{"id":"https://openalex.org/W4406859078","doi":"https://doi.org/10.1109/vcip63160.2024.10849897","title":"Frequency-Aware Hierarchical Image Compression for Humans and Machines","display_name":"Frequency-Aware Hierarchical Image Compression for Humans and Machines","publication_year":2024,"publication_date":"2024-12-08","ids":{"openalex":"https://openalex.org/W4406859078","doi":"https://doi.org/10.1109/vcip63160.2024.10849897"},"language":"en","primary_location":{"id":"doi:10.1109/vcip63160.2024.10849897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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/A5103026230","display_name":"Yue Luo","orcid":"https://orcid.org/0000-0003-1118-9040"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Luo","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101885067","display_name":"Zixiang Zhang","orcid":"https://orcid.org/0009-0003-8024-3458"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixiang Zhang","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112990737","display_name":"Jinhao Kuang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhao Kuang","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100739349","display_name":"Li Yu","orcid":"https://orcid.org/0000-0002-5060-2558"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yu","raw_affiliation_strings":["Huazhong University of Science and Technology,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology,Wuhan,China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103026230"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27349842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9688000082969666,"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":0.9688000082969666,"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":0.6780665516853333},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5268346667289734},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.49740174412727356},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4930970370769501},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4580684006214142},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3815496563911438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34598347544670105},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3022058606147766},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10529208183288574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6780665516853333},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5268346667289734},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.49740174412727356},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4930970370769501},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4580684006214142},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3815496563911438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34598347544670105},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3022058606147766},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10529208183288574},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip63160.2024.10849897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip63160.2024.10849897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":22,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2140196014","https://openalex.org/W2146395539","https://openalex.org/W2963150697","https://openalex.org/W2988396473","https://openalex.org/W3034469748","https://openalex.org/W3082548248","https://openalex.org/W3091266734","https://openalex.org/W3186910762","https://openalex.org/W3202918664","https://openalex.org/W4313318654","https://openalex.org/W4376464601","https://openalex.org/W4380534852","https://openalex.org/W4386075611","https://openalex.org/W4386211507","https://openalex.org/W4392931027","https://openalex.org/W4394863049","https://openalex.org/W4404295444","https://openalex.org/W6675207249","https://openalex.org/W6754634825","https://openalex.org/W6773958791","https://openalex.org/W6973812890"],"related_works":["https://openalex.org/W2521595930","https://openalex.org/W4243608781","https://openalex.org/W3165542721","https://openalex.org/W4313046148","https://openalex.org/W1939109514","https://openalex.org/W4378191574","https://openalex.org/W2129829718","https://openalex.org/W1843792225","https://openalex.org/W2751842002","https://openalex.org/W2161981399"],"abstract_inverted_index":{"To":[0],"achieve":[1],"efficient":[2],"compression":[3,49],"for":[4,52,69,80],"both":[5,75],"human":[6],"vision":[7,71,137],"and":[8,54,73,77,101,144],"machine":[9,70,136],"perception,":[10],"scalable":[11,149],"coding":[12,38,133],"methods":[13,22],"have":[14],"been":[15],"proposed":[16,129],"in":[17,36,152],"recent":[18],"years.":[19],"However,":[20],"existing":[21],"do":[23],"not":[24],"fully":[25],"eliminate":[26],"the":[27,84,95,115,128,141],"redundancy":[28],"between":[29,98,117],"features":[30,79,100],"corresponding":[31],"to":[32,93,112,140],"different":[33,118],"tasks,":[34,119],"resulting":[35],"suboptimal":[37],"performance.":[39,123],"In":[40],"this":[41],"paper,":[42],"we":[43,57],"propose":[44],"a":[45,62,105],"frequency-aware":[46],"hierarchical":[47],"image":[48,81,150,155],"framework":[50],"designed":[51,92],"humans":[53],"machines.":[55],"Specifically,":[56],"investigate":[58],"task":[59],"relationships":[60],"from":[61],"frequency":[63],"perspective,":[64],"utilizing":[65],"only":[66],"HF":[67,76,99],"information":[68,96],"tasks":[72,138],"leveraging":[74],"LF":[78,102],"reconstruction.":[82],"Besides,":[83],"residual":[85],"block":[86],"embedded":[87],"octave":[88],"convolution":[89],"module":[90],"is":[91,110],"enhance":[94],"interaction":[97],"features.":[103],"Additionally,":[104],"dual-frequency":[106],"channel-wise":[107],"entropy":[108],"model":[109],"applied":[111],"reasonably":[113],"exploit":[114],"correlation":[116],"thereby":[120],"improving":[121],"multi-task":[122],"The":[124],"experiments":[125],"show":[126],"that":[127],"method":[130],"offers":[131],"-69.3%\u223c-75.3%":[132],"gains":[134,146],"on":[135],"compared":[139],"relevant":[142],"benchmarks,":[143],"-19.1%":[145],"over":[147],"state-of-the-art":[148],"codec":[151],"terms":[153],"of":[154],"reconstruction":[156],"quality.":[157]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}