{"id":"https://openalex.org/W4399418596","doi":"https://doi.org/10.1145/3652583.3657611","title":"CLIP-ProbCR:CLIP-based Probability embedding Combination Retrieval","display_name":"CLIP-ProbCR:CLIP-based Probability embedding Combination Retrieval","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4399418596","doi":"https://doi.org/10.1145/3652583.3657611"},"language":"en","primary_location":{"id":"doi:10.1145/3652583.3657611","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3657611","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3657611","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3657611","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100686151","display_name":"Mingyong Li","orcid":"https://orcid.org/0000-0002-5517-3633"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyong Li","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5517-3633","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088306729","display_name":"Zongwei Zhao","orcid":"https://orcid.org/0009-0003-0376-329X"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongwei Zhao","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0003-0376-329X","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102802968","display_name":"Xiaolong Jiang","orcid":"https://orcid.org/0009-0007-8429-9669"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Jiang","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0007-8429-9669","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101757372","display_name":"Zheng Jiang","orcid":"https://orcid.org/0009-0007-2273-6851"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Jiang","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0007-2273-6851","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100686151"],"corresponding_institution_ids":["https://openalex.org/I126924076"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06959229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1104","last_page":"1109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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/computer-science","display_name":"Computer science","score":0.767744779586792},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6850258111953735},{"id":"https://openalex.org/keywords/divergence-from-randomness-model","display_name":"Divergence-from-randomness model","score":0.637692928314209},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6085824370384216},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5973078608512878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5503824353218079},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5173539519309998},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4900773763656616},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4738852381706238},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4240821301937103},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.4140397310256958},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3691105246543884},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36372238397598267},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12398040294647217}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767744779586792},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6850258111953735},{"id":"https://openalex.org/C149189445","wikidata":"https://www.wikidata.org/wiki/Q5283894","display_name":"Divergence-from-randomness model","level":3,"score":0.637692928314209},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6085824370384216},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5973078608512878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5503824353218079},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5173539519309998},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4900773763656616},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4738852381706238},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4240821301937103},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.4140397310256958},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3691105246543884},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36372238397598267},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12398040294647217},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652583.3657611","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3657611","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3657611","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3652583.3657611","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3657611","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3657611","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399418596.pdf","grobid_xml":"https://content.openalex.org/works/W4399418596.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2560674852","https://openalex.org/W2747623286","https://openalex.org/W2905544595","https://openalex.org/W3010990510","https://openalex.org/W3026458074","https://openalex.org/W3034585290","https://openalex.org/W3172514680","https://openalex.org/W4292793898","https://openalex.org/W4292828970","https://openalex.org/W4379806318","https://openalex.org/W4392908910","https://openalex.org/W4394566113","https://openalex.org/W4394687986","https://openalex.org/W6600769105"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2071180033","https://openalex.org/W1981304974","https://openalex.org/W1571084886","https://openalex.org/W1994880410"],"abstract_inverted_index":{"Based":[0],"on":[1,41,117],"traditional":[2],"content-based":[3],"image":[4],"retrieval,":[5,26],"the":[6,47,93,99,118,125,129,132],"novel":[7],"retrieval":[8,38,101],"approach":[9],"of":[10,49,95,131],"using":[11],"textual":[12],"information":[13,107],"to":[14,18,70,74],"complement":[15],"query":[16],"images":[17,21],"retrieve":[19],"target":[20],"is":[22,115],"called":[23],"text-image":[24],"combination":[25,37],"which":[27,63],"has":[28],"attracted":[29],"considerable":[30],"attention":[31],"in":[32],"recent":[33],"years.":[34],"However,":[35],"existing":[36],"methods":[39,69],"based":[40],"deterministic":[42],"embedding":[43,66],"cannot":[44],"accurately":[45],"measure":[46],"uncertainty":[48,94],"data.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54],"propose":[55],"a":[56],"CLIP-based":[57],"Probabilistic":[58],"Combination":[59],"Retrieval":[60],"model":[61,102],"(CLIP-ProbCR),":[62],"utilizes":[64],"probabilistic":[65],"and":[67,114,122],"combining":[68],"add":[71],"probability":[72,81],"distributions":[73],"features":[75,110],"after":[76],"CLIP":[77],"encoding":[78],"through":[79],"Gaussian":[80],"density":[82],"function":[83],"multiplication":[84],"rule":[85],"for":[86],"feature":[87],"fusion.":[88],"This":[89],"method":[90],"can":[91],"quantify":[92],"instance":[96],"embedding,":[97],"simplifies":[98],"combined":[100],"architecture":[103],"without":[104],"complex":[105],"auxiliary":[106],"with":[108],"multi-level":[109],"or":[111],"large":[112],"architectures,":[113],"validated":[116],"Fashion":[119],"IQ":[120],"dataset":[121],"CIRR":[123],"dataset,":[124],"experimental":[126],"results":[127],"demonstrate":[128],"effectiveness":[130],"proposed":[133],"model.":[134]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
