{"id":"https://openalex.org/W2801908857","doi":"https://doi.org/10.1109/icassp.2018.8462292","title":"Deep Learning for Predicting Image Memorability","display_name":"Deep Learning for Predicting Image Memorability","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2801908857","doi":"https://doi.org/10.1109/icassp.2018.8462292","mag":"2801908857"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01629297","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021304846","display_name":"Hammad Squalli-Houssaini","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hammad Squalli-Houssaini","raw_affiliation_strings":["Technicolor, Cesson-Sevigne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor, Cesson-Sevigne, France","institution_ids":["https://openalex.org/I4210121266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041584595","display_name":"Ngoc Q. K. Duong","orcid":"https://orcid.org/0000-0002-7627-8194"},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ngoc Q. K. Duong","raw_affiliation_strings":["Technicolor, Cesson-Sevigne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor, Cesson-Sevigne, France","institution_ids":["https://openalex.org/I4210121266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114506980","display_name":"Marquant Gwenaelle","orcid":null},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marquant Gwenaelle","raw_affiliation_strings":["Technicolor, Cesson-Sevigne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor, Cesson-Sevigne, France","institution_ids":["https://openalex.org/I4210121266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065394305","display_name":"Claire-H\u00e9l\u00e8ne Demarty","orcid":"https://orcid.org/0000-0001-6549-584X"},"institutions":[{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claire-Helene Demarty","raw_affiliation_strings":["Technicolor, Cesson-Sevigne, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technicolor, Cesson-Sevigne, France","institution_ids":["https://openalex.org/I4210121266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210121266"],"apc_list":null,"apc_paid":null,"fwci":2.7334,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.94335303,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2371","last_page":"2375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":1.0,"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":0.9976999759674072,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.994700014591217,"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":0.8783878087997437},{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.7700369954109192},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7592902183532715},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7503160834312439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.680303692817688},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6497210264205933},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5980641841888428},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5775325894355774},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5479809641838074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.491820365190506},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4788893759250641},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46852749586105347},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46730709075927734},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45236700773239136},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44301745295524597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4196245074272156}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8783878087997437},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.7700369954109192},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7592902183532715},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7503160834312439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.680303692817688},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6497210264205933},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5980641841888428},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5775325894355774},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5479809641838074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.491820365190506},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4788893759250641},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46852749586105347},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46730709075927734},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45236700773239136},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44301745295524597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4196245074272156},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2018.8462292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01629297v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01629297","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Canada","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01629297v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01629297","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Canada","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1093701151","https://openalex.org/W1419345063","https://openalex.org/W1527575280","https://openalex.org/W1686810756","https://openalex.org/W1963356639","https://openalex.org/W2009627211","https://openalex.org/W2012013620","https://openalex.org/W2022872918","https://openalex.org/W2039355801","https://openalex.org/W2040141351","https://openalex.org/W2054901814","https://openalex.org/W2068419217","https://openalex.org/W2079154771","https://openalex.org/W2097430540","https://openalex.org/W2131759478","https://openalex.org/W2138769072","https://openalex.org/W2142978433","https://openalex.org/W2151009539","https://openalex.org/W2158155099","https://openalex.org/W2203368333","https://openalex.org/W2219771564","https://openalex.org/W2462010574","https://openalex.org/W2573570971","https://openalex.org/W2737892551","https://openalex.org/W6631516269","https://openalex.org/W6637373629","https://openalex.org/W6653249693","https://openalex.org/W6660398690","https://openalex.org/W6683512102","https://openalex.org/W6688061145","https://openalex.org/W6688894031","https://openalex.org/W6732130600"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W4238897586","https://openalex.org/W2775506363","https://openalex.org/W3088136942","https://openalex.org/W435179959","https://openalex.org/W4290852288","https://openalex.org/W2619091065","https://openalex.org/W2949362007","https://openalex.org/W4283207562","https://openalex.org/W4399485860"],"abstract_inverted_index":{"Memorability":[0],"of":[1,46,94,107,130],"media":[2],"content":[3],"such":[4],"as":[5],"images":[6],"and":[7,56,68,97,128],"videos":[8],"has":[9],"recently":[10],"become":[11],"an":[12],"important":[13],"research":[14],"subject":[15],"in":[16],"computer":[17],"vision.":[18],"This":[19],"paper":[20],"presents":[21],"our":[22,70,108],"computation":[23],"model":[24,71,86,109,118],"for":[25,38,63],"predicting":[26],"image":[27,61],"memorability,":[28],"which":[29],"is":[30],"based":[31,53],"on":[32,72,110,119],"a":[33,39],"deep":[34],"learning":[35],"architecture":[36],"designed":[37],"classification":[40],"task.":[41,65],"We":[42,66,102],"exploit":[43],"the":[44,64,73,83,92,95,105,117,124],"use":[45],"both":[47],"convolutional":[48],"neural":[49],"network":[50],"(CNN)":[51],"-":[52],"visual":[54],"features":[55,58],"semantic":[57],"related":[59],"to":[60],"captioning":[62],"train":[67],"test":[69],"large-scale":[74],"benchmarking":[75],"memorability":[76,112,127],"dataset:":[77],"LaMem.":[78],"Experiment":[79],"result":[80],"shows":[81],"that":[82],"proposed":[84],"computational":[85],"obtains":[87],"better":[88],"prediction":[89],"performance":[90],"than":[91],"state":[93],"art,":[96],"even":[98],"outperforms":[99],"human":[100],"consistency.":[101],"further":[103],"investigate":[104],"genericity":[106],"other":[111],"datasets.":[113],"Finally,":[114],"by":[115],"validating":[116],"interestingness":[120,129],"datasets,":[121],"we":[122],"reconfirm":[123],"uncorrelation":[125],"between":[126],"images.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":3}],"updated_date":"2026-08-03T07:22:36.454288","created_date":"2025-10-10T00:00:00"}
