{"id":"https://openalex.org/W2043046238","doi":"https://doi.org/10.1145/1282280.1282311","title":"Classification of video events using 4-dimensional time-compressed motion features","display_name":"Classification of video events using 4-dimensional time-compressed motion features","publication_year":2007,"publication_date":"2007-07-09","ids":{"openalex":"https://openalex.org/W2043046238","doi":"https://doi.org/10.1145/1282280.1282311","mag":"2043046238"},"language":"en","primary_location":{"id":"doi:10.1145/1282280.1282311","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","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/A5040143997","display_name":"Alexander Haubold","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"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexander Haubold","raw_affiliation_strings":["Columbia University, New York, NY","Columbia University, New York, NY;"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Columbia University, New York, NY;","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039299246","display_name":"Milind Naphade","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milind Naphade","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Hawthorne, NY","IBM Thomas J. Watson Research Center, Hawthorne, NY#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Hawthorne, NY","institution_ids":["https://openalex.org/I4210114115"]},{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Hawthorne, NY#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040143997"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":4.2741,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94386372,"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":"178","last_page":"185"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9997000098228455,"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":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9941999912261963,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.801971435546875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7432841062545776},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7245507836341858},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7041664719581604},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6130999326705933},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.611586332321167},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.6100131869316101},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.502232551574707},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47759318351745605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4521335959434509},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.4327482581138611},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.42575377225875854},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.2139447033405304},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.18150478601455688}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.801971435546875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432841062545776},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7245507836341858},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7041664719581604},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6130999326705933},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.611586332321167},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.6100131869316101},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.502232551574707},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47759318351745605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4521335959434509},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.4327482581138611},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.42575377225875854},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.2139447033405304},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.18150478601455688},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1282280.1282311","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1282280.1282311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM international conference on Image and video retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.318.6303","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.318.6303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aquaphoenix.com/publications/civr2007_motion.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1494192243","https://openalex.org/W1571847560","https://openalex.org/W1985333512","https://openalex.org/W2025363509","https://openalex.org/W2059724456","https://openalex.org/W2111588171","https://openalex.org/W2120839833","https://openalex.org/W2123778039","https://openalex.org/W2138256834","https://openalex.org/W2142261432","https://openalex.org/W2158169396","https://openalex.org/W2168272426","https://openalex.org/W2171330332","https://openalex.org/W2735355755","https://openalex.org/W2846936617","https://openalex.org/W2916209825","https://openalex.org/W2916567321","https://openalex.org/W2917011293","https://openalex.org/W2917101542","https://openalex.org/W6677288896","https://openalex.org/W6759319768"],"related_works":["https://openalex.org/W2060632806","https://openalex.org/W2153529351","https://openalex.org/W1541334882","https://openalex.org/W2119827331","https://openalex.org/W2040149295","https://openalex.org/W1967654336","https://openalex.org/W2381927031","https://openalex.org/W1997997397","https://openalex.org/W2016848112","https://openalex.org/W2156669666"],"abstract_inverted_index":{"Among":[0],"the":[1,10,21,78,87,104,110,113,137,150,196,204,216,219],"various":[2],"types":[3],"of":[4,15,77,106,112,130,141,157,191],"semantic":[5],"concepts":[6],"modeled,":[7],"events":[8],"pose":[9],"greatest":[11],"challenge":[12],"in":[13,29,42,60,81,115,136,149,166,208],"terms":[14],"computational":[16],"power":[17,105],"needed":[18],"to":[19,66,102,213],"represent":[20],"event":[22],"and":[23,53,201],"accuracy":[24],"that":[25,39,118,155,180],"can":[26],"be":[27,120],"achieved":[28],"modeling":[30,108],"it.":[31],"We":[32],"introduce":[33],"a":[34,43,61,68,82,127,192],"novel":[35,159],"low-level":[36],"visual":[37],"feature":[38,46,99,161,184,189],"summarizes":[40],"motion":[41,48,56,69,73,80,95,114,131,146,160,174,183],"shot.":[44,139],"This":[45],"leverages":[47],"vectors":[49,57],"from":[50,133,195],"MPEG-encoded":[51],"video,":[52],"aggregates":[54],"local":[55],"over":[58,126,172,215],"time":[59,128],"matrix,":[62],"which":[63],"we":[64],"refer":[65],"as":[67,199],"image.":[70],"The":[71],"resulting":[72],"image":[74,147],"is":[75,185],"representative":[76],"overall":[79],"video":[83,116,138],"shot,":[84],"having":[85],"compressed":[86],"temporal":[88],"dimension":[89],"while":[90],"preserving":[91],"spatial":[92],"ordering.":[93],"Building":[94],"models":[96,125,142],"using":[97,144],"this":[98,158,182],"permits":[100],"us":[101],"combine":[103],"discriminant":[107],"with":[109,187],"dynamics":[111],"shots":[117],"cannot":[119],"accomplished":[121],"by":[122,170],"building":[123],"generative":[124],"series":[129],"features":[132,148,221],"multiple":[134],"frames":[135],"Evaluation":[140],"built":[143],"several":[145],"TRECVID":[151],"2005":[152],"dataset":[153],"shows":[154],"use":[156],"results":[162,207],"an":[163,209],"average":[164],"improvement":[165,210],"concept":[167],"detection":[168,206],"performance":[169],"140%":[171],"existing":[173],"features.":[175],"Furthermore,":[176],"experiments":[177],"also":[178],"reveal":[179],"when":[181],"combined":[186],"static":[188,220],"representations":[190],"single":[193],"keyframe":[194],"shot":[197],"such":[198],"color":[200],"texture":[202],"features,":[203],"fused":[205],"between":[211],"4":[212],"12%":[214],"fusion":[217],"across":[218],"alone.":[222]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
