{"id":"https://openalex.org/W2162918866","doi":"https://doi.org/10.1109/icme.2003.1220988","title":"3D motion vector coding with block base adaptive interpolation filter on H.264","display_name":"3D motion vector coding with block base adaptive interpolation filter on H.264","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2162918866","doi":"https://doi.org/10.1109/icme.2003.1220988","mag":"2162918866"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2003.1220988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1220988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","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/A5079940782","display_name":"Hideaki Kimata","orcid":"https://orcid.org/0000-0003-1287-6862"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"H. Kimata","raw_affiliation_strings":["NTT Cyber Space Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101464155","display_name":"M. Kitahara","orcid":"https://orcid.org/0000-0003-1077-4870"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Kitahara","raw_affiliation_strings":["NTT Cyber Space Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110603628","display_name":"Yoshiyuki Yashima","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Yashima","raw_affiliation_strings":["NTT Cyber Space Laboratories, NTT Corporation, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079940782"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.25698378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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":0.996399998664856,"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-vision","display_name":"Computer vision","score":0.70977783203125},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.6693945527076721},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.667911946773529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6371723413467407},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5828154683113098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5783402919769287},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.5525974631309509},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5261204838752747},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5121166706085205},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4675425887107849},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.46465224027633667},{"id":"https://openalex.org/keywords/algorithmic-efficiency","display_name":"Algorithmic efficiency","score":0.42266684770584106},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4191695749759674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3449421525001526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3241691589355469},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.18643996119499207},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14824241399765015}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.70977783203125},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.6693945527076721},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.667911946773529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371723413467407},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5828154683113098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5783402919769287},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.5525974631309509},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5261204838752747},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5121166706085205},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4675425887107849},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.46465224027633667},{"id":"https://openalex.org/C116709606","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Algorithmic efficiency","level":3,"score":0.42266684770584106},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4191695749759674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3449421525001526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3241691589355469},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.18643996119499207},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14824241399765015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2003.1220988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1220988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)","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":3,"referenced_works":["https://openalex.org/W1873756113","https://openalex.org/W2302376660","https://openalex.org/W6698203692"],"related_works":["https://openalex.org/W1579940903","https://openalex.org/W4285350705","https://openalex.org/W2548747278","https://openalex.org/W3161024829","https://openalex.org/W1988704969","https://openalex.org/W2358300437","https://openalex.org/W2366349316","https://openalex.org/W4247116801","https://openalex.org/W2109074487","https://openalex.org/W2402259974"],"abstract_inverted_index":{"Fractional":[0],"pel":[1,24,29,38,60,72],"motion":[2,12,30,81,91,119],"compensation":[3,31],"generally":[4],"improves":[5],"coding":[6,93,121],"efficiency":[7],"due":[8],"to":[9,79,83],"more":[10,85],"precise":[11],"accuracy":[13,82],"and":[14,122],"low":[15],"path":[16],"filtering":[17],"effect":[18],"in":[19],"generating":[20],"image":[21,35,69],"at":[22,36,70],"fractional":[23],"positions.":[25],"In":[26,87],"H.264,":[27],"quarter":[28,71],"is":[32,40,103,115],"applied,":[33],"where":[34],"half":[37,59],"position":[39],"generated":[41],"by":[42],"6":[43],"tap":[44],"Wiener":[45],"filter.":[46],"And":[47],"the":[48,109,124],"adaptive":[49,99],"interpolation":[50,100],"filter":[51,56,101,113],"technique,":[52],"which":[53],"adaptively":[54],"changes":[55,68],"characteristics":[57],"for":[58],"positions":[61],"have":[62],"been":[63],"proposed.":[64,104],"That":[65],"technique":[66,95],"also":[67,107],"positions,":[73],"so":[74],"it":[75],"can":[76],"be":[77,84],"exploited":[78],"extent":[80],"precise.":[86],"this":[88],"paper,":[89],"3D":[90],"vector":[92,120],"(3DMVC)":[94],"with":[96],"block":[97],"base":[98],"(BAIF)":[102],"This":[105],"paper":[106],"demonstrates":[108],"proposed":[110],"method":[111],"achieves":[112],"data":[114],"successfully":[116],"integrated":[117],"into":[118],"outperforms":[123],"normal":[125],"H.264.":[126]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
