{"id":"https://openalex.org/W3115657431","doi":"https://doi.org/10.1109/mmsp48831.2020.9287082","title":"Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution","display_name":"Variable-Rate Multi-Frequency Image Compression using Modulated Generalized Octave Convolution","publication_year":2020,"publication_date":"2020-09-21","ids":{"openalex":"https://openalex.org/W3115657431","doi":"https://doi.org/10.1109/mmsp48831.2020.9287082","mag":"3115657431"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp48831.2020.9287082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp48831.2020.9287082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)","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/A5011995262","display_name":"Jianping Lin","orcid":"https://orcid.org/0000-0001-6930-3104"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]},{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CA","CN"],"is_corresponding":true,"raw_author_name":"Jianping Lin","raw_affiliation_strings":["University of Science and Technology of China and Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China and Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758","https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019919020","display_name":"Mohammad Akbari","orcid":"https://orcid.org/0000-0002-5663-3101"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad Akbari","raw_affiliation_strings":["Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045288861","display_name":"Haisheng Fu","orcid":"https://orcid.org/0000-0001-8709-5927"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haisheng Fu","raw_affiliation_strings":["Xi\u2019an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401663","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0002-6455-3371"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Xi\u2019an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346391","display_name":"Shang Wang","orcid":"https://orcid.org/0000-0003-4962-9531"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang Wang","raw_affiliation_strings":["Xi\u2019an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108166775","display_name":"Jie Liang","orcid":"https://orcid.org/0000-0003-3003-4343"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jie Liang","raw_affiliation_strings":["Simon Fraser University, Canada"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407381","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0001-9100-2906"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["University of Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067631851","display_name":"Feng Liang","orcid":"https://orcid.org/0000-0002-9393-6224"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liang","raw_affiliation_strings":["Xi\u2019an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088739970","display_name":"Guohe Zhang","orcid":"https://orcid.org/0000-0001-8092-8009"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohe Zhang","raw_affiliation_strings":["Xi\u2019an Jiaotong University, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069131054","display_name":"Chengjie Tu","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengjie Tu","raw_affiliation_strings":["Tencent Technologies, China"],"affiliations":[{"raw_affiliation_string":"Tencent Technologies, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5011995262"],"corresponding_institution_ids":["https://openalex.org/I126520041","https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":1.1724,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.81728507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11105","display_name":"Advanced Image Processing Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/octave","display_name":"Octave (electronics)","score":0.7571967840194702},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7029374241828918},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4900892972946167},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4857211709022522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47007066011428833},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.43028926849365234},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4176045060157776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33761656284332275},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2310989797115326},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.20908936858177185},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.1798313856124878},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13954436779022217},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10140210390090942}],"concepts":[{"id":"https://openalex.org/C85841341","wikidata":"https://www.wikidata.org/wiki/Q1135984","display_name":"Octave (electronics)","level":2,"score":0.7571967840194702},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7029374241828918},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4900892972946167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4857211709022522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47007066011428833},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.43028926849365234},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4176045060157776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33761656284332275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2310989797115326},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.20908936858177185},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.1798313856124878},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13954436779022217},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10140210390090942},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp48831.2020.9287082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp48831.2020.9287082","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2099563019","https://openalex.org/W2146395539","https://openalex.org/W2785562966","https://openalex.org/W2892278106","https://openalex.org/W2949361041","https://openalex.org/W2964098744","https://openalex.org/W2982853315","https://openalex.org/W2988396473","https://openalex.org/W3008242406","https://openalex.org/W6754634825","https://openalex.org/W6773958791"],"related_works":["https://openalex.org/W3006286228","https://openalex.org/W2010451527","https://openalex.org/W2002366964","https://openalex.org/W3159174161","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2085126320","https://openalex.org/W4249094544","https://openalex.org/W2091649408","https://openalex.org/W3196064807"],"abstract_inverted_index":{"In":[0,92,144],"this":[1],"proposal,":[2],"we":[3,94],"design":[4],"a":[5,96],"learned":[6],"multi-frequency":[7],"image":[8],"compression":[9],"approach":[10],"that":[11,133],"uses":[12],"generalized":[13,57],"octave":[14,53,58,62],"convolutions":[15],"to":[16,45,50,103,117,154],"factorize":[17],"the":[18,29,41,51,55,74,82,90,100,106,111,115,119,124,134],"latent":[19],"representations":[20],"into":[21],"high-frequency":[22],"(HF)":[23],"and":[24,28,61,76,84],"low-frequency":[25],"(LF)":[26],"components,":[27,37,86],"LF":[30,85],"components":[31],"have":[32],"lower":[33],"resolution":[34],"than":[35,142],"HF":[36,83],"which":[38,87,113],"can":[39],"improve":[40,89],"rate-distortion":[42],"performance,":[43],"similar":[44,153],"wavelet":[46],"transform.":[47],"Moreover,":[48],"compared":[49],"original":[52],"convolution,":[54],"proposed":[56,135],"convolution":[59],"(GoConv)":[60],"transposed-convolution":[63],"(GoTConv)":[64],"with":[65,127],"internal":[66,107],"activation":[67],"layers":[68],"preserve":[69],"more":[70,78],"spatial":[71],"structure":[72],"of":[73,123,146],"information,":[75],"enable":[77],"effective":[79],"filtering":[80],"between":[81],"further":[88],"performance.":[91],"addition,":[93],"develop":[95],"variable-rate":[97],"scheme":[98,116,136,150],"using":[99],"Lagrangian":[101],"parameter":[102],"modulate":[104],"all":[105],"feature":[108],"maps":[109],"in":[110],"autoencoder,":[112],"allows":[114],"achieve":[118],"large":[120],"bitrate":[121],"range":[122],"JPEG":[125],"AI":[126],"only":[128],"three":[129],"models.":[130],"Experiments":[131],"show":[132],"achieves":[137],"much":[138],"better":[139],"Y":[140],"MS-SSIM":[141],"VVC.":[143],"terms":[145],"YUV":[147],"PSNR,":[148],"our":[149],"is":[151],"very":[152],"HEVC.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
