{"id":"https://openalex.org/W4308098192","doi":"https://doi.org/10.1109/euvip53989.2022.9922880","title":"IDALib: a Python library for efficient image data augmentation","display_name":"IDALib: a Python library for efficient image data augmentation","publication_year":2022,"publication_date":"2022-09-11","ids":{"openalex":"https://openalex.org/W4308098192","doi":"https://doi.org/10.1109/euvip53989.2022.9922880"},"language":"en","primary_location":{"id":"doi:10.1109/euvip53989.2022.9922880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip53989.2022.9922880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 10th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5082525488","display_name":"Nicol\u00e1s Vila-Blanco","orcid":"https://orcid.org/0000-0001-5865-9973"},"institutions":[{"id":"https://openalex.org/I200284239","display_name":"Universidade de Santiago de Compostela","ror":"https://ror.org/030eybx10","country_code":"ES","type":"education","lineage":["https://openalex.org/I200284239"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nicolas Vila-Blanco","raw_affiliation_strings":["Centro de Investigaci&#x00F3;n en Tecnolox&#x00ED;as Intelixentes (CiTIUS) Universidade de Santiago de Compostela,Santiago de Compostela,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Investigaci&#x00F3;n en Tecnolox&#x00ED;as Intelixentes (CiTIUS) Universidade de Santiago de Compostela,Santiago de Compostela,Spain","institution_ids":["https://openalex.org/I200284239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002565165","display_name":"Raquel R. Vilas","orcid":null},"institutions":[{"id":"https://openalex.org/I200284239","display_name":"Universidade de Santiago de Compostela","ror":"https://ror.org/030eybx10","country_code":"ES","type":"education","lineage":["https://openalex.org/I200284239"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Raquel R. Vilas","raw_affiliation_strings":["Centro de Investigaci&#x00F3;n en Tecnolox&#x00ED;as Intelixentes (CiTIUS) Universidade de Santiago de Compostela,Santiago de Compostela,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Investigaci&#x00F3;n en Tecnolox&#x00ED;as Intelixentes (CiTIUS) Universidade de Santiago de Compostela,Santiago de Compostela,Spain","institution_ids":["https://openalex.org/I200284239"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075062131","display_name":"Mar\u0131\u0301a J. Carreira","orcid":"https://orcid.org/0000-0003-0532-2351"},"institutions":[{"id":"https://openalex.org/I200284239","display_name":"Universidade de Santiago de Compostela","ror":"https://ror.org/030eybx10","country_code":"ES","type":"education","lineage":["https://openalex.org/I200284239"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Maria J. Carreira","raw_affiliation_strings":["Centro de Investigaci&#x00F3;n en Tecnolox&#x00ED;as Intelixentes (CiTIUS) Universidade de Santiago de Compostela,Santiago de Compostela,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centro de Investigaci&#x00F3;n en Tecnolox&#x00ED;as Intelixentes (CiTIUS) Universidade de Santiago de Compostela,Santiago de Compostela,Spain","institution_ids":["https://openalex.org/I200284239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200284239"],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37923222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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":0.9983000159263611,"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":0.9941999912261963,"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":0.8854600191116333},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.7663639783859253},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.7540870904922485},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5485223531723022},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5391687750816345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45289862155914307},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43929770588874817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41411957144737244},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.300612211227417},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2180505096912384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8854600191116333},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.7663639783859253},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.7540870904922485},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5485223531723022},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5391687750816345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45289862155914307},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43929770588874817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41411957144737244},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.300612211227417},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2180505096912384},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip53989.2022.9922880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip53989.2022.9922880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 10th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2015159529","https://openalex.org/W2095705004","https://openalex.org/W2194775991","https://openalex.org/W2331143823","https://openalex.org/W2618530766","https://openalex.org/W2889985731","https://openalex.org/W2962949934","https://openalex.org/W2963459241","https://openalex.org/W3025573667","https://openalex.org/W3099319035","https://openalex.org/W3106753828","https://openalex.org/W6637373629","https://openalex.org/W6674330103","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W2317245370","https://openalex.org/W198851386","https://openalex.org/W1980160788","https://openalex.org/W2030310580","https://openalex.org/W947442053","https://openalex.org/W2148915962","https://openalex.org/W4313433561","https://openalex.org/W2283866686","https://openalex.org/W4287182096","https://openalex.org/W27867058"],"abstract_inverted_index":{"The":[0],"accuracy":[1],"obtained":[2],"with":[3,81],"deep":[4],"learning-based":[5],"systems":[6],"usually":[7],"depends":[8],"on":[9,70],"the":[10,30,54,71,82,87,100,107,129],"availability":[11],"of":[12,32,85,96,104],"large":[13],"image":[14,51],"datasets,":[15],"which":[16,113],"is":[17,23,58,125],"not":[18],"always":[19],"possible.":[20],"Consequently,":[21],"it":[22,91],"necessary":[24],"to":[25,28,65,115],"apply":[26],"techniques":[27],"increase":[29],"size":[31],"these":[33],"datasets":[34],"and":[35,41,53,73,102],"their":[36],"variability":[37],"in":[38,111,120,128],"a":[39,47,94,116],"reliable":[40],"efficient":[42],"way.":[43],"In":[44],"this":[45],"respect,":[46],"novel":[48],"tool":[49],"for":[50],"augmentation":[52],"associated":[55],"data,":[56,75],"IDALib,":[57],"presented.":[59],"It":[60],"provides":[61],"an":[62],"automatic":[63],"method":[64],"perform":[66],"transformation":[67],"operations":[68],"jointly":[69],"images":[72],"related":[74],"such":[76,98],"as":[77,99],"landmarks":[78],"or":[79],"masks,":[80],"main":[83],"aim":[84],"minimising":[86],"computational":[88],"overhead.":[89],"Thus,":[90],"applies":[92],"automatically":[93],"set":[95],"optimisations,":[97],"vectorisation":[101],"composition":[103],"operations.":[105],"Furthermore,":[106],"transformations":[108],"are":[109],"performed":[110],"GPU,":[112],"leads":[114],"notable":[117],"speedup,":[118],"specially":[119],"dual":[121],"GPU":[122],"setups.":[123],"IDALib":[124],"publicly":[126],"available":[127],"PyPI":[130],"repository,":[131],"https://pypi.org/project/ida-lib/":[132]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
