{"id":"https://openalex.org/W2781685787","doi":"https://doi.org/10.1109/tmm.2018.2790163","title":"Detecting and Removing Visual Distractors for Video Aesthetic Enhancement","display_name":"Detecting and Removing Visual Distractors for Video Aesthetic Enhancement","publication_year":2018,"publication_date":"2018-01-05","ids":{"openalex":"https://openalex.org/W2781685787","doi":"https://doi.org/10.1109/tmm.2018.2790163","mag":"2781685787"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2018.2790163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2790163","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5054685454","display_name":"Fang\u2010Lue Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Fang-Lue Zhang","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":"https://orcid.org/0000-0002-8728-8726","affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026092790","display_name":"Xian Wu","orcid":"https://orcid.org/0000-0003-4003-6975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Wu","raw_affiliation_strings":["Tsinghua National Lab for Informatics Science & Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4003-6975","affiliations":[{"raw_affiliation_string":"Tsinghua National Lab for Informatics Science & Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028567916","display_name":"Rui-Long Li","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui-Long Li","raw_affiliation_strings":["Tsinghua National Lab for Informatics Science & Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0511-8019","affiliations":[{"raw_affiliation_string":"Tsinghua National Lab for Informatics Science & Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440604","display_name":"Jue Wang","orcid":"https://orcid.org/0000-0002-3641-3136"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jue Wang","raw_affiliation_strings":["Megvii (Face++) Research US, Redmond, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-3641-3136","affiliations":[{"raw_affiliation_string":"Megvii (Face++) Research US, Redmond, Washington, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084866642","display_name":"Zhaoheng Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao-Heng Zheng","raw_affiliation_strings":["Tsinghua National Lab for Informatics Science & Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua National Lab for Informatics Science & Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037233582","display_name":"Shi\u2010Min Hu","orcid":"https://orcid.org/0000-0001-7507-6542"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shi-Min Hu","raw_affiliation_strings":["Cardiff University, Cardiff, U.K"],"raw_orcid":"https://orcid.org/0000-0001-7507-6542","affiliations":[{"raw_affiliation_string":"Cardiff University, Cardiff, U.K","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3526,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8543183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":"8","first_page":"1987","last_page":"1999"},"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":0.998199999332428,"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/T11094","display_name":"Face Recognition and Perception","score":0.9926000237464905,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8945503234863281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7431785464286804},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6086027026176453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5465101003646851},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.522284984588623},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5038191676139832},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44591593742370605},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4403456449508667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4277293384075165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8945503234863281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7431785464286804},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6086027026176453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5465101003646851},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.522284984588623},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5038191676139832},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44591593742370605},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4403456449508667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4277293384075165},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tmm.2018.2790163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2018.2790163","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:http://orca.cardiff.ac.uk:107790","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:http