{"id":"https://openalex.org/W2965940031","doi":"https://doi.org/10.1109/jstsp.2020.2969554","title":"DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks","display_name":"DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks","publication_year":2020,"publication_date":"2020-01-28","ids":{"openalex":"https://openalex.org/W2965940031","doi":"https://doi.org/10.1109/jstsp.2020.2969554","mag":"2965940031"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2020.2969554","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.2969554","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9163420/08970294.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/4200690/9163420/08970294.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013534474","display_name":"Simon Wiedemann","orcid":"https://orcid.org/0000-0001-5144-3758"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Wiedemann","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5144-3758","affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013545715","display_name":"Heiner Kirchoffer","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiner Kirchhoffer","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052935868","display_name":"Stefan Matlage","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Matlage","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047193422","display_name":"Paul Haase","orcid":"https://orcid.org/0000-0002-0273-4564"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Haase","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0273-4564","affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071474008","display_name":"Arturo Marb\u00e1n","orcid":"https://orcid.org/0000-0003-3065-0103"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arturo Marban","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050035787","display_name":"Talmaj Marin\u010d","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Talmaj Marinc","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102743673","display_name":"David Neumann","orcid":"https://orcid.org/0000-0003-1907-8329"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"David Neumann","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704003","display_name":"Tung Nguyen","orcid":"https://orcid.org/0000-0002-7429-4932"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tung Nguyen","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7429-4932","affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056193742","display_name":"Heiko Schwarz","orcid":"https://orcid.org/0000-0002-7136-0041"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiko Schwarz","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7136-0041","affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034084717","display_name":"Thomas Wiegand","orcid":"https://orcid.org/0000-0002-1121-2581"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wiegand","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083836367","display_name":"Detlev Marpe","orcid":"https://orcid.org/0000-0002-5391-3247"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Detlev Marpe","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5391-3247","affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026451495","display_name":"Wojciech Samek","orcid":"https://orcid.org/0000-0002-6283-3265"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wojciech Samek","raw_affiliation_strings":["Fraunhofer Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6283-3265","affiliations":[{"raw_affiliation_string":"Fraunhofer Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800274787"],"apc_list":null,"apc_paid":null,"fwci":0.2885,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.52140272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"14","issue":"4","first_page":"700","last_page":"714"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression 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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/lossless-compression","display_name":"Lossless compression","score":0.7776973247528076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7356681227684021},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.7085795402526855},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6644025444984436},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6175634860992432},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.5700950622558594},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.5676393508911133},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5462775230407715},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5022492408752441},{"id":"https://openalex.org/keywords/context-adaptive-variable-length-coding","display_name":"Context-adaptive variable-length coding","score":0.5010514259338379},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.4542754590511322},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4532800614833832},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.44016703963279724},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4374280273914337},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43069469928741455},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38550931215286255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3443793058395386},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.12984278798103333}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7776973247528076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7356681227684021},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.7085795402526855},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6644025444984436},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6175634860992432},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.5700950622558594},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.5676393508911133},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5462775230407715},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5022492408752441},{"id":"https://openalex.org/C135534801","wikidata":"https://www.wikidata.org/wiki/Q1128721","display_name":"Context-adaptive variable-length coding","level":4,"score":0.5010514259338379},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.4542754590511322},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4532800614833832},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.44016703963279724},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4374280273914337},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43069469928741455},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38550931215286255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3443793058395386},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.12984278798103333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/jstsp.2020.2969554","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.2969554","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9163420/08970294.