{"id":"https://openalex.org/W2121696490","doi":"https://doi.org/10.1109/icme.2003.1221642","title":"Object-based coding for long-term archive of surveillance video","display_name":"Object-based coding for long-term archive of surveillance video","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2121696490","doi":"https://doi.org/10.1109/icme.2003.1221642","mag":"2121696490"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2003.1221642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221642","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/A5049841606","display_name":"Anthony Vetro","orcid":"https://orcid.org/0000-0002-8194-573X"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]},{"id":"https://openalex.org/I1306287861","display_name":"Mitsubishi Group (Japan)","ror":"https://ror.org/0234cd281","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861"]}],"countries":["JP","US"],"is_corresponding":true,"raw_author_name":"A. Vetro","raw_affiliation_strings":["MERL-Mitsubishi Electric Research Laboratories, Murray Hill, NJ, USA","Mitsubishi Electr. Res. Labs, Murray Hill, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"MERL-Mitsubishi Electric Research Laboratories, Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electr. Res. Labs, Murray Hill, NJ, USA#TAB#","institution_ids":["https://openalex.org/I1306287861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032343627","display_name":"Toshio Haga","orcid":"https://orcid.org/0000-0002-8460-4770"},"institutions":[{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]},{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"T. Haga","raw_affiliation_strings":["Advanced Technology R&D Center, Mitsubishi Electric Corporation Limited, Tsukaguchi, Japan","Dept. of Electr. Eng, Columbia Univ., New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Advanced Technology R&D Center, Mitsubishi Electric Corporation Limited, Tsukaguchi, Japan","institution_ids":["https://openalex.org/I4210133125"]},{"raw_affiliation_string":"Dept. of Electr. Eng, Columbia Univ., New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024845234","display_name":"Kosuke Sumi","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]},{"id":"https://openalex.org/I4210133125","display_name":"Mitsubishi Electric (Japan)","ror":"https://ror.org/033y26782","country_code":"JP","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"K. Sumi","raw_affiliation_strings":["Advanced Technology R&D Center, Mitsubishi Electric Corporation Limited, Tsukaguchi, Japan","Dept. of Electr. Eng, Columbia Univ., New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Advanced Technology R&D Center, Mitsubishi Electric Corporation Limited, Tsukaguchi, Japan","institution_ids":["https://openalex.org/I4210133125"]},{"raw_affiliation_string":"Dept. of Electr. Eng, Columbia Univ., New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102817064","display_name":"Han Sun","orcid":"https://orcid.org/0000-0003-2575-0708"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]},{"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","US"],"is_corresponding":false,"raw_author_name":"H. Sun","raw_affiliation_strings":["MERL-Mitsubishi Electric Research Laboratories, Murray Hill, NJ, USA","NTT Communication Science Laboratories; NTT Corporation; Kanagawa Japan"],"affiliations":[{"raw_affiliation_string":"MERL-Mitsubishi Electric Research Laboratories, Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"NTT Communication Science Laboratories; NTT Corporation; Kanagawa Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049841606"],"corresponding_institution_ids":["https://openalex.org/I1306287861","https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":5.9219,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.96609501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"II","last_page":"417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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/T11019","display_name":"Image Enhancement Techniques","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/computer-science","display_name":"Computer science","score":0.8373076319694519},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.690334677696228},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5942298173904419},{"id":"https://openalex.org/keywords/multiview-video-coding","display_name":"Multiview Video Coding","score":0.5220282673835754},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49910688400268555},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4917743504047394},{"id":"https://openalex.org/keywords/bit-rate","display_name":"Bit rate","score":0.4566442668437958},{"id":"https://openalex.org/keywords/coding-tree-unit","display_name":"Coding tree unit","score":0.4555876851081848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4272807240486145},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4051763415336609},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.2816048860549927},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.2598498463630676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12683752179145813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8373076319694519},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.690334677696228},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5942298173904419},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.5220282673835754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49910688400268555},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4917743504047394},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.4566442668437958},{"id":"https://openalex.org/C190750250","wikidata":"https://www.wikidata.org/wiki/Q13533439","display_name":"Coding tree unit","level":3,"score":0.4555876851081848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4272807240486145},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4051763415336609},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2816048860549927},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2598498463630676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12683752179145813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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.2003.1221642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221642","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1541574340","https://openalex.org/W2098219704","https://openalex.org/W2102625004","https://openalex.org/W2106120961","https://openalex.org/W2144468361","https://openalex.org/W2171609541","https://openalex.org/W6632269766","https://openalex.org/W6675656709"],"related_works":["https://openalex.org/W2735437354","https://openalex.org/W2028369661","https://openalex.org/W2385001686","https://openalex.org/W2952327056","https://openalex.org/W180021812","https://openalex.org/W2272138664","https://openalex.org/W3158244627","https://openalex.org/W2908833932","https://openalex.org/W1579233721","https://openalex.org/W3005624509"],"abstract_inverted_index":{"This":[0],"paper":[1,67,104],"describes":[2],"video":[3,54,142],"coding":[4,28,80,143],"and":[5,82,118],"segmentation":[6,71],"techniques":[7,106],"that":[8,125,151,162],"can":[9,132],"be":[10,133],"used":[11],"to":[12,24,49,107,127,140],"achieve":[13],"significant":[14],"increase":[15],"in":[16,44,115,130],"storage":[17,60,86,131],"capacity.":[18],"Specifically,":[19],"we":[20,46,76,160],"examine":[21],"the":[22,78,91,97,110,116,136,152,155,167],"possibility":[23],"use":[25],"object-":[26],"based":[27],"for":[29,56,147,166],"efficient":[30],"long-term":[31],"archiving":[32],"of":[33,53,100,113,154],"surveillance":[34,38],"video.":[35],"We":[36],"consider":[37],"systems":[39],"with":[40,135],"many":[41],"camera":[42],"sources":[43],"which":[45],"are":[47],"required":[48],"store":[50],"several":[51,69],"months":[52],"data":[55],"each":[57,74,93],"source,":[58],"thus":[59],"capacity":[61],"is":[62,150,157,164],"a":[63],"major":[64],"concern.":[65],"The":[66,145],"considers":[68],"automatic":[70],"algorithms.":[72],"With":[73],"algorithm,":[75],"analyze":[77],"shape":[79],"overhead":[81],"implication":[83],"on":[84,96],"overall":[85],"requirements,":[87],"as":[88,90],"well":[89],"effect":[92],"algorithm":[94],"has":[95],"reconstructed":[98],"quality":[99],"frames.":[101],"Additionally,":[102],"this":[103,148,163],"reviews":[105],"dynamically":[108],"control":[109],"temporal":[111],"rate":[112],"objects":[114],"scene":[117],"perform":[119],"bit":[120],"allocation.":[121],"Experimental":[122],"results":[123],"show":[124],"up":[126],"90%":[128],"savings":[129,149],"achieved":[134],"proposed":[137],"method":[138],"compared":[139],"frame-based":[141],"techniques.":[144],"cost":[146],"accuracy":[153],"background":[156],"compromised;":[158],"however,":[159],"feel":[161],"satisfactory":[165],"application":[168],"under":[169],"consideration.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}