{"id":"https://openalex.org/W2048148008","doi":"https://doi.org/10.1109/icdar.2007.4377055","title":"A Method for Image Local-Difference Visualization","display_name":"A Method for Image Local-Difference Visualization","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2048148008","doi":"https://doi.org/10.1109/icdar.2007.4377055","mag":"2048148008"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2007.4377055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4377055","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","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/A5030303318","display_name":"\u00c9tienne Baudrier","orcid":"https://orcid.org/0000-0002-2038-9434"},"institutions":[{"id":"https://openalex.org/I4210155549","display_name":"Laboratoire de Math\u00e9matiques","ror":"https://ror.org/05sd5r855","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I198244214","https://openalex.org/I4210141950","https://openalex.org/I4210155549"]},{"id":"https://openalex.org/I78744979","display_name":"La Rochelle Universit\u00e9","ror":"https://ror.org/04mv1z119","country_code":"FR","type":"education","lineage":["https://openalex.org/I78744979"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"E. Baudrier","raw_affiliation_strings":["Laboratoire de Math\u00e9matiques et Applications, Universit\u00e9 de La Rochelle, La Rochelle, France","Univ. de La Rochelle, La Rochelle"],"affiliations":[{"raw_affiliation_string":"Laboratoire de Math\u00e9matiques et Applications, Universit\u00e9 de La Rochelle, La Rochelle, France","institution_ids":["https://openalex.org/I78744979","https://openalex.org/I4210155549"]},{"raw_affiliation_string":"Univ. de La Rochelle, La Rochelle","institution_ids":["https://openalex.org/I78744979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023461811","display_name":"A. Riffaud","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108471","display_name":"Le Mans Universit\u00e9","ror":"https://ror.org/01mtcc283","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210108471"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Riffaud","raw_affiliation_strings":["UFR Lettres, Universit\u00e9 du Maine, Le Mans, France","UFR Lettres, Universit\u00e9 du Maine, Le Mans, France#TAB#"],"affiliations":[{"raw_affiliation_string":"UFR Lettres, Universit\u00e9 du Maine, Le Mans, France","institution_ids":["https://openalex.org/I4210108471"]},{"raw_affiliation_string":"UFR Lettres, Universit\u00e9 du Maine, Le Mans, France#TAB#","institution_ids":["https://openalex.org/I4210108471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030303318"],"corresponding_institution_ids":["https://openalex.org/I4210155549","https://openalex.org/I78744979"],"apc_list":null,"apc_paid":null,"fwci":1.3488,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7484058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"949","last_page":"953"},"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":0.9991000294685364,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9941999912261963,"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/computer-science","display_name":"Computer science","score":0.8392159342765808},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.8020538091659546},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6122831702232361},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.588035523891449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5672456622123718},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5033416152000427},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47828325629234314},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.47579750418663025},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.45675382018089294},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.44039595127105713},{"id":"https://openalex.org/keywords/hausdorff-distance","display_name":"Hausdorff distance","score":0.42023593187332153},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41366127133369446},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3713494539260864},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3580743968486786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8392159342765808},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8020538091659546},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6122831702232361},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.588035523891449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5672456622123718},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5033416152000427},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47828325629234314},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.47579750418663025},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.45675382018089294},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.44039595127105713},{"id":"https://openalex.org/C141898687","wikidata":"https://www.wikidata.org/wiki/Q1501997","display_name":"Hausdorff distance","level":2,"score":0.42023593187332153},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41366127133369446},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3713494539260864},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3580743968486786},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdar.2007.4377055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4377055","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.157.2385","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.2385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://etienne.baudrier.free.fr/EBaudrierICDAR07.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1984784972","https://openalex.org/W1985439959","https://openalex.org/W2014440151","https://openalex.org/W2094892079","https://openalex.org/W2107105977","https://openalex.org/W2131136277","https://openalex.org/W2147105110","https://openalex.org/W2150339469","https://openalex.org/W2160754664","https://openalex.org/W2161074727","https://openalex.org/W2168561568","https://openalex.org/W6646901856"],"related_works":["https://openalex.org/W2136359393","https://openalex.org/W2068608913","https://openalex.org/W3125779006","https://openalex.org/W4383558899","https://openalex.org/W3124914020","https://openalex.org/W4383558898","https://openalex.org/W4285299496","https://openalex.org/W1942697116","https://openalex.org/W1751874673","https://openalex.org/W1968995150"],"abstract_inverted_index":{"As":[0],"ancient":[1],"documents":[2,9],"are":[3],"being":[4],"digitized,":[5],"systems":[6],"for":[7],"retrieving":[8],"or":[10],"images":[11,52],"can":[12,56],"now":[13],"be":[14,58],"found":[15],"in":[16],"digital":[17],"libraries.":[18],"With":[19],"regard":[20],"to":[21,34,92,112],"illustrations,":[22],"the":[23,30,37,40,69,86,90,103,113],"content-based":[24],"image":[25],"retrieval":[26],"is":[27,45,96,109],"difficult":[28],"and":[29,88,115],"user":[31,91],"often":[32],"needs":[33],"check":[35],"visually":[36],"similarity":[38],"of":[39,71,102],"retrieved":[41],"images.":[42],"This":[43],"process":[44],"not":[46],"entirely":[47],"reliable":[48],"since":[49],"very":[50],"similar":[51],"(impressions,":[53],"ornamental":[54],"letters)":[55],"actually":[57],"printed":[59],"from":[60],"distinct":[61],"stamps.":[62],"No":[63],"other":[64],"visualization":[65],"method":[66,82,107,122],"exists":[67],"than":[68],"map":[70],"pixel-":[72],"to-pixel":[73],"gray":[74],"level":[75],"difference":[76,118],"(PPDMap).":[77],"We":[78],"propose":[79],"here":[80],"a":[81,99],"that":[83],"evaluates":[84],"locally":[85],"differences":[87],"allows":[89],"visualize":[93],"them.":[94],"It":[95],"based":[97],"on":[98],"local":[100],"adaptation":[101],"Hausdorff":[104],"distance.":[105],"Our":[106],"performance":[108],"successfully":[110],"compared":[111],"PPDMap":[114],"an":[116],"expert":[117],"evaluation":[119],"assesses":[120],"our":[121],"reliability.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}