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1907.11900","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.11900","pdf_url":"https://arxiv.org/pdf/1907.11900","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":null,"raw_type":"text"},{"id":"mag:2965940031","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.11900","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:fraunhofer.de:N-582585","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-582585.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"Fraunhofer HHI","raw_type":"Journal Article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/262885","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/262885","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"},{"id":"doi:10.48550/arxiv.1907.11900","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.11900","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1109/jstsp.2020.2969554","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstsp.2020.2969554","pdf_url":"https://ieeexplore.ieee.org/ielx7/4200690/9163420/08970294.pdf","source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5107149718","display_name":null,"funder_award_id":"01IS18037I","funder_id":"https://openalex.org/F4320336673","funder_display_name":"Berlin Center for Machine Learning"}],"funders":[{"id":"https://openalex.org/F4320336673","display_name":"Berlin Center for Machine Learning","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965940031.pdf","grobid_xml":"https://content.openalex.org/works/W2965940031.grobid-xml"},"referenced_works_count":84,"referenced_works":["https://openalex.org/W1567917159","https://openalex.org/W1667652561","https://openalex.org/W1686810756","https://openalex.org/W1826234144","https://openalex.org/W1841592590","https://openalex.org/W1974042972","https://openalex.org/W1995875735","https://openalex.org/W1999085092","https://openalex.org/W2041404167","https://openalex.org/W2060108852","https://openalex.org/W2076063813","https://openalex.org/W2114766824","https://openalex.org/W2128676746","https://openalex.org/W2129768577","https://openalex.org/W2156150815","https://openalex.org/W2260663238","https://openalex.org/W2283463896","https://openalex.org/W2300242332","https://openalex.org/W2319920447","https://openalex.org/W2405920868","https://openalex.org/W2505609860","https://openalex.org/W2507318699","https://openalex.org/W2560017826","https://openalex.org/W2582745083","https://openalex.org/W2582794520","https://openalex.org/W2584314014","https://openalex.org/W2593245696","https://openalex.org/W2611105550","https://openalex.org/W2612445135","https://openalex.org/W2619890685","https://openalex.org/W2724616073","https://openalex.org/W2748818695","https://openalex.org/W2766839578","https://openalex.org/W2768607686","https://openalex.org/W2769743532","https://openalex.org/W2783538964","https://openalex.org/W2785745756","https://openalex.org/W2785916643","https://openalex.org/W2796625795","https://openalex.org/W2918777711","https://openalex.org/W2919115771","https://openalex.org/W2921802966","https://openalex.org/W2951978180","https://openalex.org/W2952746978","https://openalex.org/W2953235111","https://openalex.org/W2962883549","https://openalex.org/W2962885042","https://openalex.org/W2963319203","https://openalex.org/W2963500407","https://openalex.org/W2963674932","https://openalex.org/W2963709416","https://openalex.org/W2963828549","https://openalex.org/W2964051635","https://openalex.org/W2964299589","https://openalex.org/W2967733054","https://openalex.org/W2977309503","https://openalex.org/W2978015420","https://openalex.org/W2980137827","https://openalex.org/W2981751377","https://openalex.org/W2989289980","https://openalex.org/W3100711616","https://openalex.org/W3123545922","https://openalex.org/W4297737050","https://openalex.org/W6637151318","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6638632666","https://openalex.org/W6692521979","https://openalex.org/W6695838908","https://openalex.org/W6724998850","https://openalex.org/W6730047919","https://openalex.org/W6732814185","https://openalex.org/W6732866452","https://openalex.org/W6734062232","https://openalex.org/W6737664043","https://openalex.org/W6739000085","https://openalex.org/W6745499037","https://openalex.org/W6746062806","https://openalex.org/W6748313825","https://openalex.org/W6750227808","https://openalex.org/W6755207826","https://openalex.org/W6766029800","https://openalex.org/W6768021236","https://openalex.org/W6768297860"],"related_works":["https://openalex.org/W3004198379","https://openalex.org/W2945034085","https://openalex.org/W2387280364","https://openalex.org/W2531563562","https://openalex.org/W2770360624","https://openalex.org/W3163616200","https://openalex.org/W2896942840","https://openalex.org/W2923833346","https://openalex.org/W2782648016","https://openalex.org/W2009661248","https://openalex.org/W3177113534","https://openalex.org/W3162473050","https://openalex.org/W2020965640","https://openalex.org/W2982853315","https://openalex.org/W3013804255","https://openalex.org/W3102451820","https://openalex.org/W3033326602","https://openalex.org/W3157956104","https://openalex.org/W2996390082","https://openalex.org/W2007401469"],"abstract_inverted_index":{"In":[0,44],"the":[1,30,68,76,83,86,107,112,142,158],"past":[2],"decade":[3],"deep":[4],"neural":[5],"networks":[6],"(DNNs)":[7],"have":[8,25],"shown":[9],"state-of-the-art":[10,84],"performance":[11,114],"on":[12,59],"a":[13,35,50,95,101],"wide":[14],"range":[15],"of":[16,22,32,42,90,109,151],"complex":[17],"machine":[18],"learning":[19],"tasks.":[20],"Many":[21],"these":[23],"results":[24,118],"been":[26],"achieved":[27],"while":[28,104],"growing":[29],"size":[31],"DNNs,":[33],"creating":[34],"demand":[36],"for":[37,54,75,85,132,168],"efficient":[38],"compression":[39,52,88,125],"and":[40,81,170],"transmission":[41],"them.":[43],"this":[45],"work":[46],"we":[47],"present":[48],"DeepCABAC,":[49],"universal":[51],"algorithm":[53],"DNNs":[55],"that":[56,99,120],"is":[57,138],"based":[58],"applying":[60],"Context-based":[61],"Adaptive":[62],"Binary":[63],"Arithmetic":[64],"Coder":[65],"(CABAC)":[66],"to":[67,111,140,156],"DNN":[69,113,133],"parameters.":[70],"CABAC":[71],"was":[72],"originally":[73],"designed":[74],"H.264/AVC":[77],"video":[78,91],"coding":[79,130],"standard":[80],"became":[82],"lossless":[87],"part":[89],"compression.":[92,134],"DeepCABAC":[93,121],"applies":[94],"novel":[96],"quantization":[97,110],"scheme":[98],"minimizes":[100],"rate-distortion":[102],"function":[103],"simultaneously":[105],"taking":[106],"impact":[108],"into":[115],"account.":[116],"Experimental":[117],"show":[119],"consistently":[122],"attains":[123],"higher":[124],"rates":[126],"than":[127],"previously":[128],"proposed":[129],"techniques":[131],"For":[135],"instance,":[136],"it":[137],"able":[139,155],"compress":[141],"VGG16":[143],"ImageNet":[144],"model":[145],"by":[146],"x63.6":[147],"with":[148,161],"no":[149],"loss":[150],"accuracy,":[152],"thus":[153],"being":[154],"represent":[157],"entire":[159],"network":[160],"merely":[162],"9":[163],"MB.":[164],"The":[165],"source":[166],"code":[167],"encoding":[169],"decoding":[171],"can":[172],"be":[173],"found":[174],"at":[175],"https://github.com/fraunhoferhhi/DeepCABAC.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
