{"id":"https://openalex.org/W4386301902","doi":"https://doi.org/10.48550/arxiv.2308.14786","title":"Extending Cross-Modal Retrieval with Interactive Learning to Improve Image Retrieval Performance in Forensics","display_name":"Extending Cross-Modal Retrieval with Interactive Learning to Improve Image Retrieval Performance in Forensics","publication_year":2023,"publication_date":"2023-08-28","ids":{"openalex":"https://openalex.org/W4386301902","doi":"https://doi.org/10.48550/arxiv.2308.14786"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2308.14786","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.14786","pdf_url":"https://arxiv.org/pdf/2308.14786","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.14786","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092817918","display_name":"Nils B\u00f6hne","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"B\u00f6hne, Nils","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113624290","display_name":"Mark S. Berger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berger, Mark","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5092817919","display_name":"Ronald van Velzen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"van Velzen, Ronald","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092817918"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.995199978351593,"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":0.995199978351593,"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":0.9843000173568726,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7991029620170593},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7127240896224976},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5702177286148071},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.566361665725708},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5097808241844177},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.47611814737319946},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.46407392621040344},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3551499843597412},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3345465660095215},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33425790071487427},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33408665657043457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29917576909065247},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08261984586715698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991029620170593},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7127240896224976},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5702177286148071},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.566361665725708},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5097808241844177},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.47611814737319946},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.46407392621040344},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3551499843597412},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3345465660095215},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33425790071487427},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33408665657043457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29917576909065247},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08261984586715698},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2308.14786","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.14786","pdf_url":"https://arxiv.org/pdf/2308.14786","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2308.14786","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2308.14786","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.14786","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.14786","pdf_url":"https://arxiv.org/pdf/2308.14786","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386301902.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2787993192","https://openalex.org/W2067681493","https://openalex.org/W4320801814","https://openalex.org/W2010965336","https://openalex.org/W2972427363","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W4312710333"],"abstract_inverted_index":{"Nowadays,":[0],"one":[1],"of":[2,13,50,112],"the":[3,10,48,59,100,110],"critical":[4],"challenges":[5],"in":[6,53,58,95,99,127,130],"forensics":[7],"is":[8,41,92],"analyzing":[9],"enormous":[11],"amounts":[12],"unstructured":[14,21],"digital":[15,22],"evidence,":[16],"such":[17],"as":[18],"images.":[19],"Often,":[20],"evidence":[23],"contains":[24],"precious":[25],"information":[26],"for":[27],"forensic":[28,60,101],"investigations.":[29],"Therefore,":[30],"a":[31,66,83],"retrieval":[32,56,70,97],"system":[33,71],"that":[34,89],"can":[35],"effectively":[36,108],"identify":[37],"forensically":[38],"relevant":[39],"images":[40],"paramount.":[42],"In":[43],"this":[44],"work,":[45],"we":[46],"explored":[47],"effectiveness":[49],"interactive":[51,74,90,113],"learning":[52,91],"improving":[54,96],"image":[55,69],"performance":[57,98],"domain":[61],"by":[62],"proposing":[63],"Excalibur":[64,76,118],"-":[65],"zero-shot":[67],"cross-modal":[68],"extended":[72],"with":[73],"learning.":[75,114],"was":[77],"evaluated":[78],"using":[79,128],"both":[80],"simulations":[81,87],"and":[82,120,124],"user":[84,104],"study.":[85],"The":[86],"reveal":[88],"highly":[93],"effective":[94,119],"domain.":[102],"Furthermore,":[103],"study":[105],"participants":[106],"could":[107],"leverage":[109],"power":[111],"Finally,":[115],"they":[116],"considered":[117],"straightforward":[121],"to":[122],"use":[123],"expressed":[125],"interest":[126],"it":[129],"their":[131],"daily":[132],"practice.":[133]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2023-08-31T00:00:00"}
