{"id":"https://openalex.org/W2146746404","doi":"https://doi.org/10.1109/mmsp.2007.4412851","title":"Temporal registration using 3D phase correlation and a maximum likelihood approach in the perceptual evaluation of video quality","display_name":"Temporal registration using 3D phase correlation and a maximum likelihood approach in the perceptual evaluation of video quality","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2146746404","doi":"https://doi.org/10.1109/mmsp.2007.4412851","mag":"2146746404"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2007.4412851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2007.4412851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 9th Workshop on Multimedia Signal Processing","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/A5006111389","display_name":"Marcus Barkowsky","orcid":"https://orcid.org/0000-0003-2739-3708"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marcus Barkowsky","raw_affiliation_strings":["Chair of Multimedia Communication and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","OPTICOM GmbH, Erlangen"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communication and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"OPTICOM GmbH, Erlangen","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020710347","display_name":"Jens Bialkowski","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Bialkowski","raw_affiliation_strings":["Chair of Multimedia Communication and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","OPTICOM GmbH, Erlangen"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communication and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"OPTICOM GmbH, Erlangen","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020311348","display_name":"Roland Bitto","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roland Bitto","raw_affiliation_strings":["OPTICOM GmbH, Erlangen, Germany","OPTICOM GmbH, 91052 Erlangen, Germany, University Erlangen-Nuremberg, 91058 Erlangen, Germany, rb@opticom.de"],"affiliations":[{"raw_affiliation_string":"OPTICOM GmbH, Erlangen, Germany","institution_ids":[]},{"raw_affiliation_string":"OPTICOM GmbH, 91052 Erlangen, Germany, University Erlangen-Nuremberg, 91058 Erlangen, Germany, rb@opticom.de","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062850220","display_name":"Andr\u00e9 Kaup","orcid":"https://orcid.org/0000-0002-0929-5074"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andre Kaup","raw_affiliation_strings":["Chair of Multimedia Communication and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","Chair of Multimedia Communication and Signal Processing, University Erlangen-Nuremberg, 91058 Erlangen, Germany, kaup@lnt.de"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communication and Signal Processing, University of Erlangen Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Chair of Multimedia Communication and Signal Processing, University Erlangen-Nuremberg, 91058 Erlangen, Germany, kaup@lnt.de","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006111389"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":1.9474,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.87649915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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":0.7530856132507324},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.7148914933204651},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.579269528388977},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.5619879961013794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5304673910140991},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5007493495941162},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4710032045841217},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.46529778838157654},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4471745491027832},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4439617693424225},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41068288683891296},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34823161363601685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1801949441432953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530856132507324},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.7148914933204651},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.579269528388977},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.5619879961013794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5304673910140991},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5007493495941162},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4710032045841217},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.46529778838157654},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4471745491027832},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4439617693424225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41068288683891296},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34823161363601685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1801949441432953},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2007.4412851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2007.4412851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 9th Workshop on Multimedia Signal Processing","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":4,"referenced_works":["https://openalex.org/W2000518209","https://openalex.org/W2131372145","https://openalex.org/W2798333393","https://openalex.org/W4248676392"],"related_works":["https://openalex.org/W141820298","https://openalex.org/W2049584446","https://openalex.org/W2079781215","https://openalex.org/W4378770497","https://openalex.org/W4308245303","https://openalex.org/W1988032185","https://openalex.org/W2898021863","https://openalex.org/W2521335480","https://openalex.org/W3121692546","https://openalex.org/W2611370603"],"abstract_inverted_index":{"The":[0],"estimation":[1,102],"of":[2,15,54,93,117],"the":[3,16,29,33,36,55,76,79,89,112,134],"video":[4,22,38,118],"quality":[5,23],"is":[6,26,48,58,96,103],"often":[7],"performed":[8],"using":[9],"a":[10,21,91,99],"full":[11],"reference":[12,34],"approach.":[13],"One":[14],"most":[17],"important":[18],"steps":[19,47],"in":[20],"measurement":[24],"algorithm":[25,44],"to":[27,60,105,132,136],"find":[28,61],"corresponding":[30],"frames":[31],"between":[32],"and":[35,82],"distorted":[37],"sequence.":[39],"In":[40],"this":[41],"paper":[42],"an":[43,51,65],"with":[45,64,121],"three":[46],"proposed.":[49],"First,":[50],"extended":[52],"version":[53],"phase":[56],"correlation":[57],"used":[59,131],"candidate":[62],"images":[63],"arbitrary":[66],"temporal":[67,108],"offset,":[68],"spatial":[69,72,80,83],"scaling":[70,81],"or":[71],"shift.":[73],"Based":[74],"on":[75],"assumption":[77],"that":[78],"shift":[84],"does":[85],"not":[86],"change":[87],"during":[88],"sequence":[90],"set":[92,116],"probable":[94],"parameters":[95],"selected.":[97],"Finally,":[98],"maximum":[100],"likelihood":[101],"applied":[104],"select":[106],"those":[107],"offsets":[109],"which":[110,124],"support":[111],"smoothest":[113],"playback.":[114],"A":[115],"sequences":[119],"degraded":[120],"several":[122],"distortions":[123],"are":[125,130],"typical":[126],"for":[127],"multimedia":[128],"scenarios":[129],"compare":[133],"performance":[135],"other":[137],"algorithms.":[138]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
