{"id":"https://openalex.org/W4372266904","doi":"https://doi.org/10.1109/icassp49357.2023.10095647","title":"Learning on Entropy Coded Images with CNN","display_name":"Learning on Entropy Coded Images with CNN","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372266904","doi":"https://doi.org/10.1109/icassp49357.2023.10095647"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095647","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04133662v1/file/icassp2023_learning_on_entropy_coded_images_with_cnn.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078511004","display_name":"R\u00e9mi Piau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"R\u00e9mi Piau","raw_affiliation_strings":["INRIA,Rennes,France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"affiliations":[{"raw_affiliation_string":"INRIA,Rennes,France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011824101","display_name":"Thomas Maugey","orcid":"https://orcid.org/0000-0002-7149-0823"},"institutions":[{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Maugey","raw_affiliation_strings":["INRIA,Rennes,France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"affiliations":[{"raw_affiliation_string":"INRIA,Rennes,France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004726647","display_name":"Aline Roumy","orcid":"https://orcid.org/0000-0002-6352-8166"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Inria Rennes - Bretagne Atlantique Research Centre","ror":"https://ror.org/04040yw90","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aline Roumy","raw_affiliation_strings":["INRIA,Rennes,France","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"affiliations":[{"raw_affiliation_string":"INRIA,Rennes,France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078511004"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"],"apc_list":null,"apc_paid":null,"fwci":0.2445,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49940555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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":0.9991000294685364,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9991000294685364,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7745954990386963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7693573832511902},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6567522287368774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6012842655181885},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.601142942905426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5106611847877502},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3667888641357422},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32424062490463257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15865406394004822}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7745954990386963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7693573832511902},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6567522287368774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6012842655181885},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.601142942905426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5106611847877502},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3667888641357422},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32424062490463257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15865406394004822},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095647","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04133662v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04133662","pdf_url":"https://hal.science/hal-04133662v1/file/icassp2023_learning_on_entropy_coded_images_with_cnn.pdf","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes, Greece. pp.1-5, &#x27E8;10.1109/ICASSP49357.2023.10095647&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04133662v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04133662","pdf_url":"https://hal.science/hal-04133662v1/file/icassp2023_learning_on_entropy_coded_images_with_cnn.pdf","source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes, Greece. pp.1-5, &#x27E8;10.1109/ICASSP49357.2023.10095647&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4372266904.pdf","grobid_xml":"https://content.openalex.org/works/W4372266904.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1483739112","https://openalex.org/W1522301498","https://openalex.org/W1588594383","https://openalex.org/W1686810756","https://openalex.org/W1972579309","https://openalex.org/W2081239020","https://openalex.org/W2140196014","https://openalex.org/W2140199336","https://openalex.org/W2146395539","https://openalex.org/W2194775991","https://openalex.org/W2750384547","https://openalex.org/W2785562966","https://openalex.org/W2786977213","https://openalex.org/W2963880930","https://openalex.org/W2964098744","https://openalex.org/W3082548248","https://openalex.org/W3091188807","https://openalex.org/W3118608800","https://openalex.org/W3140060010","https://openalex.org/W3202918664","https://openalex.org/W3206354200","https://openalex.org/W6628898578","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6748692466","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2156910174","https://openalex.org/W1995054232","https://openalex.org/W2011510925","https://openalex.org/W1557920161","https://openalex.org/W1556709767","https://openalex.org/W1993023208","https://openalex.org/W4291020658","https://openalex.org/W2593813644","https://openalex.org/W2061476331","https://openalex.org/W2151215270"],"abstract_inverted_index":{"We":[0],"propose":[1,112],"an":[2,58],"empirical":[3],"study":[4],"to":[5,34,37,92],"see":[6],"whether":[7],"learning":[8,68],"with":[9],"convolutional":[10],"neural":[11],"networks":[12],"(CNNs)":[13],"on":[14,104,108,124],"entropy":[15,59,125],"coded":[16,126],"data":[17,55,101],"is":[18,73],"possible.":[19],"First,":[20],"we":[21,31,45,111],"define":[22],"spatial":[23],"and":[24,76],"semantic":[25],"closeness,":[26],"two":[27],"key":[28],"properties":[29,49],"that":[30,47,67,77,115],"experimentally":[32],"show":[33,46,66],"be":[35],"necessary":[36],"guarantee":[38],"the":[39,42,54,78,93,106],"efficiency":[40],"of":[41,95],"convolution.":[43],"Then,":[44],"these":[48],"are":[50,80,119],"not":[51],"satisfied":[52],"by":[53,57],"processed":[56],"coder.":[60],"Despite":[61],"this,":[62],"our":[63],"experimental":[64],"results":[65,87],"in":[69],"such":[70],"difficult":[71],"conditions":[72],"still":[74,120],"possible,":[75],"performance":[79],"far":[81],"from":[82],"a":[83],"random":[84],"guess.":[85],"These":[86],"have":[88],"been":[89],"obtained":[90],"thanks":[91],"construction":[94],"CNN":[96,118],"architectures":[97],"designed":[98],"for":[99],"1D":[100],"(one":[102],"based":[103],"VGG,":[105],"other":[107],"ResNet).":[109],"Finally,":[110],"some":[113],"experiments":[114],"explain":[116],"why":[117],"performing":[121],"reasonably":[122],"well":[123],"data.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
