{"id":"https://openalex.org/W2008790758","doi":"https://doi.org/10.1109/icme.2003.1221350","title":"A novel motion-based representation for video mining","display_name":"A novel motion-based representation for video mining","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2008790758","doi":"https://doi.org/10.1109/icme.2003.1221350","mag":"2008790758"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2003.1221350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221350","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/A5034598391","display_name":"Dong-Jun Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong-Jun Lan","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China","Dept. of Electron. Eng., TsingHua Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Electron. Eng., TsingHua Univ., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081165078","display_name":"Yufei Ma","orcid":"https://orcid.org/0000-0002-9788-7984"},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yu-Fei Ma","raw_affiliation_strings":["3/F Beijing Sigma Center, Microsoft Research Asia, Beijing, China","Research Center for Genetic Medicine, Children's National Medical Center, Washington,DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"3/F Beijing Sigma Center, Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Research Center for Genetic Medicine, Children's National Medical Center, Washington,DC, USA","institution_ids":["https://openalex.org/I1336742384"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hong-Jiang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I1336742384","display_name":"Children's National","ror":"https://ror.org/03wa2q724","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1336742384"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hong-Jiang Zhang","raw_affiliation_strings":["3/F Beijing Sigma Center, Microsoft Research Asia, Beijing, China","Research Center for Genetic Medicine, Children's National Medical Center, Washington,DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"3/F Beijing Sigma Center, Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Research Center for Genetic Medicine, Children's National Medical Center, Washington,DC, USA","institution_ids":["https://openalex.org/I1336742384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5039,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.92965329,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"III","last_page":"469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":1.0,"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/T11439","display_name":"Video Analysis and Summarization","score":1.0,"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":0.9927999973297119,"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":0.9901000261306763,"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":0.7974710464477539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6927152872085571},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6624448895454407},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.6494033932685852},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6482782363891602},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.6019610166549683},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.5537810325622559},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5453405380249023},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5438178181648254},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5116100907325745},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.503511369228363},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.49498385190963745},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.4547334313392639},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.44853878021240234},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.3895227313041687},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3688891530036926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7974710464477539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6927152872085571},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6624448895454407},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.6494033932685852},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6482782363891602},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.6019610166549683},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.5537810325622559},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5453405380249023},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5438178181648254},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5116100907325745},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.503511369228363},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.49498385190963745},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.4547334313392639},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.44853878021240234},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3895227313041687},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3688891530036926},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2003.1221350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2003.1221350","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":10,"referenced_works":["https://openalex.org/W1715106067","https://openalex.org/W2006830243","https://openalex.org/W2022582203","https://openalex.org/W2055843054","https://openalex.org/W2088318324","https://openalex.org/W2097009698","https://openalex.org/W2109029335","https://openalex.org/W2134190498","https://openalex.org/W6674632519","https://openalex.org/W6679885870"],"related_works":["https://openalex.org/W2032145508","https://openalex.org/W2079698029","https://openalex.org/W2060632806","https://openalex.org/W3017180545","https://openalex.org/W1967654336","https://openalex.org/W2187171999","https://openalex.org/W2084338435","https://openalex.org/W3020968992","https://openalex.org/W4233771325","https://openalex.org/W2051615313"],"abstract_inverted_index":{"It":[0],"is":[1,23,31],"a":[2,24,32,49,58,70],"challenging":[3],"issue":[4],"to":[5,14,37,82],"analyze":[6],"video":[7,10,28,39,54,84,104],"content":[8,40],"for":[9,53],"mining":[11,55,85],"tasks":[12,86],"due":[13],"lacking":[15],"of":[16,19,27,72,102,112],"effective":[17],"representation":[18,52],"video.":[20],"As":[21],"motion":[22,61,92],"distinctive":[25],"feature":[26],"sequence,":[29],"it":[30,81],"reasonable":[33],"and":[34,69,74,94,110],"efficient":[35],"manner":[36],"represent":[38],"based":[41],"on":[42,98],"motion.":[43],"In":[44],"this":[45],"paper":[46],"we":[47,79],"proposed":[48,114],"novel":[50],"motion-based":[51],"tasks,":[56],"including":[57],"fast":[59],"dominant":[60],"extraction":[62],"scheme,":[63],"called":[64],"integral":[65],"template":[66],"match":[67],"(ITM),":[68],"set":[71],"qualitative":[73],"quantitative":[75],"description":[76],"schemes.":[77,115],"Currently,":[78],"applied":[80],"such":[83],"as":[87],"shot":[88],"boundary":[89],"detection,":[90],"camera":[91],"segmentation":[93],"recognition.":[95],"The":[96],"experiments":[97],"the":[99,108,113],"test":[100],"collection":[101],"TREC2002":[103],"track":[105],"have":[106],"demonstrated":[107],"efficiency":[109],"robustness":[111]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}