{"id":"https://openalex.org/W7161146810","doi":"https://doi.org/10.1109/dcc66757.2026.00036","title":"Variable Rate Image Compression Guided by Cross-Image Semantics in Visual in-Context","display_name":"Variable Rate Image Compression Guided by Cross-Image Semantics in Visual in-Context","publication_year":2026,"publication_date":"2026-03-24","ids":{"openalex":"https://openalex.org/W7161146810","doi":"https://doi.org/10.1109/dcc66757.2026.00036"},"language":null,"primary_location":{"id":"doi:10.1109/dcc66757.2026.00036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","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/A5134104516","display_name":"Jiaxuan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxuan Li","raw_affiliation_strings":["&#x002A;Xidian University,Xi&#x0027;an,Shaanxi,China,710126"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"&#x002A;Xidian University,Xi&#x0027;an,Shaanxi,China,710126","institution_ids":["https://openalex.org/I4210141776","https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013772998","display_name":"Dahua Gao","orcid":"https://orcid.org/0000-0002-0900-0483"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dahua Gao","raw_affiliation_strings":["&#x002A;Xidian University,Xi&#x0027;an,Shaanxi,China,710126"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"&#x002A;Xidian University,Xi&#x0027;an,Shaanxi,China,710126","institution_ids":["https://openalex.org/I4210141776","https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047736261","display_name":"Minxi Yang","orcid":"https://orcid.org/0000-0002-0951-9672"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I4210141776","display_name":"China XD Group (China)","ror":"https://ror.org/04ceqst84","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141776"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minxi Yang","raw_affiliation_strings":["&#x002A;Xidian University,Xi&#x0027;an,Shaanxi,China,710126"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"&#x002A;Xidian University,Xi&#x0027;an,Shaanxi,China,710126","institution_ids":["https://openalex.org/I4210141776","https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5134104516"],"corresponding_institution_ids":["https://openalex.org/I149594827","https://openalex.org/I4210141776"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.94444444,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"282","last_page":"291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.8014000058174133,"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":0.8014000058174133,"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/T11439","display_name":"Video Analysis and Summarization","score":0.058400001376867294,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.033900000154972076,"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/image-compression","display_name":"Image compression","score":0.5113999843597412},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5002999901771545},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4629000127315521},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44429999589920044},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4341000020503998},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4214000105857849},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3434999883174896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6230000257492065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5794000029563904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5613999962806702},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5113999843597412},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5002999901771545},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44429999589920044},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.3375000059604645},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3027999997138977},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25839999318122864},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dcc66757.2026.00036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dcc66757.2026.00036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Data Compression Conference (DCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6572222430","display_name":null,"funder_award_id":"62476206,62293483,62506281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Existing":[0],"image":[1,10,39,117],"compression":[2,18,40,46,87],"models":[3],"often":[4],"lack":[5],"personalization":[6],"capabilities,":[7],"treating":[8],"all":[9],"regions":[11],"equally":[12],"and":[13,76,104,115,137],"failing":[14],"to":[15,61,79,99],"meet":[16],"the":[17,82,86,129,144],"needs":[19],"of":[20,26,85],"different":[21],"users":[22],"for":[23],"specific":[24],"Regions":[25],"Interest":[27],"(ROI).":[28],"To":[29],"address":[30],"this":[31],"challenge,":[32],"we":[33,90],"propose":[34],"an":[35],"innovative":[36],"variable":[37],"rate":[38],"framework":[41],"that":[42,122],"achieves":[43],"user-centric":[44],"dynamic":[45],"by":[47],"introducing":[48],"visual":[49,59,72],"in-context":[50],"learning.":[51],"Our":[52],"method":[53,124],"extracts":[54],"cross-image":[55],"semantics":[56],"from":[57],"user-provided":[58],"examples":[60],"understand":[62],"their":[63],"intent.":[64],"This":[65],"semantic":[66,73,103],"information":[67],"is":[68],"then":[69],"converted":[70],"into":[71],"query":[74],"tokens":[75],"spatial":[77,105],"masks":[78],"effectively":[80],"guide":[81],"bit":[83],"allocation":[84],"model.":[88,146],"Furthermore,":[89],"design":[91],"a":[92,109,132,138],"novel":[93],"Semantic":[94],"Spatial":[95],"Control":[96],"Block":[97],"(SSCB)":[98],"fully":[100],"leverage":[101],"these":[102],"cues,":[106],"thereby":[107],"achieving":[108,131],"balance":[110],"between":[111],"preserving":[112],"user-specified":[113],"details":[114],"overall":[116],"quality.":[118],"Experimental":[119],"results":[120],"demonstrate":[121],"our":[123],"significantly":[125],"improves":[126],"performance":[127],"on":[128],"ROI,":[130],"31.54":[133],"%":[134],"BD-Rate":[135],"reduction":[136],"2.7479":[139],"dB":[140],"BD-PSNR":[141],"gain":[142],"over":[143],"baseline":[145]},"counts_by_year":[],"updated_date":"2026-05-16T06:04:12.930555","created_date":"2026-05-15T00:00:00"}
