{"id":"https://openalex.org/W2971311365","doi":"https://doi.org/10.1109/icip.2019.8802925","title":"Neural Network Guided Perceptually Optimized Bit-Allocation for Block-Based Image and Video Compression","display_name":"Neural Network Guided Perceptually Optimized Bit-Allocation for Block-Based Image and Video Compression","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2971311365","doi":"https://doi.org/10.1109/icip.2019.8802925","mag":"2971311365"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8802925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8802925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5020506776","display_name":"Sebastian Bosse","orcid":"https://orcid.org/0000-0002-8104-3904"},"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":"Sebastian Bosse","raw_affiliation_strings":["Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004715060","display_name":"Michael Dietzel","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":"Michael Dietzel","raw_affiliation_strings":["Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065549991","display_name":"S\u00f6ren Becker","orcid":"https://orcid.org/0000-0002-9391-7912"},"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":"Soren Becker","raw_affiliation_strings":["Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037018768","display_name":"Christian R. Helmrich","orcid":"https://orcid.org/0000-0001-6606-112X"},"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":"Christian R. Helmrich","raw_affiliation_strings":["Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083069091","display_name":"Mischa Siekmann","orcid":"https://orcid.org/0000-0003-0405-1852"},"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":"Mischa Siekmann","raw_affiliation_strings":["Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"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":["Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"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":["Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Heinrich Hertz Institute, Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","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":["Heinrich Hertz Institute, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"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":0.397,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.64965699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9997000098228455,"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"}},{"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/computer-science","display_name":"Computer science","score":0.7666621804237366},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6397527456283569},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5825316309928894},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5781660676002502},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5682883262634277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5332286953926086},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4973476231098175},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4717705249786377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4597070813179016},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2642904818058014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12088274955749512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666621804237366},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6397527456283569},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5825316309928894},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5781660676002502},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5682883262634277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5332286953926086},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4973476231098175},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4717705249786377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4597070813179016},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2642904818058014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12088274955749512},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2019.8802925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8802925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-629340","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-629340.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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer HHI","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/411009","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/411009","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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1973207880","https://openalex.org/W1994352448","https://openalex.org/W2042720142","https://openalex.org/W2069277547","https://openalex.org/W2090616925","https://openalex.org/W2118026048","https://openalex.org/W2131799447","https://openalex.org/W2140199336","https://openalex.org/W2144720595","https://openalex.org/W2146395539","https://openalex.org/W2161907179","https://openalex.org/W2204760940","https://openalex.org/W2296170385","https://openalex.org/W2468053893","https://openalex.org/W2517760368","https://openalex.org/W2560886329","https://openalex.org/W2793628756","https://openalex.org/W2892032587","https://openalex.org/W2905530235","https://openalex.org/W2945332479","https://openalex.org/W6757175168"],"related_works":["https://openalex.org/W2104432455","https://openalex.org/W2005185696","https://openalex.org/W2161229648","https://openalex.org/W2235753890","https://openalex.org/W2066404474","https://openalex.org/W2166035296","https://openalex.org/W2166032757","https://openalex.org/W2393064054","https://openalex.org/W2284638900","https://openalex.org/W3159128980"],"abstract_inverted_index":{"Bit-allocation":[0],"based":[1,39],"on":[2,40,94],"the":[3,33,41,104],"MSE":[4],"is":[5,73,88],"computationally":[6,52],"convenient":[7],"in":[8,63],"image":[9,64],"and":[10,65,93,113],"video":[11,66],"compression,":[12],"but":[13],"leads":[14,50],"to":[15,31,51,103,109,116],"perceptually":[16],"suboptimal":[17],"compression":[18],"results.":[19],"Distortion":[20],"sensitivity,":[21],"modeled":[22],"as":[23],"a":[24,76],"reference":[25],"specific":[26],"property,":[27],"can":[28],"be":[29],"used":[30],"improve":[32],"accuracy":[34],"of":[35,56,61,84,106],"perceptual":[36,54,118],"quality":[37],"prediction":[38],"MSE.":[42],"This":[43],"paper":[44],"shows":[45,97],"how":[46],"distortion":[47,71,85],"sensitivity":[48,72],"directly":[49],"beneficial":[53],"optimization":[55],"irrelevance":[57],"reduction":[58],"and,":[59],"thereby,":[60],"bit-allocation":[62,87,112,119],"compression.":[67],"To":[68],"this":[69],"end":[70],"estimated":[74],"using":[75,91],"deep":[77],"convolutional":[78],"neural":[79],"network.":[80],"The":[81],"proposed":[82],"method":[83],"sensitive":[86],"evaluated":[89],"experimentally":[90],"HEVC":[92],"our":[95],"testset":[96],"average":[98],"bit-rate":[99],"reductions":[100],"with":[101],"regard":[102],"MOS":[105],"15.9%":[107],"compared":[108,115],"constant":[110],"QP-based":[111],"7.3%":[114],"state-of-the-art":[117],"schemes.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
