{"id":"https://openalex.org/W4403791642","doi":"https://doi.org/10.1145/3664647.3680819","title":"Prior Metadata-Driven RAW Reconstruction: Eliminating the Need for Per-Image Metadata","display_name":"Prior Metadata-Driven RAW Reconstruction: Eliminating the Need for Per-Image Metadata","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403791642","doi":"https://doi.org/10.1145/3664647.3680819"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3680819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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/A5083325591","display_name":"Wencheng Han","orcid":null},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]},{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Wencheng Han","raw_affiliation_strings":["SKL-IOTSC, CIS, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"SKL-IOTSC, CIS, University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020541871","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0002-0492-2489"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["SenseTime Research and Tetras.AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research and Tetras.AI, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112682961","display_name":"Yang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["SenseTime Research and Tetras.AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research and Tetras.AI, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451376","display_name":"Wentao Liu","orcid":"https://orcid.org/0000-0001-6587-9878"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Liu","raw_affiliation_strings":["SenseTime Research and Tetras.AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research and Tetras.AI, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657544","display_name":"Chen Qian","orcid":"https://orcid.org/0000-0002-8761-5563"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Qian","raw_affiliation_strings":["SenseTime Research and Tetras.AI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SenseTime Research and Tetras.AI, Beijing, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012773300","display_name":"Chengzhong Xu","orcid":"https://orcid.org/0000-0001-9480-0356"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Cheng-zhong Xu","raw_affiliation_strings":["SKL-IOTSC, CIS, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"SKL-IOTSC, CIS, University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101404956","display_name":"Jianbing Shen","orcid":"https://orcid.org/0000-0003-1883-2086"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jianbing Shen","raw_affiliation_strings":["SKL-IOTSC, CIS, University of Macau, Macau, China"],"affiliations":[{"raw_affiliation_string":"SKL-IOTSC, CIS, University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5083325591"],"corresponding_institution_ids":["https://openalex.org/I204512498","https://openalex.org/I6469544"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37328441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6279","last_page":"6287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9638000130653381,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9498999714851379,"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/metadata","display_name":"Metadata","score":0.970253050327301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8024464249610901},{"id":"https://openalex.org/keywords/metadata-repository","display_name":"Metadata repository","score":0.6127225160598755},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5082835555076599},{"id":"https://openalex.org/keywords/meta-data-services","display_name":"Meta Data Services","score":0.47222045063972473},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4585513770580292},{"id":"https://openalex.org/keywords/data-element","display_name":"Data element","score":0.413800984621048}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.970253050327301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8024464249610901},{"id":"https://openalex.org/C153048206","wikidata":"https://www.wikidata.org/wiki/Q3454922","display_name":"Metadata repository","level":3,"score":0.6127225160598755},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5082835555076599},{"id":"https://openalex.org/C136976847","wikidata":"https://www.wikidata.org/wiki/Q6822297","display_name":"Meta Data Services","level":4,"score":0.47222045063972473},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4585513770580292},{"id":"https://openalex.org/C30872290","wikidata":"https://www.wikidata.org/wiki/Q1172389","display_name":"Data element","level":3,"score":0.413800984621048}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3680819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3680819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","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":36,"referenced_works":["https://openalex.org/W1513100184","https://openalex.org/W1970112334","https://openalex.org/W2032478983","https://openalex.org/W2088828956","https://openalex.org/W2133665775","https://openalex.org/W2469102383","https://openalex.org/W2519963891","https://openalex.org/W2792961300","https://openalex.org/W2799265886","https://openalex.org/W2945022361","https://openalex.org/W2952323569","https://openalex.org/W2962360676","https://openalex.org/W2998702515","https://openalex.org/W3034239311","https://openalex.org/W3034504121","https://openalex.org/W3034628923","https://openalex.org/W3035496815","https://openalex.org/W3035635957","https://openalex.org/W3093669949","https://openalex.org/W3118800911","https://openalex.org/W3176101515","https://openalex.org/W3176469911","https://openalex.org/W3177656331","https://openalex.org/W3184597591","https://openalex.org/W3199451736","https://openalex.org/W4283803507","https://openalex.org/W4285483521","https://openalex.org/W4312391632","https://openalex.org/W4312428184","https://openalex.org/W4312480149","https://openalex.org/W4312536154","https://openalex.org/W4378375546","https://openalex.org/W4386075518","https://openalex.org/W4386076560","https://openalex.org/W4386076594","https://openalex.org/W6880580996"],"related_works":["https://openalex.org/W2374379029","https://openalex.org/W2183628870","https://openalex.org/W3084772717","https://openalex.org/W1503116306","https://openalex.org/W2360250168","https://openalex.org/W2372807066","https://openalex.org/W2008531296","https://openalex.org/W2782431616","https://openalex.org/W2373398412","https://openalex.org/W2189603309"],"abstract_inverted_index":{"While":[0],"RAW":[1,23,34,56,71,146,189,200],"images":[2,24,147,161],"are":[3,74],"efficient":[4],"for":[5],"image":[6],"editing":[7],"and":[8,18,81,85,111,195],"perception":[9],"tasks,":[10],"their":[11,166],"large":[12],"size":[13,168],"can":[14,114,137],"strain":[15],"camera":[16,38,97],"storage":[17],"bandwidth.":[19],"Reconstruction":[20],"methods":[21,202],"of":[22,59,77,165],"from":[25,32,69],"sRGB":[26,109],"data":[27,57],"typically":[28],"require":[29],"additional":[30],"metadata":[31,65],"the":[33,55,78,89,96,108,117,139,144,153,158,171,176,187],"image,":[35],"which":[36,73],"increases":[37],"processing":[39,105],"computations.":[40],"To":[41,121],"address":[42],"this":[43,93],"problem,":[44],"we":[45,124,130,156,179],"propose":[46],"using":[47],"Prior":[48,64],"Meta":[49],"as":[50,88,148],"a":[51,126,132,181],"reference":[52,70,145,160],"to":[53,101,162,169,185],"reconstruct":[54,186],"instead":[58],"relying":[60],"on":[61,204],"per-image":[62],"metadata.":[63,205],"is":[66],"extracted":[67],"offline":[68],"images,":[72,110],"usually":[75],"part":[76],"training":[79],"dataset":[80],"have":[82],"similar":[83,141],"scenes":[84],"light":[86],"conditions":[87],"target":[90],"image.":[91],"With":[92],"prior":[94,119,149],"metadata,":[95],"does":[98],"not":[99],"need":[100],"provide":[102],"any":[103],"extra":[104],"other":[106],"than":[107,199],"our":[112],"model":[113,192],"autonomously":[115],"find":[116,138],"desired":[118],"information.":[120,150],"achieve":[122],"this,":[123],"design":[125],"three-step":[127],"pipeline.":[128],"First,":[129],"build":[131],"pixel":[133],"searching":[134,172],"network":[135,183],"that":[136],"most":[140],"pixels":[142],"in":[143,152,175],"Then,":[151],"second":[154],"step,":[155,178],"compress":[157],"large-scale":[159],"about":[163],"0.02%":[164],"original":[167],"reduce":[170],"cost.":[173],"Finally,":[174],"last":[177],"develop":[180],"neural":[182],"reconstructor":[184],"high-fidelity":[188],"images.":[190],"Our":[191],"achieves":[193],"comparable,":[194],"even":[196],"better,":[197],"performance":[198],"reconstruction":[201],"based":[203]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}