{"id":"https://openalex.org/W2150864004","doi":"https://doi.org/10.1109/icme.2010.5583884","title":"A SIFT descriptor based method for global disparity vector estimation in multiview video coding","display_name":"A SIFT descriptor based method for global disparity vector estimation in multiview video coding","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2150864004","doi":"https://doi.org/10.1109/icme.2010.5583884","mag":"2150864004"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2010.5583884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","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/A5036481579","display_name":"Kuan-Hsien Liu","orcid":"https://orcid.org/0000-0002-1411-2113"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kuan-Hsien Liu","raw_affiliation_strings":["Department of Electrical Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005792607","display_name":"Tsung-Jung Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tsung-Jung Liu","raw_affiliation_strings":["Department of Electrical Engineering, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083142333","display_name":"Hsin\u2010Hua Liu","orcid":"https://orcid.org/0000-0001-7215-0356"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Hua Liu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1214","last_page":"1218"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998000264167786,"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/T11439","display_name":"Video Analysis and Summarization","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/T10531","display_name":"Advanced Vision and Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.779481053352356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7212794423103333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7204201221466064},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6734702587127686},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5598275661468506},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4615955054759979},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4558466970920563},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.43567806482315063},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43188202381134033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42469459772109985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2305673360824585},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15100273489952087},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10022395849227905}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.779481053352356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7212794423103333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204201221466064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6734702587127686},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5598275661468506},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4615955054759979},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4558466970920563},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.43567806482315063},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43188202381134033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42469459772109985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2305673360824585},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15100273489952087},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10022395849227905}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2010.5583884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2010.5583884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Multimedia and Expo","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":12,"referenced_works":["https://openalex.org/W292997513","https://openalex.org/W832984975","https://openalex.org/W1979372659","https://openalex.org/W2106219841","https://openalex.org/W2106556114","https://openalex.org/W2112559731","https://openalex.org/W2124386111","https://openalex.org/W2140199336","https://openalex.org/W2147000487","https://openalex.org/W2151103935","https://openalex.org/W2151293451","https://openalex.org/W6610514242"],"related_works":["https://openalex.org/W2049930962","https://openalex.org/W2077501173","https://openalex.org/W2163812102","https://openalex.org/W1942234010","https://openalex.org/W4206457185","https://openalex.org/W2086830044","https://openalex.org/W2089698752","https://openalex.org/W1965745851","https://openalex.org/W4308703308","https://openalex.org/W3049145735"],"abstract_inverted_index":{"Disparity":[0],"estimation":[1,47],"is":[2,49],"crucial":[3],"to":[4,51,78],"multiview":[5],"video":[6],"coding":[7],"(MVC),":[8],"which":[9],"has":[10],"attracted":[11],"much":[12],"attention":[13],"recently.":[14],"In":[15,36],"the":[16,22,53,79],"MVC":[17],"reference":[18],"software,":[19],"named":[20],"JMVM,":[21],"global":[23],"disparity":[24,46],"vector":[25],"(GDV)":[26],"was":[27,83],"estimated":[28],"by":[29,72],"frame":[30],"matching":[31],"on":[32,61],"spatial":[33],"neighbor":[34],"views.":[35],"this":[37],"paper,":[38],"a":[39],"scale":[40],"invariant":[41],"feature":[42],"transform":[43],"(SIFT)":[44],"based":[45],"method":[48,76,81],"proposed":[50,75],"estimate":[52],"GDV.":[54],"The":[55],"experimental":[56],"results":[57],"show":[58],"that":[59,82],"benefits":[60],"peak":[62],"signal-to-noise":[63],"ratio":[64],"(PSNR)":[65],"and":[66],"saved":[67],"bits":[68],"can":[69],"be":[70],"obtained":[71],"adopting":[73],"our":[74],"compared":[77],"JMVM":[80],"often":[84],"used.":[85]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
