{"id":"https://openalex.org/W2976292037","doi":"https://doi.org/10.2352/issn.2470-1173.2019.12.hvei-213","title":"NARVAL: A no-reference video quality tool for real-time communications","display_name":"NARVAL: A no-reference video quality tool for real-time communications","publication_year":2019,"publication_date":"2019-01-09","ids":{"openalex":"https://openalex.org/W2976292037","doi":"https://doi.org/10.2352/issn.2470-1173.2019.12.hvei-213","mag":"2976292037"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2019.12.hvei-213","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.12.hvei-213","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5048445818","display_name":"Augustin Lemesle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Augustin Lemesle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036477533","display_name":"Alexis Marion","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexis Marion","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106418676","display_name":"Ludovic Roux","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ludovic Roux","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026286072","display_name":"Alexandre Gouaillard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexandre Gouaillard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4528,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65204313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":"12","first_page":"213","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9976999759674072,"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":0.813652753829956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6286276578903198},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6249399781227112},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5793883204460144},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5278154611587524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45119449496269226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42391258478164673},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.41826337575912476},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35831600427627563},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22450324892997742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09398683905601501}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813652753829956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6286276578903198},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6249399781227112},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5793883204460144},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5278154611587524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45119449496269226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42391258478164673},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.41826337575912476},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35831600427627563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22450324892997742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09398683905601501},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2019.12.hvei-213","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2019.12.hvei-213","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2075740387","https://openalex.org/W1630076647","https://openalex.org/W2371138613","https://openalex.org/W2080152487","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2358990940","https://openalex.org/W2394004323","https://openalex.org/W2004323682"],"abstract_inverted_index":{"In":[0],"this":[1,76],"paper":[2],"we":[3],"introduce":[4],"two":[5,30],"new":[6],"no-reference":[7],"metrics":[8,15,92],"and":[9,27,51,59,68],"compare":[10],"their":[11],"performance":[12,101],"to":[13],"state-of-the-art":[14],"on":[16,33,70,102],"six":[17,72,104],"publicly":[18],"available":[19],"datasets":[20,73],"having":[21],"a":[22,94],"large":[23],"variety":[24],"of":[25,41,82],"distortions":[26],"characteristics.":[28],"Our":[29,91],"metrics,":[31],"based":[32],"neural":[34],"networks,":[35],"combine":[36],"the":[37,71,103],"following":[38],"features:":[39],"histogram":[40],"oriented":[42],"gradients,":[43],"edges":[44],"detection,":[45,57],"fast":[46],"fourier":[47],"transform,":[48],"CPBD,":[49],"blur":[50],"contrast":[52],"measurement,":[53],"temporal":[54],"information,":[55],"freeze":[56],"BRISQUE":[58,69],"Video":[60,66],"BLIINDS.":[61],"They":[62],"perform":[63],"better":[64],"than":[65],"BLIINDS":[67],"used":[74],"in":[75],"study,":[77],"including":[78],"one":[79],"made":[80],"up":[81],"natural":[83],"videos":[84],"that":[85],"have":[86],"not":[87],"been":[88],"artificially":[89],"distorted.":[90],"show":[93],"good":[95],"generalization":[96],"as":[97],"they":[98],"achieved":[99],"high":[100],"datasets.":[105]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
