{"id":"https://openalex.org/W2084991804","doi":"https://doi.org/10.1145/2502081.2508125","title":"Estimating beauty ratings of videos using supervoxels","display_name":"Estimating beauty ratings of videos using supervoxels","publication_year":2013,"publication_date":"2013-10-21","ids":{"openalex":"https://openalex.org/W2084991804","doi":"https://doi.org/10.1145/2502081.2508125","mag":"2084991804"},"language":"en","primary_location":{"id":"doi:10.1145/2502081.2508125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502081.2508125","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":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/190097","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058712300","display_name":"G\u00f6khan Y\u0131ld\u0131r\u0131m","orcid":"https://orcid.org/0000-0003-4399-7843"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"G\u00f6khan Yildirim","raw_affiliation_strings":["EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104035237","display_name":"Appu Shaji","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Appu Shaji","raw_affiliation_strings":["EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078201467","display_name":"Sabine S\u00fcsstrunk","orcid":"https://orcid.org/0000-0002-0441-6068"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sabine S\u00fcsstrunk","raw_affiliation_strings":["EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058712300"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":0.2764,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62358045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"385","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9930999875068665,"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":0.9930999875068665,"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":0.9550999999046326,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9347000122070312,"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/beauty","display_name":"Beauty","score":0.7917029857635498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7221348881721497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6535686254501343},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49002301692962646},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.47912904620170593},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4775886535644531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46526458859443665},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.45955976843833923},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.426284521818161},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4246971607208252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2774779796600342},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16791239380836487},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14720222353935242},{"id":"https://openalex.org/keywords/aesthetics","display_name":"Aesthetics","score":0.07213875651359558}],"concepts":[{"id":"https://openalex.org/C2780620123","wikidata":"https://www.wikidata.org/wiki/Q7242","display_name":"Beauty","level":2,"score":0.7917029857635498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7221348881721497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6535686254501343},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49002301692962646},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.47912904620170593},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4775886535644531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46526458859443665},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.45955976843833923},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.426284521818161},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4246971607208252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2774779796600342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16791239380836487},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14720222353935242},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.07213875651359558},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2502081.2508125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502081.2508125","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.401.2117","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.2117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/190097/files/MM213gc_yildirim.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:190097","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/190097","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:190097","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/190097","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1291087282","display_name":"The asymptotic behavior of the rational homotopy Lie algebra of a hyperbolic space","funder_award_id":"43406","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G1707761110","display_name":"Physics based Computational Photography","funder_award_id":"143406","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G4836148144","display_name":null,"funder_award_id":"20002","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G5921281487","display_name":null,"funder_award_id":"number","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G993971353","display_name":null,"funder_award_id":"200021","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1578285471","https://openalex.org/W1607823124","https://openalex.org/W1972942324","https://openalex.org/W2040141351","https://openalex.org/W2053802831","https://openalex.org/W2083118758","https://openalex.org/W2104716153","https://openalex.org/W2104915826","https://openalex.org/W2118246710","https://openalex.org/W2245625259","https://openalex.org/W2751023760"],"related_works":["https://openalex.org/W2390942812","https://openalex.org/W2391155477","https://openalex.org/W2377362257","https://openalex.org/W2280962619","https://openalex.org/W2392590133","https://openalex.org/W2373946932","https://openalex.org/W2365042155","https://openalex.org/W2387362166","https://openalex.org/W2377966743","https://openalex.org/W2391475263"],"abstract_inverted_index":{"The":[0],"major":[1],"low-level":[2],"perceptual":[3],"components":[4],"that":[5,41],"influence":[6],"the":[7,19,23,49,63,101,112,121,125,140,144],"beauty":[8,20,53,88,117],"ratings":[9,21],"of":[10,22,39,66,143,153],"video":[11],"are":[12,36],"color,":[13],"contrast,":[14],"and":[15,45,61,80,115,128],"motion.":[16],"To":[17],"estimate":[18],"NHK":[24,102,126,145],"dataset,":[25,146],"we":[26,71,90,147],"propose":[27],"to":[28,85,132],"extract":[29],"these":[30],"features":[31,60,114],"based":[32],"on":[33],"supervoxels,":[34],"which":[35],"a":[37,87,107,149],"group":[38],"pixels":[40],"share":[42],"similar":[43],"color":[44],"spatial":[46],"information":[47],"through":[48],"temporal":[50],"domain.":[51],"Recent":[52],"methods":[54],"use":[55],"frame-level":[56],"processing":[57],"for":[58],"visual":[59,79],"disregard":[62],"spatio-temporal":[64],"aspect":[65],"beauty.":[67],"In":[68,83],"this":[69,74],"paper,":[70],"explicitly":[72],"model":[73],"property":[75],"by":[76],"introducing":[77],"supervoxel-based":[78,113],"motion":[81],"features.":[82],"order":[84],"create":[86],"estimator,":[89],"first":[91],"identify":[92],"60":[93],"videos":[94,123],"(either":[95],"beautiful":[96],"or":[97],"not":[98],"beautiful)":[99],"in":[100,124],"dataset.":[103],"We":[104,119],"then":[105],"train":[106],"neural":[108],"network":[109],"regressor":[110],"using":[111],"binary":[116],"ratings.":[118,134],"rate":[120],"1000":[122],"dataset":[127],"rank":[129],"them":[130],"according":[131],"their":[133],"When":[135],"comparing":[136],"our":[137],"rankings":[138,142],"with":[139],"actual":[141],"obtain":[148],"Spearman":[150],"correlation":[151],"coefficient":[152],"0.42.":[154]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
