{"id":"https://openalex.org/W2059934139","doi":"https://doi.org/10.1109/icassp.2014.6854415","title":"Investigating and predicting social and visual image interestingness on social media by crowdsourcing","display_name":"Investigating and predicting social and visual image interestingness on social media by crowdsourcing","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2059934139","doi":"https://doi.org/10.1109/icassp.2014.6854415","mag":"2059934139"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5067241596","display_name":"Liang-Chi Hsieh","orcid":"https://orcid.org/0009-0002-6513-984X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang-Chi Hsieh","raw_affiliation_strings":["Graduate Institute of Networking and Multimedia, National Taiwan University","Grad. Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Networking and Multimedia, National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Grad. Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043898632","display_name":"Winston H. Hsu","orcid":"https://orcid.org/0000-0002-3330-0638"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Winston H. Hsu","raw_affiliation_strings":["Graduate Institute of Networking and Multimedia, National Taiwan University","Grad. Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Networking and Multimedia, National Taiwan University","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"Grad. Inst. of Networking & Multimedia, Nat. Taiwan Univ., Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060373173","display_name":"Hao\u2010Chuan Wang","orcid":"https://orcid.org/0000-0003-3295-5111"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hao-Chuan Wang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University","Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University","institution_ids":["https://openalex.org/I25846049"]},{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan#TAB#","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4721,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91524464,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"56","issue":null,"first_page":"4309","last_page":"4313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9948999881744385,"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":0.9948999881744385,"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":0.9868999719619751,"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"}},{"id":"https://openalex.org/T12214","display_name":"Media Influence and Health","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6464743614196777},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5699064135551453},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5632667541503906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5476381778717041},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.517952561378479},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.507311999797821},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5020294189453125},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.480922669172287},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.46148839592933655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45610103011131287},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.34450763463974},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1412661373615265}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6464743614196777},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5699064135551453},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5632667541503906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476381778717041},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.517952561378479},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.507311999797821},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5020294189453125},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.480922669172287},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.46148839592933655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45610103011131287},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34450763463974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1412661373615265},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854415","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854415","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1770446288","https://openalex.org/W2000141706","https://openalex.org/W2009627211","https://openalex.org/W2046882440","https://openalex.org/W2048835603","https://openalex.org/W2071502945","https://openalex.org/W2080754665","https://openalex.org/W2110700950","https://openalex.org/W2113615606","https://openalex.org/W2135957164","https://openalex.org/W2170051899","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W3207526114","https://openalex.org/W4286908577"],"abstract_inverted_index":{"Not":[0],"all":[1],"images":[2,12,129,152,227,254],"are":[3,8,134,153],"interesting":[4,11,89,159],"to":[5,60,156,160,171,187,220],"people.":[6,161],"People":[7],"drawn":[9],"by":[10,71,132,263],"and":[13,49,68,74,103,118,123,147,178,190,193,205,214,223,240,271,274],"ignore":[14],"tasteless":[15],"ones.":[16],"Image":[17],"interestingness":[18,102,117,122,149,192,207,239],"has":[19,36],"the":[20,94,97,107,128,195,234],"importance":[21],"no":[22],"less":[23],"than":[24],"other":[25],"subjective":[26,66],"image":[27,53,87,124,145,169,199,229,238,241],"properties":[28,67],"that":[29,78,127,203,245],"have":[30,80],"received":[31],"significant":[32],"research":[33],"interest,":[34],"but":[35],"not":[37,135],"been":[38],"systematically":[39],"studied":[40],"before.":[41],"In":[42],"this":[43],"work":[44],"we":[45,109,163,232],"focus":[46],"on":[47,57,180,279],"visual":[48,99,121,148,189,206,224],"social":[50,116,172,181,191,204,222,257,280],"aspects":[51,100],"of":[52,101,120,167,226,269],"interestingness.":[54,258],"We":[55,76,92,184,201,243],"rely":[56],"crowdsourcing":[58],"tools":[59],"survey":[61],"human":[62],"perceptions":[63],"for":[64,266],"these":[65],"verify":[69],"data":[70],"analyzing":[72],"consistency":[73],"reliability.":[75],"show":[77,250],"people":[79,133],"an":[81,86,168],"agreement":[82],"when":[83,277],"deciding":[84],"if":[85],"is":[88],"or":[90,138],"not.":[91],"examine":[93],"correlation":[95,114,143,235],"between":[96,115,144,236],"social,":[98],"aesthetics.":[104],"By":[105],"exploring":[106],"correlation,":[108],"find":[110,202,244],"that:":[111],"(1)":[112],"Weak":[113],"both":[119],"aesthetics":[125,146],"indicates":[126],"frequently":[130,252],"re-shared":[131],"necessarily":[136],"aesthetic":[137,151],"visually":[139,158],"interesting.":[140],"(2)":[141],"High":[142],"implies":[150],"more":[154,176,251],"likely":[155],"be":[157,209,261],"Then":[162],"wonder":[164],"what":[165],"features":[166],"lead":[170],"interestingness,":[173],"e.g.":[174],"receiving":[175],"likes":[177],"shares":[179],"networking":[182,281],"sites?":[183],"train":[185],"classifiers":[186],"predict":[188],"investigate":[194,233],"contribution":[196],"from":[197],"different":[198],"features.":[200,230],"can":[208],"best":[210],"predicted":[211],"with":[212,228,247,255],"color":[213],"texture,":[215],"respectively,":[216],"providing":[217],"a":[218],"way":[219],"manipulate":[221],"liking":[225],"Further,":[231],"social/visual":[237],"color.":[242],"colors":[246,270],"arousal":[248],"effect":[249],"in":[253],"higher":[256],"That":[259],"could":[260],"explained":[262],"previous":[264],"studies":[265],"activation-related":[267],"affect":[268],"provides":[272],"useful":[273],"important":[275],"advice":[276],"advertising":[278],"sites.":[282]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
