{"id":"https://openalex.org/W2120735801","doi":"https://doi.org/10.1109/qomex.2013.6603235","title":"Saliency based video quality prediction using multi-way data analysis","display_name":"Saliency based video quality prediction using multi-way data analysis","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2120735801","doi":"https://doi.org/10.1109/qomex.2013.6603235","mag":"2120735801"},"language":"en","primary_location":{"id":"doi:10.1109/qomex.2013.6603235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2013.6603235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://mediatum.ub.tum.de/node?id=1183509","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029655049","display_name":"Arne Redl","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Arne Redl","raw_affiliation_strings":["Institute for Data Processing, Technische Universitat M\u00fcnchen, Munich, Germany","Inst. for Data Process., Tech. Univ. Munchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Data Processing, Technische Universitat M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Inst. for Data Process., Tech. Univ. Munchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074400591","display_name":"Christian Keimel","orcid":"https://orcid.org/0000-0002-4234-7745"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Keimel","raw_affiliation_strings":["Institute for Data Processing, Technische Universitat M\u00fcnchen, Munich, Germany","Inst. for Data Process., Tech. Univ. Munchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Data Processing, Technische Universitat M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Inst. for Data Process., Tech. Univ. Munchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074346065","display_name":"Klaus Diepold","orcid":"https://orcid.org/0000-0003-0439-7511"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Diepold","raw_affiliation_strings":["Institute for Data Processing, Technische Universitat M\u00fcnchen, Munich, Germany","Inst. for Data Process., Tech. Univ. Munchen, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Data Processing, Technische Universitat M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Inst. for Data Process., Tech. Univ. Munchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029655049"],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16299559,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"188","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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":0.9993000030517578,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.965399980545044,"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":0.8149511814117432},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.716209888458252},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7116665840148926},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7043027877807617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6750934720039368},{"id":"https://openalex.org/keywords/bitstream","display_name":"Bitstream","score":0.6516716480255127},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5803067684173584},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5623565316200256},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5149555802345276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49720147252082825},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.4756457507610321},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.46417996287345886},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4639861583709717},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45726948976516724},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42823898792266846},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38030195236206055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20969164371490479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1614328920841217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14056846499443054},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.13556087017059326},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12184616923332214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8149511814117432},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.716209888458252},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7116665840148926},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7043027877807617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6750934720039368},{"id":"https://openalex.org/C136695289","wikidata":"https://www.wikidata.org/wiki/Q415568","display_name":"Bitstream","level":3,"score":0.6516716480255127},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5803067684173584},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5623565316200256},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5149555802345276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49720147252082825},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.4756457507610321},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.46417996287345886},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4639861583709717},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45726948976516724},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42823898792266846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38030195236206055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20969164371490479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1614328920841217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14056846499443054},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.13556087017059326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12184616923332214},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/qomex.2013.6603235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex.2013.6603235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1183509","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1183509","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:mediatum.ub.tum.de:node/1183509","is_oa":true,"landing_page_url":"http://mediatum.ub.tum.de/node?id=1183509","pdf_url":null,"source":{"id":"https://openalex.org/S4306400453","display_name":"mediaTUM \u2013 the media and publications repository of the Technical University Munich (Technical University Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W96080509","https://openalex.org/W242257288","https://openalex.org/W2017267357","https://openalex.org/W2027559251","https://openalex.org/W2037892408","https://openalex.org/W2042249141","https://openalex.org/W2051708641","https://openalex.org/W2055164448","https://openalex.org/W2088668249","https://openalex.org/W2101370033","https://openalex.org/W2105370098","https://openalex.org/W2128272608","https://openalex.org/W2133665775","https://openalex.org/W2135957164","https://openalex.org/W2144764737","https://openalex.org/W2152762336","https://openalex.org/W2155639125","https://openalex.org/W2167569200","https://openalex.org/W2170290402","https://openalex.org/W2490308495","https://openalex.org/W4240255376","https://openalex.org/W6680437723","https://openalex.org/W6684723144"],"related_works":["https://openalex.org/W2510622064","https://openalex.org/W2119869354","https://openalex.org/W1981234927","https://openalex.org/W2027990750","https://openalex.org/W4304091830","https://openalex.org/W2316062003","https://openalex.org/W1998089827","https://openalex.org/W2481390612","https://openalex.org/W2144866068","https://openalex.org/W2025620802"],"abstract_inverted_index":{"Saliency":[0],"information":[1,39,121,144],"allows":[2],"us":[3],"to":[4,123,140],"determine":[5],"which":[6],"parts":[7],"of":[8,17,62,94,117,149],"an":[9,108],"image":[10],"or":[11],"video":[12,64,97],"frame":[13],"attracts":[14],"the":[15,18,37,46,50,55,60,77,92,101,115,118,119,131,135,146],"focus":[16],"observer":[19],"and":[20,31,45,53,84,133],"thus":[21,134],"where":[22,100],"distortions":[23],"will":[24],"be":[25],"more":[26,124],"obvious.":[27],"Using":[28],"this":[29],"knowledge":[30],"saliency":[32,38,103,120,143],"thresholds,":[33],"we":[34],"therefore":[35],"combine":[36],"generated":[40],"by":[41],"a":[42,63,95],"computational":[43],"model":[44,132],"features":[47,58],"extracted":[48],"from":[49],"H.264/AVC":[51],"bitstream,":[52],"use":[54],"resulting":[56],"saliency-weighted":[57],"in":[59,91,130],"design":[61,93],"quality":[65,98],"metric":[66],"with":[67,127],"multi-way":[68,75,85],"data":[69],"analysis.":[70],"We":[71],"used":[72],"two":[73,78],"different":[74,102],"methods,":[76],"dimensional":[79],"principal":[80],"component":[81],"regression":[82,89],"(2D-PCR)":[83],"partial":[86],"least":[87],"squares":[88],"(PLSR)":[90],"no-reference":[96],"metric,":[99],"levels":[104],"are":[105],"considered":[106],"as":[107],"additional":[109],"direction.":[110],"Our":[111],"results":[112],"show":[113],"that":[114],"consideration":[116],"leads":[122],"stable":[125],"models":[126],"less":[128],"parameters":[129],"prediction":[136],"performance":[137],"increases":[138],"compared":[139],"metrics":[141],"without":[142],"for":[145],"same":[147],"number":[148],"parameters.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}