{"id":"https://openalex.org/W2103138546","doi":"https://doi.org/10.1109/icip.2009.5413754","title":"Temporal down-sampling algorithm of high frame-rate video for reducing inter-frame prediction error","display_name":"Temporal down-sampling algorithm of high frame-rate video for reducing inter-frame prediction error","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2103138546","doi":"https://doi.org/10.1109/icip.2009.5413754","mag":"2103138546"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5037810535","display_name":"Yukihiro Bandoh","orcid":"https://orcid.org/0000-0001-5877-324X"},"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":"Yukihiro Bandoh","raw_affiliation_strings":["NTT Cyber Space Laboratories, NTT Corporation, Yokosuka, Kanagawa, Japan","NTT Cyber Space Laboratories, NTT Corporation, 1-1 Hikari-no-oka Yokosuka Kanagawa 239-0847, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, Yokosuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, 1-1 Hikari-no-oka Yokosuka Kanagawa 239-0847, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111184745","display_name":"Seishi Takamura","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":"Seishi Takamura","raw_affiliation_strings":["NTT Cyber Space Laboratories, NTT Corporation, Yokosuka, Kanagawa, Japan","NTT Cyber Space Laboratories, NTT Corporation, 1-1 Hikari-no-oka Yokosuka Kanagawa 239-0847, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, Yokosuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, 1-1 Hikari-no-oka Yokosuka Kanagawa 239-0847, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071153499","display_name":"Kazuto Kamikura","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":"Kazuto Kamikura","raw_affiliation_strings":["NTT Cyber Space Laboratories, NTT Corporation, Yokosuka, Kanagawa, Japan","NTT Cyber Space Laboratories, NTT Corporation, 1-1 Hikari-no-oka Yokosuka Kanagawa 239-0847, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, Yokosuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, 1-1 Hikari-no-oka Yokosuka Kanagawa 239-0847, 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":"Yoshiyuki Yashima","raw_affiliation_strings":["NTT Cyber Space Laboratories, NTT Corporation, Yokosuka, Kanagawa, Japan","NTT Cyber Space Laboratories, NTT Corporation, 1-1 Hikari-no-oka Yokosuka Kanagawa 239-0847, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, Yokosuka, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Cyber Space Laboratories, NTT Corporation, 1-1 Hikari-no-oka Yokosuka Kanagawa 239-0847, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037810535"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.3236,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60436854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1017","last_page":"1020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9990000128746033,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9987999796867371,"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/frame","display_name":"Frame (networking)","score":0.7660011053085327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7659657001495361},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6439940333366394},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.6191340088844299},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5882870554924011},{"id":"https://openalex.org/keywords/residual-frame","display_name":"Residual frame","score":0.5361544489860535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4892823398113251},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43735337257385254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42374280095100403},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.4007750153541565},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11269330978393555}],"concepts":[{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7660011053085327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659657001495361},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6439940333366394},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.6191340088844299},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5882870554924011},{"id":"https://openalex.org/C204641915","wikidata":"https://www.wikidata.org/wiki/Q7315509","display_name":"Residual frame","level":4,"score":0.5361544489860535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4892823398113251},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43735337257385254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42374280095100403},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.4007750153541565},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11269330978393555},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1993004092","https://openalex.org/W2024685474","https://openalex.org/W2062020897","https://openalex.org/W2082881960","https://openalex.org/W2116361875","https://openalex.org/W2126879381","https://openalex.org/W2130703261","https://openalex.org/W2139886987","https://openalex.org/W3033652012"],"related_works":["https://openalex.org/W2379961389","https://openalex.org/W2125523436","https://openalex.org/W2103881587","https://openalex.org/W1769856625","https://openalex.org/W2168879190","https://openalex.org/W2120898383","https://openalex.org/W2367398656","https://openalex.org/W2108315009","https://openalex.org/W2171069474","https://openalex.org/W2171203958"],"abstract_inverted_index":{"Over":[0],"the":[1,61,65,79],"past":[2],"decade,":[3],"video":[4,34,55],"acquisition":[5],"rates,":[6],"which":[7],"had":[8],"been":[9],"24":[10],"Hz":[11,14,18],"(cinema),":[12],"30-60":[13],"(webcam)":[15],"or":[16],"50-60":[17],"(SD/HDcam),":[19],"has":[20],"broken":[21],"through":[22],"to":[23,29,87,91],"reach":[24],"1000":[25],"Hz.":[26],"In":[27],"order":[28],"display":[30,38],"these":[31],"high":[32,53],"frame-rate":[33,54],"signals":[35],"on":[36],"current":[37],"devices,":[39],"they":[40],"must":[41],"be":[42],"down-sampled":[43],"first.":[44],"This":[45],"study":[46],"proposes":[47],"a":[48],"down-sampling":[49],"method":[50,76],"suitable":[51],"for":[52],"signals.":[56],"It":[57],"is":[58],"designed":[59],"with":[60,94],"goal":[62],"of":[63,81],"reducing":[64],"inter-frame":[66],"prediction":[67,82],"error":[68],"and":[69],"suppressing":[70],"jerkiness":[71],"between":[72],"sub-sampled":[73],"frames.":[74],"Our":[75],"can":[77],"improve":[78],"PSNR":[80],"signal":[83],"by":[84],"0.10":[85],"[dB]":[86,89],"0.14":[88],"compared":[90],"simple":[92],"sub-sampling":[93],"constant":[95],"interval.":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
