{"id":"https://openalex.org/W2056148652","doi":"https://doi.org/10.1109/bmsb.2014.6873462","title":"On the performance of disparity-based weighting technique applied to 3D image quality assessment","display_name":"On the performance of disparity-based weighting technique applied to 3D image quality assessment","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2056148652","doi":"https://doi.org/10.1109/bmsb.2014.6873462","mag":"2056148652"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb.2014.6873462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb.2014.6873462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting","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/A5035887854","display_name":"Jos\u00e9 Vin\u00edcius de Miranda Cardoso","orcid":"https://orcid.org/0000-0001-5410-5551"},"institutions":[{"id":"https://openalex.org/I41455075","display_name":"Universidade Federal de Campina Grande","ror":"https://ror.org/00eftnx64","country_code":"BR","type":"education","lineage":["https://openalex.org/I41455075"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose Vinicius de Miranda Cardoso","raw_affiliation_strings":["Institute for Advanced Studies in Communications - Iecom","Fed. Univ. of Campina Grande - UFCG, Campina Grande, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Advanced Studies in Communications - Iecom","institution_ids":[]},{"raw_affiliation_string":"Fed. Univ. of Campina Grande - UFCG, Campina Grande, Brazil","institution_ids":["https://openalex.org/I41455075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052766585","display_name":"Carlos Danilo Miranda Regis","orcid":"https://orcid.org/0000-0002-3555-0024"},"institutions":[{"id":"https://openalex.org/I3018006580","display_name":"Instituto Federal de Educa\u00e7\u00e3o Ci\u00eancia e Tecnologia da Para\u00edba","ror":"https://ror.org/01xc5jm57","country_code":"BR","type":"education","lineage":["https://openalex.org/I3018006580"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlos Danilo Miranda Regis","raw_affiliation_strings":["Institute for Advanced Studies in Communications - Iecom","Fed. Inst. of Educ., Sci. & Technol. of Paraiba - IFPB, Campina Grande, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Advanced Studies in Communications - Iecom","institution_ids":[]},{"raw_affiliation_string":"Fed. Inst. of Educ., Sci. & Technol. of Paraiba - IFPB, Campina Grande, Brazil","institution_ids":["https://openalex.org/I3018006580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053030053","display_name":"Marcelo Sampaio de Alencar","orcid":"https://orcid.org/0000-0002-2849-1644"},"institutions":[{"id":"https://openalex.org/I3018006580","display_name":"Instituto Federal de Educa\u00e7\u00e3o Ci\u00eancia e Tecnologia da Para\u00edba","ror":"https://ror.org/01xc5jm57","country_code":"BR","type":"education","lineage":["https://openalex.org/I3018006580"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcelo Sampaio de Alencar","raw_affiliation_strings":["Federal Institute of Education, Science and Technology of Para\u00edba - IFPB, Campina Grande, Brazil 58429900","Fed. Inst. of Educ., Sci. & Technol. of Paraiba - IFPB, Campina Grande, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Institute of Education, Science and Technology of Para\u00edba - IFPB, Campina Grande, Brazil 58429900","institution_ids":["https://openalex.org/I3018006580"]},{"raw_affiliation_string":"Fed. Inst. of Educ., Sci. & Technol. of Paraiba - IFPB, Campina Grande, Brazil","institution_ids":["https://openalex.org/I3018006580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12025588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9998000264167786,"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/T11165","display_name":"Image and Video Quality Assessment","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.8671897649765015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7287460565567017},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6351782083511353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6297227740287781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6018938422203064},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5599347352981567},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4555860161781311},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4118727743625641},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40439513325691223},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3483901023864746}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.8671897649765015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287460565567017},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6351782083511353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6297227740287781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6018938422203064},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5599347352981567},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4555860161781311},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4118727743625641},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40439513325691223},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3483901023864746},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb.2014.6873462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmsb.2014.6873462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2022799421","https://openalex.org/W2040617105","https://openalex.org/W2049206913","https://openalex.org/W2055190003","https://openalex.org/W2117535912","https://openalex.org/W2133665775","https://openalex.org/W2977018042","https://openalex.org/W6768585049"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"This":[0],"papers":[1],"describes":[2],"the":[3,18,21,24,28,36,48,51,55,63,67,75,80],"performance":[4,22,49],"of":[5,23,35,50,62,66],"objective":[6,25,52,68],"algorithms":[7,26,69],"when":[8,70],"they":[9,71],"are":[10],"applied":[11],"for":[12],"stereosocopic":[13],"image":[14,82],"quality":[15],"assessment.":[16],"Specifically,":[17],"authors":[19],"ascertained":[20],"after":[27],"combination":[29],"with":[30,74],"an":[31],"weighting":[32],"by":[33],"means":[34],"disparity.":[37],"The":[38],"IRCCyN-IVC":[39],"3D":[40],"Images":[41],"Quality":[42],"database":[43],"was":[44],"used":[45],"to":[46],"verify":[47],"algorithms.":[53],"Indeed,":[54],"obtained":[56],"results":[57],"suggest":[58],"a":[59],"significative":[60],"enhance":[61],"prediction":[64],"capacity":[65],"were":[72],"combined":[73],"disparity":[76],"information":[77],"contained":[78],"in":[79],"original":[81],"signal.":[83]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
