{"id":"https://openalex.org/W2058984722","doi":"https://doi.org/10.1109/dicta.2013.6691528","title":"Sketch-Based Image Retrieval by Size-Adaptive and Noise-Robust Feature Description","display_name":"Sketch-Based Image Retrieval by Size-Adaptive and Noise-Robust Feature Description","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2058984722","doi":"https://doi.org/10.1109/dicta.2013.6691528","mag":"2058984722"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2013.6691528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2013.6691528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5076218326","display_name":"Houssem Chatbri","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Houssem Chatbri","raw_affiliation_strings":["Department of Computer Science, University of Tsukuba, Japan","Department of Computer Science University of Tsukuba Tsukuba Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Department of Computer Science University of Tsukuba Tsukuba Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078481609","display_name":"Keisuke Kameyama","orcid":"https://orcid.org/0000-0001-8810-8646"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Kameyama","raw_affiliation_strings":["Faculty of Engineering, University of Tsukuba, Japan","Fac. of Eng., Inf. & Syst. Univ. of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"Fac. of Eng., Inf. & Syst. Univ. of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056913502","display_name":"Paul Kwan","orcid":"https://orcid.org/0000-0002-4959-5274"},"institutions":[{"id":"https://openalex.org/I90745801","display_name":"University of New England","ror":"https://ror.org/04r659a56","country_code":"AU","type":"education","lineage":["https://openalex.org/I90745801"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Paul Kwan","raw_affiliation_strings":["School of Science and Technology, University of New England, Armidale, NSW, Australia","School of Science and Technology, University of New England Armidale, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, University of New England, Armidale, NSW, Australia","institution_ids":["https://openalex.org/I90745801"]},{"raw_affiliation_string":"School of Science and Technology, University of New England Armidale, NSW, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076218326"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":1.6591,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86372593,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","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":0.9998000264167786,"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":0.9878000020980835,"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/sketch","display_name":"Sketch","score":0.8328908681869507},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7773162126541138},{"id":"https://openalex.org/keywords/shape-context","display_name":"Shape context","score":0.5705925822257996},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5587135553359985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5472918152809143},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.513130247592926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5114928483963013},{"id":"https://openalex.org/keywords/optimal-distinctiveness-theory","display_name":"Optimal distinctiveness theory","score":0.4744457006454468},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4682793617248535},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4623609185218811},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45594510436058044},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.43771153688430786},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3978152871131897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3542103171348572},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28630489110946655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17382577061653137}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.8328908681869507},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7773162126541138},{"id":"https://openalex.org/C2779662243","wikidata":"https://www.wikidata.org/wiki/Q970395","display_name":"Shape context","level":3,"score":0.5705925822257996},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5587135553359985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5472918152809143},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.513130247592926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5114928483963013},{"id":"https://openalex.org/C47385372","wikidata":"https://www.wikidata.org/wiki/Q7098943","display_name":"Optimal distinctiveness theory","level":2,"score":0.4744457006454468},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4682793617248535},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4623609185218811},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45594510436058044},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.43771153688430786},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3978152871131897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3542103171348572},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28630489110946655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17382577061653137},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2013.6691528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2013.6691528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:rune.une.edu.au:1959.11/13853","is_oa":false,"landing_page_url":"https://hdl.handle.net/1959.11/13853","pdf_url":null,"source":{"id":"https://openalex.org/S7407055448","display_name":"RUNE (Research UNE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Publication"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W10311529","https://openalex.org/W1479841565","https://openalex.org/W1485800236","https://openalex.org/W1530418181","https://openalex.org/W1584188478","https://openalex.org/W1609652434","https://openalex.org/W1857640830","https://openalex.org/W1966241362","https://openalex.org/W1969927402","https://openalex.org/W1970434578","https://openalex.org/W2012515212","https://openalex.org/W2035852119","https://openalex.org/W2051243215","https://openalex.org/W2053058343","https://openalex.org/W2057175746","https://openalex.org/W2057771198","https://openalex.org/W2080009145","https://openalex.org/W2093191240","https://openalex.org/W2096203363","https://openalex.org/W2099017151","https://openalex.org/W2099251025","https://openalex.org/W2102475035","https://openalex.org/W2102662521","https://openalex.org/W2108556791","https://openalex.org/W2111675581","https://openalex.org/W2126434226","https://openalex.org/W2130660124","https://openalex.org/W2130932233","https://openalex.org/W2133155955","https://openalex.org/W2142364024","https://openalex.org/W2146002037","https://openalex.org/W2158806060","https://openalex.org/W2159498975","https://openalex.org/W2166257042","https://openalex.org/W2167274204","https://openalex.org/W2168714801","https://openalex.org/W2314182602","https://openalex.org/W2402636562","https://openalex.org/W2474211219","https://openalex.org/W2914885528","https://openalex.org/W4245331147","https://openalex.org/W6631967479","https://openalex.org/W6676811963","https://openalex.org/W6684450971","https://openalex.org/W6699225216","https://openalex.org/W6720907354"],"related_works":["https://openalex.org/W4225552138","https://openalex.org/W2032875729","https://openalex.org/W3046185751","https://openalex.org/W2475308993","https://openalex.org/W2790526747","https://openalex.org/W2477273251","https://openalex.org/W2069575426","https://openalex.org/W3002212064","https://openalex.org/W2185495922","https://openalex.org/W2091703043"],"abstract_inverted_index":{"We":[0],"review":[1],"available":[2],"methods":[3,79],"for":[4,31],"Sketch-Based":[5],"Image":[6],"Retrieval":[7],"(SBIR)":[8],"and":[9,35,49,74,90],"we":[10,15],"discuss":[11],"their":[12],"limitations.":[13],"Then,":[14],"present":[16],"two":[17],"SBIR":[18],"algorithms:":[19],"The":[20],"first":[21],"algorithm":[22,38],"extracts":[23],"shape":[24],"features":[25],"by":[26],"using":[27],"support":[28],"regions":[29],"calculated":[30],"each":[32],"sketch":[33,71],"point,":[34],"the":[36,40,60,64,70,82],"second":[37],"adapts":[39],"Shape":[41],"Context":[42],"descriptor":[43],"to":[44,69],"make":[45],"it":[46],"scale":[47],"invariant":[48],"enhances":[50],"its":[51],"performance":[52],"in":[53,87],"presence":[54],"of":[55,62],"noise.":[56,93],"Both":[57],"algorithms":[58,84],"share":[59],"property":[61],"calculating":[63],"feature":[65],"extraction":[66],"window":[67],"according":[68],"size.":[72],"Experiments":[73],"comparative":[75],"evaluation":[76],"with":[77],"state-of-the-art":[78],"show":[80],"that":[81],"proposed":[83],"are":[85],"competitive":[86],"distinctiveness":[88],"capability":[89],"robust":[91],"against":[92]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}