{"id":"https://openalex.org/W2171525877","doi":"https://doi.org/10.1145/2502081.2508119","title":"Towards a comprehensive computational model foraesthetic assessment of videos","display_name":"Towards a comprehensive computational model foraesthetic assessment of videos","publication_year":2013,"publication_date":"2013-10-21","ids":{"openalex":"https://openalex.org/W2171525877","doi":"https://doi.org/10.1145/2502081.2508119","mag":"2171525877"},"language":"en","primary_location":{"id":"doi:10.1145/2502081.2508119","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502081.2508119","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/A5103582579","display_name":"Subhabrata Bhattacharya","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Subhabrata Bhattacharya","raw_affiliation_strings":["University of Central Florida, Orlando, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091870800","display_name":"Behnaz Nojavanasghari","orcid":null},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnaz Nojavanasghari","raw_affiliation_strings":["University of Central Florida, Orlando, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021220108","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0002-0779-9818"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Columbia University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101845741","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0002-7350-933X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["Columbia University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037340457","display_name":"Shih\u2010Fu Chang","orcid":"https://orcid.org/0000-0003-1444-1205"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Fu Chang","raw_affiliation_strings":["Columbia University, New York, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080823547","display_name":"Mubarak Shah","orcid":"https://orcid.org/0000-0001-6172-5572"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mubarak Shah","raw_affiliation_strings":["University of Central Florida, Orlando, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103582579"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":7.3482,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.97649298,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9980999827384949,"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":0.9955000281333923,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7832504510879517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7595884799957275},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5799046754837036},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5672830939292908},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43220055103302},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4234573245048523},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.42026615142822266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15700867772102356},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.15683495998382568}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7832504510879517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7595884799957275},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5799046754837036},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5672830939292908},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43220055103302},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4234573245048523},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.42026615142822266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15700867772102356},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.15683495998382568}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2502081.2508119","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502081.2508119","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":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1511924373","https://openalex.org/W1607823124","https://openalex.org/W1627400044","https://openalex.org/W1997095443","https://openalex.org/W2007773296","https://openalex.org/W2018896047","https://openalex.org/W2024051019","https://openalex.org/W2047221353","https://openalex.org/W2048835603","https://openalex.org/W2075456404","https://openalex.org/W2078807908","https://openalex.org/W2104915826","https://openalex.org/W2117117414","https://openalex.org/W2119907838","https://openalex.org/W2126574503","https://openalex.org/W2128254161","https://openalex.org/W2130103520","https://openalex.org/W2133589685","https://openalex.org/W2139916508","https://openalex.org/W2145962650","https://openalex.org/W2162762921","https://openalex.org/W2170658603","https://openalex.org/W4211253619","https://openalex.org/W6656675045","https://openalex.org/W6679388247"],"related_works":["https://openalex.org/W1978011637","https://openalex.org/W1976280679","https://openalex.org/W3211626993","https://openalex.org/W2122718025","https://openalex.org/W2900460335","https://openalex.org/W2169521742","https://openalex.org/W771773272","https://openalex.org/W1972817643","https://openalex.org/W3128113522","https://openalex.org/W4288057579"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,39,56,91,146],"propose":[4],"a":[5,50,65,126,169],"novel":[6],"aesthetic":[7,198],"model":[8],"emphasizing":[9],"psycho-visual":[10],"statistics":[11,45,111],"extracted":[12],"from":[13,94,151],"multiple":[14],"levels":[15],"in":[16,125,168],"contrast":[17],"to":[18,174],"earlier":[19],"approaches":[20],"that":[21,68,121],"rely":[22],"only":[23],"on":[24,32,64,109,132,188],"descriptors":[25],"suited":[26],"for":[27],"image":[28],"recognition":[29],"or":[30],"based":[31],"photographic":[33],"principles.":[34],"At":[35,52,87],"the":[36,53,81,88,101,148,176],"lowest":[37],"level,":[38,55,90],"determine":[40],"dark-channel,":[41],"sharpness":[42],"and":[43,79,107,158],"eye-sensitivity":[44],"over":[46],"rectangular":[47],"cells":[48],"within":[49],"frame.":[51],"next":[54],"extract":[57,92],"Sentibank":[58],"features":[59,150],"(1,200":[60],"pre-trained":[61],"visual":[62],"classifiers)":[63],"given":[66,127],"frame,":[67],"invoke":[69],"specific":[70],"sentiments":[71],"such":[72],"as":[73,84,105,196],"\"colorful":[74],"clouds\",":[75],"\"smiling":[76],"face\"":[77],"etc.":[78],"collect":[80],"classifier":[82,164],"responses":[83],"frame-level":[85],"statistics.":[86,161],"topmost":[89],"trajectories":[93,102],"video":[95],"shots.":[96],"Using":[97],"viewer's":[98],"fixation":[99],"priors,":[100],"are":[103,112,119,130,166],"labeled":[104],"foreground,":[106],"background/camera":[108],"which":[110],"computed.":[113],"Additionally,":[114],"spatio-temporal":[115],"local":[116],"binary":[117],"patterns":[118],"computed":[120],"capture":[122],"texture":[123],"variations":[124],"shot.":[128],"Classifiers":[129],"trained":[131],"individual":[133],"feature":[134],"representations":[135],"independently.":[136],"On":[137],"thorough":[138],"evaluation":[139,199],"of":[140,144],"9":[141],"different":[142],"types":[143],"features,":[145],"select":[147],"best":[149],"each":[152],"level":[153],"--":[154],"dark":[155],"channel,":[156],"affect":[157],"camera":[159],"motion":[160],"Next,":[162],"corresponding":[163],"scores":[165],"integrated":[167],"sophisticated":[170],"low-rank":[171],"fusion":[172],"framework":[173],"improve":[175],"final":[177],"prediction":[178,187],"scores.":[179],"Our":[180],"approach":[181],"demonstrates":[182],"strong":[183],"correlation":[184],"with":[185],"human":[186],"1,000":[189],"broadcast":[190],"quality":[191],"videos":[192],"released":[193],"by":[194],"NHK":[195],"an":[197],"dataset.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":13},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
