{"id":"https://openalex.org/W6925278798","doi":"https://doi.org/10.18420/inf2022_09","title":"A pipeline for analysing image and video material in a forensic context with intelligent systems","display_name":"A pipeline for analysing image and video material in a forensic context with intelligent systems","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W6925278798","doi":"https://doi.org/10.18420/inf2022_09"},"language":"en","primary_location":{"id":"doi:10.18420/inf2022_09","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2022_09","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.18420/inf2022_09","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Preu\u00df, Svenja","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Preu\u00df, Svenja","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Labudde, Dirk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Labudde, Dirk","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74403091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T14521","display_name":"Medicinal Plant Research","score":0.07479999959468842,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T14521","display_name":"Medicinal Plant Research","score":0.07479999959468842,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13422","display_name":"Phytochemistry and biological activities of Ficus species","score":0.048700001090765,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13846","display_name":"Mangiferin and Mango Extracts","score":0.0414000004529953,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6549000144004822},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6503000259399414},{"id":"https://openalex.org/keywords/digital-forensics","display_name":"Digital forensics","score":0.5763000249862671},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.507099986076355},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49549999833106995},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4878999888896942},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4803999960422516},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.47350001335144043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343000173568726},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6549000144004822},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6503000259399414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6123999953269958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6026999950408936},{"id":"https://openalex.org/C84418412","wikidata":"https://www.wikidata.org/wiki/Q3246940","display_name":"Digital forensics","level":2,"score":0.5763000249862671},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.507099986076355},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49549999833106995},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4878999888896942},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4803999960422516},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.47350001335144043},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4584999978542328},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C556601545","wikidata":"https://www.wikidata.org/wiki/Q878553","display_name":"Computer forensics","level":3,"score":0.42309999465942383},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.414000004529953},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.33090001344680786},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.296099990606308},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.28060001134872437},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2761000096797943},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18420/inf2022_09","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2022_09","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.18420/inf2022_09","is_oa":true,"landing_page_url":"https://doi.org/10.18420/inf2022_09","pdf_url":null,"source":{"id":"https://openalex.org/S7407052918","display_name":"Gesellschaft f\u00fcr Informatik (GI)","issn_l":null,"issn":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6480551958084106,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Shows":[0],"like":[1],"CSI":[2,63],"seem":[3],"to":[4,78,95,147,171,177],"convey":[5],"a":[6,40,67],"certain":[7],"view":[8,51,70],"on":[9,16,52,71],"the":[10,17,23,49,62,137,158],"capabilities":[11,97],"of":[12,20,43,149],"forensic":[13,54,91],"science":[14],"based":[15],"vast":[18],"progress":[19],"digitalisation":[21],"and":[22,37,82,93,111,130,153,173],"new":[24],"technology,":[25],"that":[26],"goes":[27],"along":[28],"with":[29],"it.":[30],"But":[31],"those":[32],"depictions":[33],"can":[34,121,133],"be":[35,122,134],"misleading":[36],"hardly":[38],"represent":[39],"realistic":[41,69],"reflection":[42],"reality.":[44],"Nevertheless,":[45],"this":[46,104],"representation":[47],"influences":[48],"public":[50],"digital":[53,74],"analysis.":[55],"This":[56,167],"phenomenon":[57],"is":[58,109],"also":[59],"known":[60],"as":[61,98,100,117,180,182],"effect.":[64],"To":[65],"present":[66],"more":[68],"practices":[72],"in":[73,87,184],"forensics,":[75],"we":[76],"want":[77],"introduce":[79],"typical":[80],"image":[81,110,131,139,159],"video":[83,112],"analysis":[84,146],"methods":[85,115,141],"used":[86],"tackling":[88],"real":[89],"life":[90],"challenges":[92],"point":[94],"their":[96,101,125],"well":[99,181],"limits.":[102],"In":[103],"context":[105],"an":[106],"important":[107],"area":[108],"enhancement.":[113],"With":[114],"such":[116],"Super":[118],"Resolution,":[119],"images":[120,185],"scaled":[123],"up,":[124],"corresponding":[126],"resolution":[127],"gets":[128],"enhanced":[129],"noise":[132],"reduced.":[135],"During":[136],"subsequent":[138],"analysis,":[140],"ranging":[142],"from":[143,157],"purely":[144],"cognitive":[145],"extraction":[148],"raw":[150],"pixel":[151],"values":[152],"various":[154],"semantic":[155],"information":[156],"or":[160,186],"video,":[161],"utilizing":[162],"AI":[163],"frameworks,":[164],"are":[165],"used.":[166],"allows":[168],"for":[169],"example":[170],"detect":[172],"analyse":[174],"faces":[175],"up":[176],"whole":[178],"people,":[179],"objects":[183],"videos.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}