{"id":"https://openalex.org/W2973708842","doi":"https://doi.org/10.1145/3347317.3357246","title":"Challenging Deep Image Descriptors for Retrieval in Heterogeneous Iconographic Collections","display_name":"Challenging Deep Image Descriptors for Retrieval in Heterogeneous Iconographic Collections","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2973708842","doi":"https://doi.org/10.1145/3347317.3357246","mag":"2973708842"},"language":"en","primary_location":{"id":"doi:10.1145/3347317.3357246","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347317.3357246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1909.08866","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dimitri Gominski","orcid":null},"institutions":[{"id":"https://openalex.org/I112936343","display_name":"\u00c9cole Centrale de Lyon","ror":"https://ror.org/05s6rge65","country_code":"FR","type":"education","lineage":["https://openalex.org/I112936343","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dimitri Gominski","raw_affiliation_strings":["Univ. Paris-Est, IGN-ENSG/LaSTIG &amp; \u00c9cole Centrale Lyon - LIRIS, Saint-Mand\u00e9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Paris-Est, IGN-ENSG/LaSTIG &amp; \u00c9cole Centrale Lyon - LIRIS, Saint-Mand\u00e9, France","institution_ids":["https://openalex.org/I112936343","https://openalex.org/I4210155607"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Martyna Poreba","orcid":null},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Martyna Poreba","raw_affiliation_strings":["Univ. Paris-Est, IGN-ENSG/LaSTIG, Saint-Mand\u00e9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Paris-Est, IGN-ENSG/LaSTIG, Saint-Mand\u00e9, France","institution_ids":["https://openalex.org/I2800365227"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Val\u00e9rie Gouet-Brunet","orcid":null},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Val\u00e9rie Gouet-Brunet","raw_affiliation_strings":["Univ. Paris-Est, IGN-ENSG/LaSTIG, Saint-Mand\u00e9, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. Paris-Est, IGN-ENSG/LaSTIG, Saint-Mand\u00e9, France","institution_ids":["https://openalex.org/I2800365227"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liming Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I112936343","display_name":"\u00c9cole Centrale de Lyon","ror":"https://ror.org/05s6rge65","country_code":"FR","type":"education","lineage":["https://openalex.org/I112936343","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Liming Chen","raw_affiliation_strings":["\u00c9cole Centrale Lyon - LIRIS, \u00c9cully, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Centrale Lyon - LIRIS, \u00c9cully, France","institution_ids":["https://openalex.org/I112936343","https://openalex.org/I4210155607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3051,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61146015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"31","last_page":"38"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/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/T10036","display_name":"Advanced Neural Network Applications","score":0.9819999933242798,"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/image","display_name":"Image (mathematics)","score":0.5546000003814697},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47519999742507935},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.46129998564720154},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4325000047683716},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.335099995136261},{"id":"https://openalex.org/keywords/cultural-heritage","display_name":"Cultural heritage","score":0.3255000114440918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708299994468689},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65420001745224},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5546000003814697},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47519999742507935},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.46129998564720154},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4438000023365021},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4325000047683716},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36890000104904175},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.335099995136261},{"id":"https://openalex.org/C60671577","wikidata":"https://www.wikidata.org/wiki/Q210272","display_name":"Cultural heritage","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.2851000130176544},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.2784999907016754},{"id":"https://openalex.org/C125045340","wikidata":"https://www.wikidata.org/wiki/Q6002224","display_name":"Image formation","level":3,"score":0.26759999990463257},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2533000111579895}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3347317.3357246","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347317.3357246","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.08866","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.08866","pdf_url":"https://arxiv.org/pdf/1909.08866","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:HAL:hal-02273236v1","is_oa":false,"landing_page_url":"https://hal.science/hal-02273236","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 1st workshop on Structuring and Understanding of Multimedia heritAge Contents (SUMAC'19 Workshop @\u00a0ACM Multimedia 2019), Oct 2019, Nice, France. &#x27E8;10.1145/3347317.3357246&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1909.08866","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.08866","pdf_url":"https://arxiv.org/pdf/1909.08866","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G195474297","display_name":null,"funder_award_id":"2017-","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G3501155327","display_name":null,"funder_award_id":"ANR-17-CE38-0014-01","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4011612805","display_name":null,"funder_award_id":"17-CE38-0014","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4185335583","display_name":null,"funder_award_id":"ANR-17-CE38-0014","funder_id":"https://openalex.org/F4320325505","funder_display_name":"Agence Nationale pour le D\u00e9veloppement de la Recherche Universitaire"},{"id":"https://openalex.org/G6268741103","display_name":null,"funder_award_id":"0014-01","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6803667113","display_name":null,"funder_award_id":"ANR-17","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8981987764","display_name":"Advanced Linking and Exploitation of diGitized geOgRaphic Iconographic heritAge","funder_award_id":"ANR-17-CE38-0014","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320325505","display_name":"Agence Nationale pour le D\u00e9veloppement de la Recherche Universitaire","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W204268067","https://openalex.org/W1556531089","https://openalex.org/W1976794880","https://openalex.org/W2012592962","https://openalex.org/W2035652042","https://openalex.org/W2124404372","https://openalex.org/W2141362318","https://openalex.org/W2148809531","https://openalex.org/W2179042386","https://openalex.org/W2613373931","https://openalex.org/W2963588253"],"related_works":[],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"to":[3,120],"study":[4],"the":[5,63,105,109],"behavior":[6],"of":[7,23,56,62,71,74,107],"recent":[8],"and":[9,41,66,89],"efficient":[10],"state-of-the-art":[11],"deep-learning":[12],"based":[13],"image":[14,18,29,116],"descriptors":[15],"for":[16,114],"content-based":[17],"retrieval,":[19],"facing":[20],"a":[21,49,68,90],"panel":[22],"complex":[24,121],"variations":[25,73],"appearing":[26],"in":[27,31,33,129],"heterogeneous":[28,122],"datasets,":[30],"particular":[32],"cultural":[34],"collections":[35],"that":[36,124],"may":[37],"involve":[38],"multi-source,":[39],"multi-date":[40],"multi-view":[42],"contents.":[43],"For":[44],"this":[45],"purpose,":[46],"we":[47],"introduce":[48],"novel":[50],"dataset,":[51,54],"namely":[52],"Alegoria":[53],"consisting":[55],"12,952":[57],"iconographic":[58],"contents":[59],"representing":[60],"landscapes":[61],"French":[64],"territory,":[65],"encapsultating":[67],"large":[69],"range":[70],"intra-class":[72],"appearance":[75],"which":[76],"were":[77],"finely":[78],"labelled.":[79],"Six":[80],"deep":[81],"features":[82],"(DELF,":[83],"NetVLAD,":[84],"GeM,":[85],"MAC,":[86],"RMAC,":[87],"SPoC)":[88],"hand-crafted":[91],"local":[92],"descriptor":[93],"(ORB)":[94],"are":[95,102,125],"evaluated":[96],"against":[97],"these":[98],"variations.":[99],"Their":[100],"performance":[101],"discussed,":[103],"with":[104,111],"objective":[106],"providing":[108],"reader":[110],"research":[112],"directions":[113],"improving":[115],"description":[117],"techniques":[118],"dedicated":[119],"datasets":[123],"now":[126],"increasingly":[127],"present":[128],"topical":[130],"applications":[131],"targeting":[132],"heritage":[133],"valorization.":[134]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2019-09-26T00:00:00"}
