{"id":"https://openalex.org/W4406459202","doi":"https://doi.org/10.1109/bigdata62323.2024.10825013","title":"Identifying Outliers in AI-based Image Compression","display_name":"Identifying Outliers in AI-based Image Compression","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459202","doi":"https://doi.org/10.1109/bigdata62323.2024.10825013"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825013","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 Big Data (BigData)","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/A5067111830","display_name":"Rizwan A. Ashraf","orcid":"https://orcid.org/0000-0003-4477-0042"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rizwan A. Ashraf","raw_affiliation_strings":["Pacific Northwest National Laboratory,Richland,Washington,United States"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory,Richland,Washington,United States","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026765811","display_name":"Luanzheng Guo","orcid":"https://orcid.org/0000-0001-8266-0923"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luanzheng Guo","raw_affiliation_strings":["Pacific Northwest National Laboratory,Richland,Washington,United States"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory,Richland,Washington,United States","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010460625","display_name":"Hyungro Lee","orcid":"https://orcid.org/0000-0002-4221-7094"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyungro Lee","raw_affiliation_strings":["Pacific Northwest National Laboratory,Richland,Washington,United States"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory,Richland,Washington,United States","institution_ids":["https://openalex.org/I142606810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047746050","display_name":"Nathan R. Tallent","orcid":"https://orcid.org/0000-0003-4297-3057"},"institutions":[{"id":"https://openalex.org/I142606810","display_name":"Pacific Northwest National Laboratory","ror":"https://ror.org/05h992307","country_code":"US","type":"facility","lineage":["https://openalex.org/I1325736334","https://openalex.org/I1330989302","https://openalex.org/I142606810","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan R. Tallent","raw_affiliation_strings":["Pacific Northwest National Laboratory,Richland,Washington,United States"],"affiliations":[{"raw_affiliation_string":"Pacific Northwest National Laboratory,Richland,Washington,United States","institution_ids":["https://openalex.org/I142606810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5067111830"],"corresponding_institution_ids":["https://openalex.org/I142606810"],"apc_list":null,"apc_paid":null,"fwci":0.3445,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70175663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8611","last_page":"8613"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9934999942779541,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7124070525169373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6144818663597107},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5902319550514221},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5606151223182678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5283458828926086},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48389920592308044},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4803153872489929},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.47917190194129944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3977344036102295},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24541813135147095},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.060789287090301514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124070525169373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6144818663597107},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5902319550514221},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5606151223182678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5283458828926086},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48389920592308044},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4803153872489929},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.47917190194129944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3977344036102295},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24541813135147095},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.060789287090301514},{"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/bigdata62323.2024.10825013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825013","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 Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306250","display_name":"Battelle","ror":"https://ror.org/01h5tnr73"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1995443851","https://openalex.org/W2133665775","https://openalex.org/W2134923629","https://openalex.org/W2336788611","https://openalex.org/W2785562966","https://openalex.org/W2964098744","https://openalex.org/W3017136408","https://openalex.org/W3097448661","https://openalex.org/W3200552577","https://openalex.org/W4287605633","https://openalex.org/W4404089314","https://openalex.org/W6703470281","https://openalex.org/W6856712200","https://openalex.org/W6873187529"],"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":{"Image":[0],"compression":[1,24,43],"using":[2,58,84],"artificial":[3],"intelligence":[4],"(AI)":[5],"is":[6,28,36],"gaining":[7],"importance":[8],"in":[9],"scientific":[10],"research,":[11],"where":[12,42],"instruments":[13],"and":[14,77,103,106],"simulations":[15],"can":[16],"produce":[17],"hundreds":[18],"of":[19,40],"images":[20],"per":[21],"second.":[22],"Effective":[23],"with":[25],"high":[26],"ratios":[27],"essential":[29],"for":[30,63],"facilitating":[31],"discoveries.":[32],"A":[33],"key":[34],"challenge":[35],"the":[37],"automatic":[38],"detection":[39],"outliers\u2014cases":[41],"fails":[44],"or":[45],"significant":[46],"phenomena":[47],"are":[48],"present.":[49],"To":[50],"address":[51],"this,":[52],"we":[53],"developed":[54],"a":[55],"consensus-driven":[56],"methodology":[57],"unsupervised":[59],"machine":[60],"learning":[61],"techniques":[62],"identifying":[64,81],"outlier":[65],"compressed":[66],"images.":[67],"We":[68],"evaluated":[69],"our":[70],"approach":[71],"on":[72],"unlabeled":[73],"datasets,":[74],"including":[75],"microscopy":[76],"X-ray":[78],"images,":[79],"successfully":[80],"multiple":[82],"outliers":[83],"metrics":[85],"such":[86],"as":[87],"peak":[88],"signal-to-noise":[89],"ratio":[90],"(PSNR),":[91],"structural":[92,97,107],"similarity":[93,99,109],"index":[94,100,110],"measure":[95,101],"(SSIM),":[96],"texture":[98,108],"(STSIM)":[102],"deep":[104],"image":[105],"(DISTS).":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}