{"id":"https://openalex.org/W2617902647","doi":"https://doi.org/10.1145/3078971.3079021","title":"Multi-view Manifold Learning for Media Interestingness Prediction","display_name":"Multi-view Manifold Learning for Media Interestingness Prediction","publication_year":2017,"publication_date":"2017-05-25","ids":{"openalex":"https://openalex.org/W2617902647","doi":"https://doi.org/10.1145/3078971.3079021","mag":"2617902647"},"language":"en","primary_location":{"id":"doi:10.1145/3078971.3079021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3078971.3079021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2015/7140","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100356036","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-9423-9252"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028148331","display_name":"Zhonglei Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhonglei Gu","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038516431","display_name":"Yiu\u2010ming Cheung","orcid":"https://orcid.org/0000-0001-7629-4648"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yiu-ming Cheung","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110083332","display_name":"Kien A. Hua","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":"Kien A. Hua","raw_affiliation_strings":["University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100356036"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":1.0158,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85116809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"308","last_page":"314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9973999857902527,"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":0.9970999956130981,"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":0.7374695539474487},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6460701823234558},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5986785888671875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5349171757698059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5336689949035645},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4925261437892914},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4587443768978119},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45232564210891724},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3876688480377197},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3424723148345947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1959022879600525},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.17836380004882812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374695539474487},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6460701823234558},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5986785888671875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5349171757698059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5336689949035645},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4925261437892914},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4587443768978119},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45232564210891724},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3876688480377197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3424723148345947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1959022879600525},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.17836380004882812},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3078971.3079021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3078971.3079021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-8139","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/7140","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2015-8139","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2015/7140","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2015-2019","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G5876603761","display_name":null,"funder_award_id":"61503317 and 61672444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320720","display_name":"Indian Council of Medical Research","ror":"https://ror.org/0492wrx28"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W105585478","https://openalex.org/W1566135517","https://openalex.org/W1672347394","https://openalex.org/W1883346539","https://openalex.org/W1963913346","https://openalex.org/W1970456555","https://openalex.org/W2001141328","https://openalex.org/W2002370809","https://openalex.org/W2017814585","https://openalex.org/W2025341678","https://openalex.org/W2042548211","https://openalex.org/W2042662639","https://openalex.org/W2044117142","https://openalex.org/W2053186076","https://openalex.org/W2071128523","https://openalex.org/W2071864906","https://openalex.org/W2076365336","https://openalex.org/W2080754665","https://openalex.org/W2096663965","https://openalex.org/W2097308346","https://openalex.org/W2102297485","https://openalex.org/W2112193096","https://openalex.org/W2117684310","https://openalex.org/W2118592463","https://openalex.org/W2135969326","https://openalex.org/W2150578721","https://openalex.org/W2151009539","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163352848","https://openalex.org/W2186500555","https://openalex.org/W2251808314","https://openalex.org/W2278128791","https://openalex.org/W2338187001","https://openalex.org/W2416343195","https://openalex.org/W2416812335","https://openalex.org/W2425857666","https://openalex.org/W2551492216","https://openalex.org/W2572880096","https://openalex.org/W2573570971","https://openalex.org/W2575335674","https://openalex.org/W2576230325","https://openalex.org/W2576846379","https://openalex.org/W2577324385","https://openalex.org/W2577974987","https://openalex.org/W2578496238","https://openalex.org/W4213367101"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W1964120219","https://openalex.org/W2136054869","https://openalex.org/W2000165426","https://openalex.org/W2385132419","https://openalex.org/W2772780115","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Media":[0,101],"interestingness":[1],"prediction":[2],"plays":[3],"an":[4],"important":[5],"role":[6],"in":[7,70],"many":[8],"real-world":[9],"applications":[10],"and":[11,66],"attracts":[12],"much":[13],"research":[14],"attention":[15],"recently.":[16],"In":[17],"this":[18,24],"paper,":[19],"we":[20,34],"aim":[21],"to":[22,44],"investigate":[23],"problem":[25],"from":[26,57,81],"the":[27,46,99,105,108],"perspective":[28],"of":[29,52,87,107],"supervised":[30],"feature":[31],"extraction.":[32],"Specifically,":[33],"design":[35],"a":[36,71,76,93],"novel":[37],"algorithm":[38],"dubbed":[39],"Multi-view":[40],"Manifold":[41],"Learning":[42],"(M)":[43],"uncover":[45],"latent":[47],"factors":[48],"that":[49],"are":[50],"capable":[51],"distinguishing":[53],"interesting":[54],"media":[55],"data":[56,80],"non-interesting":[58],"ones.":[59],"By":[60],"modelling":[61],"both":[62],"geometry":[63],"preserving":[64],"criterion":[65,69],"discrimination":[67],"maximization":[68],"unified":[72],"framework,":[73],"M2L":[74,88],"learns":[75],"common":[77],"subspace":[78],"for":[79],"multiple":[82],"views.":[83],"The":[84],"analytical":[85],"solution":[86],"is":[89],"obtained":[90],"by":[91],"solving":[92],"generalized":[94],"eigen-decomposition":[95],"problem.":[96],"Experiments":[97],"on":[98],"Predicting":[100],"Interestingness":[102],"Dataset":[103],"validate":[104],"effectiveness":[106],"proposed":[109],"method.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}