{"id":"https://openalex.org/W4235345357","doi":"https://doi.org/10.1145/3373419","title":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","display_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W4235345357","doi":"https://doi.org/10.1145/3373419"},"language":"en","primary_location":{"id":"doi:10.1145/3373419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},"type":"paratext","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.8659999966621399,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.8659999966621399,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8652999997138977,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.754800021648407,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6081421375274658},{"id":"https://openalex.org/keywords/theme","display_name":"Theme (computing)","score":0.5870389938354492},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5842454433441162},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.529088020324707},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5184475779533386},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.4725510776042938},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44807931780815125},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.37473952770233154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2796478867530823},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22324690222740173},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.19471019506454468},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1882486343383789},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18075409531593323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11187246441841125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6081421375274658},{"id":"https://openalex.org/C33566652","wikidata":"https://www.wikidata.org/wiki/Q1065927","display_name":"Theme (computing)","level":2,"score":0.5870389938354492},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5842454433441162},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.529088020324707},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5184475779533386},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.4725510776042938},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44807931780815125},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.37473952770233154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2796478867530823},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22324690222740173},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.19471019506454468},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1882486343383789},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18075409531593323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11187246441841125},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4322629366","https://openalex.org/W2808989540","https://openalex.org/W2617449561","https://openalex.org/W2397053934","https://openalex.org/W1039292361","https://openalex.org/W2767632110","https://openalex.org/W2551093110","https://openalex.org/W4247880953","https://openalex.org/W2940628440","https://openalex.org/W4321784540"],"abstract_inverted_index":{"We":[0],"are":[1],"very":[2],"pleased":[3],"to":[4,70,90],"introduce":[5],"the":[6,71,91],"proceedings":[7,62],"of":[8,50,63],"2019":[9,19,39],"3rd":[10],"International":[11,21],"Conference":[12,22],"on":[13,23,84],"Advances":[14,51],"in":[15,33,52],"Image":[16,53],"Processing":[17,54],"and":[18,26,55,58,78,87],"2nd":[20],"Big":[24,56],"Data":[25,57],"Machine":[27,59],"Learning.":[28,60],"The":[29,61,80],"joint":[30,72],"conference":[31,48,73],"held":[32],"Chengdu,":[34],"China":[35],"during":[36],"November":[37],"8-10,":[38],"created":[40],"just":[41],"such":[42],"a":[43],"linkage,":[44],"with":[45],"an":[46],"overarching":[47],"theme":[49],"ICAIP2019":[64],"&":[65],"BDML2019":[66],"present":[67],"papers":[68],"submitted":[69],"from":[74],"universities,":[75],"research":[76],"institutes":[77],"industries.":[79],"papers'":[81],"selection":[82],"depends":[83],"their":[85,88],"quality":[86],"relevancy":[89],"conference.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}