"M\u00fchendislik ve Do\u011fa Bilimleri Fak\u00fcltesi, Sabanc\u0131 \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080592381","display_name":"Erdem Y\u00f6r\u00fck","orcid":"https://orcid.org/0000-0002-4882-0812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erdem Yoruk","raw_affiliation_strings":["Vispera Bilgi Teknolojileri, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Vispera Bilgi Teknolojileri, \u0130stanbul, T\u00fcrkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017228370","display_name":"M\u00fcjdat \u00c7etin","orcid":"https://orcid.org/0000-0002-9824-1229"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mujdat Cetin","raw_affiliation_strings":["M\u00fchendislik ve Do\u011fa Bilimleri Fak\u00fcltesi, Sabanc\u0131 \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"M\u00fchendislik ve Do\u011fa Bilimleri Fak\u00fcltesi, Sabanc\u0131 \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I134235054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024671338"],"corresponding_institution_ids":["https://openalex.org/I134235054"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.44700737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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":0.9962999820709229,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.7276453971862793},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6740454435348511},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6444753408432007},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.600433886051178},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5564221739768982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5279663801193237},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5180335640907288},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4938846230506897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44637545943260193},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4366300106048584},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4259200096130371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42485469579696655},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.41872638463974},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.25600117444992065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18583258986473083},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10053330659866333},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08306711912155151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276453971862793},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6740454435348511},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6444753408432007},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.600433886051178},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5564221739768982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5279663801193237},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5180335640907288},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4938846230506897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44637545943260193},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4366300106048584},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4259200096130371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42485469579696655},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.41872638463974},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25600117444992065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18583258986473083},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10053330659866333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08306711912155151},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","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":13,"referenced_works":["https://openalex.org/W16066671","https://openalex.org/W1993309459","https://openalex.org/W1994213117","https://openalex.org/W2000496950","https://openalex.org/W2066941820","https://openalex.org/W2067869060","https://openalex.org/W2105594594","https://openalex.org/W2127095579","https://openalex.org/W2153635508","https://openalex.org/W2203189730","https://openalex.org/W2241532973","https://openalex.org/W2504485264","https://openalex.org/W3120421331"],"related_works":["https://openalex.org/W2364370872","https://openalex.org/W2097963413","https://openalex.org/W2025614924","https://openalex.org/W2294335174","https://openalex.org/W3145575561","https://openalex.org/W2995886640","https://openalex.org/W1591475660","https://openalex.org/W2001275470","https://openalex.org/W2611163850","https://openalex.org/W2164162849"],"abstract_inverted_index":{"Recently,":[0],"retail":[1,158],"product":[2,26,118,165],"recognition":[3],"has":[4,72],"become":[5],"an":[6],"interesting":[7],"computer":[8],"vision":[9],"research":[10],"topic.":[11],"The":[12,64,121,146],"classification":[13,22,111],"of":[14,33,66,89,116,128,149,163],"products":[15,45,68,91,98],"on":[16,69,142],"shelves":[17,71,159],"is":[18,152],"a":[19,73,108,137],"very":[20],"challenging":[21],"problem":[23,115],"because":[24],"many":[25],"classes":[27],"are":[28,46],"visually":[29],"similar":[30,44],"in":[31,57,77,157],"terms":[32],"shape,":[34],"color,":[35],"texture,":[36],"and":[37,55,79,92],"metric":[38,80],"size.":[39,81],"In":[40,103],"shelves,":[41],"same":[42],"or":[43],"more":[47],"likely":[48],"to":[49,52,153,160],"appear":[50],"adjacent":[51],"each":[53],"other":[54],"displayed":[56],"certain":[58],"arrangements":[59],"rather":[60],"than":[61],"at":[62],"random.":[63],"arrangement":[65],"the":[67,70,87,90,93,97,114,126,129,164],"spatial":[74],"continuity":[75],"both":[76],"brand":[78],"By":[82],"using":[83],"this":[84,104,150],"context":[85],"information,":[86],"co-occurrence":[88],"adjacency":[94],"relations":[95],"between":[96],"can":[99],"be":[100],"statistically":[101],"modeled.":[102],"work,":[105],"we":[106],"present":[107],"context-aware":[109],"hybrid":[110,123],"system":[112],"for":[113],"fine-grained":[117],"class":[119],"recognition.":[120],"proposed":[122],"approach":[124],"improves":[125],"accuracy":[127,162],"context-free":[130],"image":[131],"classifiers,":[132],"by":[133],"combining":[134],"them":[135],"with":[136],"probabilistic":[138],"graphical":[139],"model":[140],"based":[141],"Hidden":[143],"Markov":[144],"Models.":[145],"fundamental":[147],"goal":[148],"paper":[151],"use":[154],"contextual":[155],"relationships":[156],"improve":[161],"classifier.":[166]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}