{"id":"https://openalex.org/W2807727695","doi":"https://doi.org/10.1145/3206025.3206078","title":"Deep Pairwise Classification and Ranking for Predicting Media Interestingness","display_name":"Deep Pairwise Classification and Ranking for Predicting Media Interestingness","publication_year":2018,"publication_date":"2018-06-05","ids":{"openalex":"https://openalex.org/W2807727695","doi":"https://doi.org/10.1145/3206025.3206078","mag":"2807727695"},"language":"en","primary_location":{"id":"doi:10.1145/3206025.3206078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206025.3206078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval","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/A5049601339","display_name":"Jayneel Parekh","orcid":"https://orcid.org/0009-0008-4762-6998"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayneel Parekh","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045920429","display_name":"Harshvardhan Tibrewal","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshvardhan Tibrewal","raw_affiliation_strings":["Indian Institute of Technology Bombay, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001145583","display_name":"Sanjeel Parekh","orcid":"https://orcid.org/0000-0002-2251-7436"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4210121266","display_name":"Technicolor (France)","ror":"https://ror.org/02ya5n776","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210121266"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sanjeel Parekh","raw_affiliation_strings":["T\u00e9l\u00e9com ParisT\u00e9ch & Technicolor R&I, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"T\u00e9l\u00e9com ParisT\u00e9ch & Technicolor R&I, Rennes, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I4210121266"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.424,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66863357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"428","last_page":"433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9965999722480774,"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":0.9929999709129333,"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":0.7782309055328369},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7564812898635864},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.676243782043457},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6375975608825684},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.579246997833252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5721728205680847},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4890681207180023},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.46657049655914307},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4546348452568054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42902472615242004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40871042013168335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.373080313205719},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3244301676750183},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15052613615989685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10638824105262756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782309055328369},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7564812898635864},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.676243782043457},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6375975608825684},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.579246997833252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5721728205680847},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4890681207180023},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.46657049655914307},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4546348452568054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42902472615242004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40871042013168335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.373080313205719},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3244301676750183},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15052613615989685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10638824105262756},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3206025.3206078","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206025.3206078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval","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":20,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W1522734439","https://openalex.org/W1665214252","https://openalex.org/W1686810756","https://openalex.org/W1988119253","https://openalex.org/W2080754665","https://openalex.org/W2127589108","https://openalex.org/W2133218851","https://openalex.org/W2149427297","https://openalex.org/W2151009539","https://openalex.org/W2163605009","https://openalex.org/W2294130536","https://openalex.org/W2478090196","https://openalex.org/W2573570971","https://openalex.org/W2577685008","https://openalex.org/W2763110165","https://openalex.org/W2772584248","https://openalex.org/W2773552330","https://openalex.org/W2908374431","https://openalex.org/W3101685505"],"related_works":["https://openalex.org/W2011472225","https://openalex.org/W2767338541","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W51364034","https://openalex.org/W2894446834","https://openalex.org/W3160516639","https://openalex.org/W2898073868","https://openalex.org/W4284663758"],"abstract_inverted_index":{"With":[0],"the":[1,5,13,28,55,69,80,84,98],"explosive":[2],"increase":[3],"in":[4,10,33,49],"consumption":[6],"of":[7,15,23,30,43,68,86,103],"multimedia":[8],"content":[9],"recent":[11],"years,":[12],"field":[14],"media":[16],"interestingness":[17,32,96],"analysis":[18],"has":[19],"gained":[20],"a":[21,37,50],"lot":[22],"attention.":[24],"This":[25],"paper":[26],"tackles":[27],"problem":[29],"image":[31],"videos":[34],"and":[35,100],"proposes":[36],"novel":[38],"algorithm":[39],"based":[40],"on":[41,54,89,94],"pairwise-comparisons":[42],"frames":[44,48],"to":[45],"rank":[46],"all":[47],"video.":[51],"Experiments":[52],"performed":[53],"Predicting":[56],"Media":[57],"Interestingness":[58],"dataset,":[59],"affirm":[60],"its":[61],"effectiveness":[62],"over":[63],"existing":[64],"solutions.":[65],"In":[66],"terms":[67],"official":[70],"metric":[71],"i.e.":[72],"Mean":[73],"Average":[74],"Precision":[75],"at":[76],"10,":[77],"it":[78],"outperforms":[79],"previous":[81],"state-of-the-art":[82],"(to":[83],"best":[85],"our":[87,104],"knowledge)":[88],"this":[90],"dataset.":[91],"Additional":[92],"results":[93],"video":[95],"substantiate":[97],"flexibility":[99],"performance":[101],"reliability":[102],"approach.":[105]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}