{"id":"https://openalex.org/W2063794147","doi":"https://doi.org/10.1145/2502081.2502198","title":"Relative spatial features for image memorability","display_name":"Relative spatial features for image memorability","publication_year":2013,"publication_date":"2013-10-21","ids":{"openalex":"https://openalex.org/W2063794147","doi":"https://doi.org/10.1145/2502081.2502198","mag":"2063794147"},"language":"en","primary_location":{"id":"doi:10.1145/2502081.2502198","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502081.2502198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Multimedia","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/A5100645774","display_name":"Jong-Pil Kim","orcid":"https://orcid.org/0000-0002-8490-3391"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jongpil Kim","raw_affiliation_strings":["Rutgers, The State University of New Jersey, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers, The State University of New Jersey, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039123069","display_name":"Sejong Yoon","orcid":"https://orcid.org/0000-0003-1012-283X"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sejong Yoon","raw_affiliation_strings":["Rutgers, The State University of New Jersey, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers, The State University of New Jersey, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020368096","display_name":"Vladimir Pavlovi\u0107","orcid":"https://orcid.org/0000-0003-3979-1236"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Pavlovic","raw_affiliation_strings":["Rutgers, The State University of New Jersey, Piscataway, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers, The State University of New Jersey, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100645774"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":2.9937,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.92487973,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"761","last_page":"764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9904999732971191,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7481260895729065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6718085408210754},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6455361247062683},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6231722235679626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5243468880653381},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4487433135509491},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43182167410850525},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3872453570365906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22157034277915955}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481260895729065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6718085408210754},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6455361247062683},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6231722235679626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5243468880653381},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4487433135509491},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43182167410850525},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3872453570365906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22157034277915955},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2502081.2502198","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502081.2502198","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W2009627211","https://openalex.org/W2017814585","https://openalex.org/W2067816745","https://openalex.org/W2080754665","https://openalex.org/W2089720846","https://openalex.org/W2123020895","https://openalex.org/W2131759478","https://openalex.org/W2142978433","https://openalex.org/W2144502914","https://openalex.org/W2153635508","https://openalex.org/W2158155099","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2168356304","https://openalex.org/W6667352130","https://openalex.org/W6678463710"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2998542275"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"in":[2,39],"image":[3,11,51,59,71,91,136],"memorability":[4,8,28,65,72,92,148],"showed":[5],"that":[6,38,85,103,118,140,155],"the":[7,24,50,58,90,98,106,113,120,124,135,147,156],"of":[9,27,49,64,70,110,123,126,163],"an":[10],"is":[12,17],"a":[13,42,67],"measurable":[14],"quantity":[15],"and":[16,73,108,112,143],"closely":[18,87],"correlated":[19,56,88],"with":[20,57,89,134],"semantic":[21],"attributes.":[22],"However,":[23],"intrinsic":[25],"characteristics":[26],"are":[29,86],"not":[30,53],"yet":[31,93],"fully":[32],"understood.":[33],"It":[34],"has":[35],"been":[36],"reported":[37],"contrast":[40],"to":[41],"popular":[43],"belief":[44],"unusualness":[45,122,162],"or":[46],"aesthetic":[47],"beauty":[48],"may":[52],"be":[54],"positively":[55],"memorability.":[60,137],"This":[61],"counter-intuitive":[62],"characteristic":[63],"hinders":[66],"better":[68],"understanding":[69],"its":[74],"applicability.":[75],"In":[76,150],"this":[77],"paper,":[78],"we":[79,152],"investigate":[80],"two":[81],"new":[82],"spatial":[83],"features":[84],"intuitively":[94],"explainable.":[95],"We":[96,128],"propose":[97],"Weighted":[99],"Object":[100],"Area":[101,115],"(WOA)":[102],"jointly":[104],"considers":[105],"location":[107],"size":[109,125],"objects":[111],"Relative":[114],"Rank":[116],"(RAR)":[117],"captures":[119],"relative":[121],"objects.":[127],"empirically":[129],"demonstrate":[130],"their":[131],"useful":[132],"correlation":[133],"Results":[138],"show":[139],"both":[141],"WOA":[142],"RAR":[144,157],"can":[145,158],"improve":[146],"prediction.":[149],"addition,":[151],"provide":[153],"evidence":[154],"effectively":[159],"capture":[160],"object-centric":[161],"size.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
