{"id":"https://openalex.org/W4293117873","doi":"https://doi.org/10.1109/icip46576.2022.9897363","title":"Semantic Alignment for Multi-Item Compression","display_name":"Semantic Alignment for Multi-Item Compression","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4293117873","doi":"https://doi.org/10.1109/icip46576.2022.9897363"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897363","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5022743698","display_name":"Tom Bachard","orcid":"https://orcid.org/0009-0000-7043-999X"},"institutions":[{"id":"https://openalex.org/I3124938446","display_name":"Universit\u00e9 Rennes 2","ror":"https://ror.org/01m84wm78","country_code":"FR","type":"education","lineage":["https://openalex.org/I3124938446"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Tom Bachard","raw_affiliation_strings":["Univ Rennes,France","Univ Rennes, France","INRIA, France"],"affiliations":[{"raw_affiliation_string":"Univ Rennes,France","institution_ids":["https://openalex.org/I3124938446","https://openalex.org/I56067802"]},{"raw_affiliation_string":"Univ Rennes, France","institution_ids":["https://openalex.org/I3124938446","https://openalex.org/I56067802"]},{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042565174","display_name":"Anju Jose Tom","orcid":"https://orcid.org/0000-0002-8057-6223"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Anju Jose Tom","raw_affiliation_strings":["INRIA,France","INRIA, France"],"affiliations":[{"raw_affiliation_string":"INRIA,France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011824101","display_name":"Thomas Maugey","orcid":"https://orcid.org/0000-0002-7149-0823"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thomas Maugey","raw_affiliation_strings":["INRIA,France","INRIA, France"],"affiliations":[{"raw_affiliation_string":"INRIA,France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022743698"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I3124938446","https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0705832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"2841","last_page":"2845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9966999888420105,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7879412174224854},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.7042999863624573},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.687079906463623},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.5733438730239868},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5613465309143066},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5528360605239868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4933253824710846},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.47061091661453247},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4428972005844116},{"id":"https://openalex.org/keywords/distributed-source-coding","display_name":"Distributed source coding","score":0.42743781208992004},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4164327383041382},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3881728947162628},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.386383980512619},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36961036920547485},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35918521881103516},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3552144765853882},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.24595066905021667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1966879665851593},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.14193859696388245},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.13397309184074402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11664357781410217},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11464935541152954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7879412174224854},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.7042999863624573},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.687079906463623},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5733438730239868},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5613465309143066},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5528360605239868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4933253824710846},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.47061091661453247},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4428972005844116},{"id":"https://openalex.org/C200801453","wikidata":"https://www.wikidata.org/wiki/Q5283181","display_name":"Distributed source coding","level":4,"score":0.42743781208992004},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4164327383041382},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3881728947162628},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.386383980512619},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36961036920547485},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35918521881103516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3552144765853882},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.24595066905021667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1966879665851593},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.14193859696388245},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.13397309184074402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11664357781410217},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11464935541152954},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897363","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2060658301","https://openalex.org/W2123271629","https://openalex.org/W2129652681","https://openalex.org/W2167359416","https://openalex.org/W2187089797","https://openalex.org/W2777013526","https://openalex.org/W3036682213","https://openalex.org/W3097448661","https://openalex.org/W3134670382","https://openalex.org/W3138152222","https://openalex.org/W3162937989","https://openalex.org/W3202918664","https://openalex.org/W4287605633","https://openalex.org/W6640963894","https://openalex.org/W6780365925"],"related_works":["https://openalex.org/W2898530548","https://openalex.org/W2129829718","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/W2751842002","https://openalex.org/W2161981399"],"abstract_inverted_index":{"Coding":[0],"algorithms":[1],"usually":[2],"compress":[3],"independently":[4],"the":[5,13,20,27,47,56,68,77,101],"images":[6,83],"of":[7,50,71,80,100],"a":[8,36,63,72,96],"collection,":[9],"in":[10],"particular":[11],"when":[12],"correlation":[14],"between":[15],"them":[16],"only":[17],"resides":[18],"at":[19],"semantic":[21,43],"level,":[22],"i.e.,":[23],"information":[24],"related":[25],"to":[26,40,45,66,95],"high-level":[28],"image":[29],"content.":[30],"In":[31],"this":[32,42,92],"work,":[33],"we":[34,54,61,88],"propose":[35],"coding":[37],"solution":[38],"able":[39],"exploit":[41],"redundancy":[44],"decrease":[46],"storage":[48],"cost":[49],"data":[51,102],"collections.":[52],"First":[53],"introduce":[55],"multi-item":[57],"compression":[58],"framework.":[59],"Then":[60],"derive":[62],"loss":[64],"term":[65],"shape":[67],"latent":[69,78],"space":[70],"variational":[73],"auto-encoder":[74],"so":[75],"that":[76,91],"vectors":[79],"semantically":[81],"identical":[82],"can":[84],"be":[85],"aligned.":[86],"Finally,":[87],"experimentally":[89],"demonstrate":[90],"alignment":[93],"leads":[94],"more":[97],"compact":[98],"representation":[99],"collection.":[103]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
