{"id":"https://openalex.org/W2078017076","doi":"https://doi.org/10.1109/icme.2013.6607476","title":"Objective assessment of video segmentation quality for augmented reality","display_name":"Objective assessment of video segmentation quality for augmented reality","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2078017076","doi":"https://doi.org/10.1109/icme.2013.6607476","mag":"2078017076"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2013.6607476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007425473","display_name":"S\u00edlvio Ricardo Rodrigues Sanches","orcid":"https://orcid.org/0000-0003-3635-7477"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Silvio R. R. Sanches","raw_affiliation_strings":["Universidade de S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brasil","Univ. de Sao Paulo, Sao Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brasil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Univ. de Sao Paulo, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020809433","display_name":"Valdinei F. Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Valdinei F. Silva","raw_affiliation_strings":["Universidade de S\u00e3o Paulo, S\u00e3o Paulo, Brasil","Univ. de Sao Paulo, Sao Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de S\u00e3o Paulo, S\u00e3o Paulo, Brasil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Univ. de Sao Paulo, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110059964","display_name":"Ricardo Nakamura","orcid":"https://orcid.org/0000-0001-5490-1355"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo Nakamura","raw_affiliation_strings":["Universidade de S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brasil","Univ. de Sao Paulo, Sao Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brasil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Univ. de Sao Paulo, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008402753","display_name":"Romero Tori","orcid":"https://orcid.org/0000-0001-9381-9565"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Romero Tori","raw_affiliation_strings":["Universidade de S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brasil","Univ. de Sao Paulo, Sao Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade de S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brasil","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Univ. de Sao Paulo, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.4157,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61586185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9940000176429749,"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/segmentation","display_name":"Segmentation","score":0.8573765754699707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7528465986251831},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7095681428909302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5775583982467651},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5694836974143982},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5430880784988403},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.531751275062561},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.48338618874549866},{"id":"https://openalex.org/keywords/video-quality","display_name":"Video quality","score":0.45951521396636963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4470873177051544},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.4311666488647461},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4254325032234192},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4047905206680298},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40179118514060974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34575003385543823},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.057768017053604126}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8573765754699707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528465986251831},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7095681428909302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5775583982467651},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5694836974143982},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5430880784988403},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.531751275062561},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.48338618874549866},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.45951521396636963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4470873177051544},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.4311666488647461},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4254325032234192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4047905206680298},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40179118514060974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34575003385543823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.057768017053604126},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2013.6607476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","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":15,"referenced_works":["https://openalex.org/W71050884","https://openalex.org/W189964497","https://openalex.org/W1503086516","https://openalex.org/W2022491054","https://openalex.org/W2036999561","https://openalex.org/W2041641490","https://openalex.org/W2096891243","https://openalex.org/W2120565457","https://openalex.org/W2125480112","https://openalex.org/W2134301959","https://openalex.org/W2137702941","https://openalex.org/W2146406653","https://openalex.org/W2146484281","https://openalex.org/W6607781883","https://openalex.org/W6630156854"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320","https://openalex.org/W2901890255"],"abstract_inverted_index":{"Assessment":[0],"of":[1,58,95],"video":[2],"segmentation":[3,31,65,74,98],"quality":[4],"is":[5],"a":[6,87],"problem":[7],"seldom":[8],"investigated":[9],"by":[10],"the":[11,43,47,56,64,93,102],"scientific":[12],"community.":[13],"Nevertheless,":[14],"recent":[15],"studies":[16],"presented":[17],"some":[18],"objective":[19,89],"metrics":[20,25,60,70],"to":[21,42,63,71,91],"evaluate":[22,72],"algorithms.":[23],"Such":[24],"consider":[26],"different":[27],"ways":[28],"in":[29,79,101],"which":[30,46],"errors":[32],"occur":[33],"(perceptual":[34],"factors)":[35],"and":[36],"its":[37],"parameters":[38,94],"are":[39,50],"adjusted":[40],"according":[41,62],"application":[44],"for":[45,76],"segmented":[48],"frames":[49],"intended.":[51],"We":[52,83],"demonstrate":[53],"empirically":[54],"that":[55],"performance":[57],"existing":[59],"changes":[61],"algorithm;":[66],"we":[67],"applied":[68],"such":[69],"bilayer":[73,97],"algorithms":[75,99],"compose":[77],"scenes":[78],"Augmented":[80],"Reality":[81],"environments.":[82],"also":[84],"contribute":[85],"with":[86],"new":[88],"metric":[90],"adjust":[92],"two":[96],"found":[100],"literature.":[103]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
