{"id":"https://openalex.org/W2891862962","doi":"https://doi.org/10.1109/icip.2018.8451600","title":"Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources","display_name":"Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2891862962","doi":"https://doi.org/10.1109/icip.2018.8451600","mag":"2891862962"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5074409158","display_name":"Paraskevi Nousi","orcid":"https://orcid.org/0000-0002-3087-3174"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Paraskevi Nousi","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090444678","display_name":"Emmanouil Patsiouras","orcid":"https://orcid.org/0009-0009-7947-0657"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Emmanouil Patsiouras","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041054091","display_name":"Anastasios Tefas","orcid":"https://orcid.org/0000-0003-1288-3667"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Tefas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061130224","display_name":"Ioannis Pitas","orcid":"https://orcid.org/0009-0006-7555-8641"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Pitas","raw_affiliation_strings":["Department of Informatics, Aristotle University of Thessaloniki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Aristotle University of Thessaloniki","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1612","issue":null,"first_page":"321","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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":0.9980000257492065,"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":0.8278775215148926},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7829254865646362},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7780991792678833},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7275148034095764},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6273801922798157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6272477507591248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5225833654403687},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43997669219970703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2801249623298645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8278775215148926},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7829254865646362},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7780991792678833},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7275148034095764},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6273801922798157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6272477507591248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5225833654403687},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43997669219970703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2801249623298645},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W182571476","https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1836465849","https://openalex.org/W1861492603","https://openalex.org/W2117539524","https://openalex.org/W2119144962","https://openalex.org/W2155893237","https://openalex.org/W2186094539","https://openalex.org/W2531409750","https://openalex.org/W2557728737","https://openalex.org/W2570343428","https://openalex.org/W2612445135","https://openalex.org/W2613718673","https://openalex.org/W2964299589","https://openalex.org/W3106250896","https://openalex.org/W4297775537","https://openalex.org/W6607458078","https://openalex.org/W6620707391","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6638667902","https://openalex.org/W6639102338","https://openalex.org/W6677580257","https://openalex.org/W6737664043","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2949096641","https://openalex.org/W2969228573","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W2963690996","https://openalex.org/W4254103348"],"abstract_inverted_index":{"Over":[0],"the":[1,33,42,50,66,72,111,134,143],"past":[2],"decade,":[3],"Deep":[4,93],"Convolutional":[5,138],"Neural":[6,139],"Networks":[7],"with":[8,41],"heavy":[9],"architectures":[10],"and":[11,20,56,121,151],"large":[12],"numbers":[13],"of":[14,36,46,53,68,113,137,145],"parameters":[15,69],"have":[16],"achieved":[17],"state-of-the-art":[18],"results":[19],"eclipsed":[21],"other":[22],"methods":[23,129,147],"in":[24,117],"multiple":[25],"visual":[26],"analysis":[27],"tasks,":[28],"including":[29],"object":[30,118],"detection.":[31],"However,":[32],"real-time":[34],"requirements":[35],"such":[37,146],"tasks":[38,120],"directly":[39],"conflict":[40],"restricted":[43],"computational":[44,85,135],"capabilities":[45],"embedded":[47],"systems,":[48],"prohibiting":[49],"immediate":[51],"deployment":[52],"bulky":[54],"models,":[55],"necessitating":[57],"their":[58,149],"optimization":[59,89,128],"for":[60,101,155],"inference.":[61],"Parameter":[62],"pruning":[63],"techniques":[64],"reduce":[65,133],"number":[67],"while":[70,141],"reducing":[71],"input":[73],"size":[74],"leads":[75],"to":[76,83,132],"smaller":[77],"internal":[78],"representations,":[79],"leading":[80],"by":[81,92,103],"extension":[82],"fewer":[84],"operations.":[86,108],"Furthermore,":[87],"inference":[88,127],"schemes":[90],"provided":[91],"Learning":[94],"frameworks":[95],"can":[96],"yield":[97],"significant":[98],"speed":[99],"ups,":[100],"example":[102],"allowing":[104],"half-precision":[105],"floating":[106],"point":[107],"We":[109],"investigate":[110],"behavior":[112],"various":[114],"model":[115],"configurations":[116],"detection":[119],"perform":[122],"a":[123],"comparative":[124],"study":[125],"on":[126,148],"which":[130],"aim":[131],"cost":[136],"Networks,":[140],"examining":[142],"effect":[144],"performance,":[150],"propose":[152],"architecture":[153],"modifications":[154],"this":[156],"purpose.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}