://orca-dev.cardiff.ac.uk:107790","is_oa":false,"landing_page_url":"https://orca.cardiff.ac.uk/id/eprint/107790/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G797295151","display_name":null,"funder_award_id":"61521002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W360623563","https://openalex.org/W1510835000","https://openalex.org/W1511924373","https://openalex.org/W1522734439","https://openalex.org/W1575053380","https://openalex.org/W1896080482","https://openalex.org/W1900913856","https://openalex.org/W1903029394","https://openalex.org/W1907877624","https://openalex.org/W1914184355","https://openalex.org/W1923332106","https://openalex.org/W1923404803","https://openalex.org/W1941425863","https://openalex.org/W1942214758","https://openalex.org/W1944615693","https://openalex.org/W1954814386","https://openalex.org/W1964202597","https://openalex.org/W1965301399","https://openalex.org/W1971410590","https://openalex.org/W1975862670","https://openalex.org/W1977592048","https://openalex.org/W1980120082","https://openalex.org/W1988094153","https://openalex.org/W1996326832","https://openalex.org/W1998605630","https://openalex.org/W2016053056","https://openalex.org/W2020523103","https://openalex.org/W2033859430","https://openalex.org/W2037954058","https://openalex.org/W2052452567","https://openalex.org/W2052596350","https://openalex.org/W2069237980","https://openalex.org/W2076756823","https://openalex.org/W2081239020","https://openalex.org/W2095640719","https://openalex.org/W2096979710","https://openalex.org/W2105297725","https://openalex.org/W2105454024","https://openalex.org/W2119577735","https://openalex.org/W2120441732","https://openalex.org/W2122194171","https://openalex.org/W2136585056","https://openalex.org/W2153635508","https://openalex.org/W2155598147","https://openalex.org/W2163612318","https://openalex.org/W2164261375","https://openalex.org/W2166828891","https://openalex.org/W2169574628","https://openalex.org/W2183871738","https://openalex.org/W2293332611","https://openalex.org/W2293983962","https://openalex.org/W2301300958","https://openalex.org/W2301604411","https://openalex.org/W2308045930","https://openalex.org/W2318149822","https://openalex.org/W2358876993","https://openalex.org/W2422581341","https://openalex.org/W2470139095","https://openalex.org/W2509409836","https://openalex.org/W2512948258","https://openalex.org/W2549831612","https://openalex.org/W2559325834","https://openalex.org/W2963881378","https://openalex.org/W3106221724","https://openalex.org/W3184458996","https://openalex.org/W4232006427","https://openalex.org/W6630520941","https://openalex.org/W6675628854"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W4293226380","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W1980100242","https://openalex.org/W2530420969","https://openalex.org/W3044342969"],"abstract_inverted_index":{"Personal":[0],"videos":[1],"often":[2],"contain":[3],"visual":[4],"distractors,":[5],"which":[6,75],"are":[7,10],"objects":[8],"that":[9,100,143],"accidentally":[11],"captured":[12],"and":[13,30,44,108,134],"can":[14,146],"distract":[15],"viewers":[16],"from":[17,36],"focusing":[18],"on":[19,94],"the":[20,53,119,124,149],"main":[21],"subjects.":[22],"We":[23,65,113],"propose":[24,49],"a":[25,37,57,90,109],"method":[26,102,145],"to":[27,122],"automatically":[28],"detect":[29],"localize":[31],"these":[32],"distractors":[33,121],"through":[34],"learning":[35,63,70],"manually":[38],"labeled":[39],"dataset.":[40],"To":[41],"achieve":[42],"spatially":[43],"temporally":[45],"coherent":[46],"detection,":[47],"we":[48],"extracting":[50],"features":[51],"at":[52],"temporal-superpixel":[54],"level":[55],"using":[56,71],"traditional":[58],"supporting":[59],"vector":[60],"machine":[61],"based":[62,93],"framework.":[64],"also":[66],"experiment":[67],"with":[68],"end-to-end":[69],"convolutional":[72],"neural":[73],"networks,":[74],"achieves":[76,103],"slightly":[77],"higher":[78],"performance":[79],"than":[80],"other":[81],"methods.":[82],"The":[83,138],"classification":[84],"result":[85],"is":[86],"further":[87],"refined":[88],"in":[89],"postprocessing":[91],"step":[92],"graph-cut":[95],"optimization.":[96],"Experimental":[97],"results":[98,141],"show":[99,142],"our":[101,144],"an":[104],"accuracy":[105],"of":[106,111,117,152],"81%":[107],"recall":[110],"86%.":[112],"demonstrate":[114],"several":[115],"ways":[116],"removing":[118],"detected":[120],"improve":[123,148],"video":[125,128,131],"quality,":[126],"including":[127],"hole":[129],"filling,":[130],"frame":[132],"replacement,":[133],"camera":[135],"path":[136],"replanning.":[137],"user":[139],"study":[140],"significantly":[147],"aesthetic":[150],"quality":[151],"videos.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
