{"id":"https://openalex.org/W2789010967","doi":"https://doi.org/10.1109/icassp.2018.8462263","title":"Autoencoder Based Image Compression: Can the Learning be Quantization Independent?","display_name":"Autoencoder Based Image Compression: Can the Learning be Quantization Independent?","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2789010967","doi":"https://doi.org/10.1109/icassp.2018.8462263","mag":"2789010967"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1802.09371","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001961411","display_name":"Thierry Dumas","orcid":"https://orcid.org/0000-0002-7751-5219"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thierry Dumas","raw_affiliation_strings":["INRIA Rennes, Bretagne, Atlantique","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA Rennes, Bretagne, Atlantique","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"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/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 sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aline Roumy","raw_affiliation_strings":["INRIA Rennes, Bretagne, Atlantique","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA Rennes, Bretagne, Atlantique","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"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/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA Rennes, Bretagne, Atlantique","Sirocco - Analysis representation, compression and communication of visual data (Campus de Beaulieu 35042 Rennes cedes - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA Rennes, Bretagne, Atlantique","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]},{"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":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1188","last_page":"1192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T10901","display_name":"Advanced Data Compression Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/autoencoder","display_name":"Autoencoder","score":0.8026155233383179},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7414762377738953},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.6725114583969116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5846197605133057},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.5824007987976074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5729957818984985},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4926825165748596},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.49088460206985474},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.46679195761680603},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45347100496292114},{"id":"https://openalex.org/keywords/linde\u2013buzo\u2013gray-algorithm","display_name":"Linde\u2013Buzo\u2013Gray algorithm","score":0.44629156589508057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42998653650283813},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.41577214002609253},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.398793488740921},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35124003887176514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34263575077056885},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2897234559059143},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25374525785446167},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.2503945827484131}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8026155233383179},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7414762377738953},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.6725114583969116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5846197605133057},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.5824007987976074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5729957818984985},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4926825165748596},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.49088460206985474},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.46679195761680603},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45347100496292114},{"id":"https://openalex.org/C93372532","wikidata":"https://www.wikidata.org/wiki/Q6552455","display_name":"Linde\u2013Buzo\u2013Gray algorithm","level":3,"score":0.44629156589508057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42998653650283813},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.41577214002609253},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.398793488740921},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35124003887176514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34263575077056885},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2897234559059143},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25374525785446167},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.2503945827484131},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2018.8462263","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1802.09371","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.09371","pdf_url":"https://arxiv.org/pdf/1802.09371","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01713644v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01713644","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2018 - International Conference on Acoustics, Speech and Signal Processing ICASSP, Apr 2018, Calgary, Canada. pp.1188-1192, ⟨10.1109/ICASSP.2018.8462263⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1802.09371","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1802.09371","pdf_url":"https://arxiv.org/pdf/1802.09371","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1825675169","https://openalex.org/W1932198206","https://openalex.org/W2108598243","https://openalex.org/W2112482011","https://openalex.org/W2121927366","https://openalex.org/W2146395539","https://openalex.org/W2151912295","https://openalex.org/W2168013545","https://openalex.org/W2276024283","https://openalex.org/W2304648132","https://openalex.org/W2343938449","https://openalex.org/W2396976214","https://openalex.org/W2552465432","https://openalex.org/W2560886329","https://openalex.org/W2612888645","https://openalex.org/W2962676454","https://openalex.org/W2963449488","https://openalex.org/W4231109964","https://openalex.org/W4294567867","https://openalex.org/W4297659253","https://openalex.org/W4297737050","https://openalex.org/W6638389677","https://openalex.org/W6640300313","https://openalex.org/W6676297131","https://openalex.org/W6684683940","https://openalex.org/W6712185225","https://openalex.org/W6734035190","https://openalex.org/W6738104515","https://openalex.org/W6738494155","https://openalex.org/W6758860047"],"related_works":["https://openalex.org/W1539956819","https://openalex.org/W2352648934","https://openalex.org/W2017514583","https://openalex.org/W2100120615","https://openalex.org/W2391875658","https://openalex.org/W2378212145","https://openalex.org/W2387054321","https://openalex.org/W1929869830","https://openalex.org/W2158612577","https://openalex.org/W2390504222"],"abstract_inverted_index":{"This":[0,80],"paper":[1],"explores":[2],"the":[3,14,24,29,73],"problem":[4],"of":[5,17,31,85],"learning":[6,38],"transforms":[7],"for":[8],"image":[9,18],"compression":[10,19],"via":[11],"autoencoders.":[12],"Usually,":[13],"rate-distortion":[15,42,66],"performances":[16,55],"are":[20,68],"tuned":[21],"by":[22,71],"varying":[23,72],"quantization":[25,47,74],"step":[26,48,75],"size.":[27,49],"In":[28],"case":[30],"autoencoders,":[32],"this":[33],"in":[34],"principle":[35],"would":[36],"require":[37],"one":[39],"transform":[40],"per":[41],"point":[43],"at":[44,77],"a":[45,60,83],"given":[46],"Here,":[50],"we":[51],"show":[52],"that":[53],"comparable":[54],"can":[56],"be":[57],"obtained":[58],"with":[59],"unique":[61],"learned":[62],"transform.":[63],"The":[64],"different":[65],"points":[67],"then":[69],"reached":[70],"size":[76],"test":[78],"time.":[79,87],"approach":[81],"saves":[82],"lot":[84],"training":[86]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}