{"id":"https://openalex.org/W2964960348","doi":"https://doi.org/10.1145/3338472.3338479","title":"Review of Image Memorability Prediction","display_name":"Review of Image Memorability Prediction","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2964960348","doi":"https://doi.org/10.1145/3338472.3338479","mag":"2964960348"},"language":"en","primary_location":{"id":"doi:10.1145/3338472.3338479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338472.3338479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Graphics and Signal Processing","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/A5100454052","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-0750-1030"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115694876","display_name":"Doudou Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dou-Dou Wang","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102932665","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0001-9070-6653"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101644047","display_name":"Haoyang Zhang","orcid":"https://orcid.org/0000-0001-6848-0563"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao-Yang Zhang","raw_affiliation_strings":["Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100454052"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06884544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9879000186920166,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9865000247955322,"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":0.7506051063537598},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6479650735855103},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6226874589920044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.582403838634491},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5258222818374634},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4782218635082245},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4556241035461426},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.428009033203125},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41562458872795105},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.41500163078308105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4042251706123352},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34424859285354614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3413556218147278},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14061710238456726},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08557364344596863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506051063537598},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6479650735855103},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6226874589920044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.582403838634491},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5258222818374634},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4782218635082245},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4556241035461426},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.428009033203125},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41562458872795105},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.41500163078308105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4042251706123352},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34424859285354614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3413556218147278},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14061710238456726},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08557364344596863},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3338472.3338479","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338472.3338479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Graphics and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1093701151","https://openalex.org/W1531904454","https://openalex.org/W1963356639","https://openalex.org/W1982522767","https://openalex.org/W2009627211","https://openalex.org/W2017814585","https://openalex.org/W2063794147","https://openalex.org/W2067816745","https://openalex.org/W2078566374","https://openalex.org/W2097430540","https://openalex.org/W2110764733","https://openalex.org/W2117539524","https://openalex.org/W2131759478","https://openalex.org/W2134670479","https://openalex.org/W2142978433","https://openalex.org/W2153635508","https://openalex.org/W2219771564","https://openalex.org/W2288014083","https://openalex.org/W2526640289","https://openalex.org/W2566349545","https://openalex.org/W2605875579","https://openalex.org/W2736911226","https://openalex.org/W2763472054","https://openalex.org/W2765444682","https://openalex.org/W4365799978"],"related_works":["https://openalex.org/W2560936962","https://openalex.org/W2788727012","https://openalex.org/W4388203630","https://openalex.org/W2526386912","https://openalex.org/W2410591377","https://openalex.org/W4293226380","https://openalex.org/W2323113755","https://openalex.org/W2090763504","https://openalex.org/W2506793457","https://openalex.org/W2964954556"],"abstract_inverted_index":{"With":[0],"the":[1,20,46,92,98,107,112,123,128,137,141,180],"development":[2],"of":[3,28,31,48,62,94,111,127,130,150,183],"information":[4],"technology":[5],"and":[6,19,51,59,64,78,85,101,109,125,140,167,171,188],"networks,":[7],"images":[8,63],"can":[9,65,79],"be":[10,66,80],"seen":[11],"everywhere":[12],"in":[13,34,156],"life.":[14],"When":[15],"people":[16],"browse":[17],"magazines":[18],"Internet,":[21],"they":[22],"come":[23],"into":[24],"contact":[25],"with":[26],"thousands":[27],"images,":[29],"some":[30],"which":[32],"remain":[33],"people's":[35],"memories,":[36],"while":[37],"others":[38],"are":[39,103,146],"forgotten.":[40],"Isola":[41],"et":[42],"al.":[43],"first":[44],"proposed":[45],"concept":[47,129],"image":[49,54,95,116,131,138,152,177,184],"memorability":[50,55,72,96,117,139,153,185],"proved":[52],"that":[53,135,175],"is":[56,154,160,186],"an":[57],"intrinsic":[58],"stable":[60],"attribute":[61],"shared":[67],"among":[68],"different":[69,173],"viewers.":[70],"Image":[71],"prediction":[73,149,159],"has":[74],"important":[75],"research":[76,93],"value":[77],"applied":[81],"to":[82,90,115],"education,":[83],"advertising":[84],"other":[86],"fields.":[87],"In":[88],"order":[89],"promote":[91],"prediction,":[97,118],"main":[99],"theories":[100],"methods":[102,142],"summarized.":[104],"Based":[105],"on":[106,163],"comparison":[108],"analysis":[110],"literatures":[113],"related":[114],"this":[119],"paper":[120],"firstly":[121],"reviews":[122],"proposal":[124],"quantification":[126],"memorability.":[132,178],"The":[133,148,158],"features":[134,145,174],"affect":[136,176],"for":[143],"extracting":[144],"analyzed.":[147],"predictive":[151],"introduced":[155],"detail.":[157],"constructed":[161],"based":[162],"Support":[164],"Vector":[165],"Machine":[166],"Convolution":[168],"Neural":[169],"Network":[170],"using":[172],"Finally,":[179],"future":[181],"work":[182],"summarized":[187],"forecasted.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
