{"id":"https://openalex.org/W2141854340","doi":"https://doi.org/10.1109/icme.2001.1237825","title":"A novel pair-wise comparison based analytical framework for automatic measurement of intensity of motion activity of video segments","display_name":"A novel pair-wise comparison based analytical framework for automatic measurement of intensity of motion activity of video segments","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W2141854340","doi":"https://doi.org/10.1109/icme.2001.1237825","mag":"2141854340"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2001.1237825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2001.1237825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","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/A5111436953","display_name":"Kadir A. Peker","orcid":null},"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/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":true,"raw_author_name":"K.A. Peker","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Murray Hill, NJ, USA","Mitsubishi Electric Research Laboratories,"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories,","institution_ids":["https://openalex.org/I4210133125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028124265","display_name":"Ajay Divakaran","orcid":"https://orcid.org/0000-0003-0371-5346"},"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/I4210089619","display_name":"Mitsubishi Electric (France)","ror":"https://ror.org/0075b7k59","country_code":"FR","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210089619","https://openalex.org/I4210133125"]}],"countries":["FR","US"],"is_corresponding":false,"raw_author_name":"A. Divakaran","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Inc., Murray Hill, NJ, USA","Mitsubishi Electric Research Laboratories 571 Central Ave. Suite 115"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Inc., Murray Hill, NJ, USA","institution_ids":["https://openalex.org/I4210159266"]},{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories 571 Central Ave. Suite 115","institution_ids":["https://openalex.org/I4210089619"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111436953"],"corresponding_institution_ids":["https://openalex.org/I4210133125","https://openalex.org/I4210159266"],"apc_list":null,"apc_paid":null,"fwci":0.361,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70282244,"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":"729","last_page":"732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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":0.9991999864578247,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9986000061035156,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9904999732971191,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.767781674861908},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7116690874099731},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6946231722831726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6904233694076538},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6383360624313354},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5626034140586853},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.5591028928756714},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.5182290077209473},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5131621956825256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5066908001899719},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4524485170841217},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.4509425461292267},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4452784061431885},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4273771047592163},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.24341771006584167},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16327455639839172},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.10268813371658325}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.767781674861908},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7116690874099731},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6946231722831726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6904233694076538},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6383360624313354},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5626034140586853},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.5591028928756714},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.5182290077209473},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5131621956825256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5066908001899719},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4524485170841217},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.4509425461292267},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4452784061431885},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4273771047592163},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.24341771006584167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16327455639839172},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.10268813371658325},{"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2001.1237825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2001.1237825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1840179877","https://openalex.org/W2045815885","https://openalex.org/W2076568363","https://openalex.org/W2145244200","https://openalex.org/W2164217835","https://openalex.org/W3180426759","https://openalex.org/W4245924479","https://openalex.org/W6798072604"],"related_works":["https://openalex.org/W2049273678","https://openalex.org/W1969136679","https://openalex.org/W1967654336","https://openalex.org/W4285350705","https://openalex.org/W2060632806","https://openalex.org/W839483973","https://openalex.org/W4250500397","https://openalex.org/W2143589929","https://openalex.org/W1579940903","https://openalex.org/W2366349316"],"abstract_inverted_index":{"We":[0,40,64,93,122,134],"present":[1],"a":[2,24,30],"novel":[3],"pair-wise":[4,88],"comparison":[5,89],"based":[6,33,54,108],"psychovisual":[7],"and":[8,29,101],"analytical":[9],"framework":[10],"for":[11],"automatic":[12],"measurement":[13],"of":[14,26,45,61,70,80,90,111,117,127,138],"motion":[15,46,52,62,105,112,131],"activity":[16,47,106,132],"in":[17,120],"video":[18,27,91],"sequences.":[19],"In":[20,73],"[1]":[21],"we":[22,76],"constructed":[23],"test-set":[25],"segments":[28],"ground":[31,85],"truth,":[32],"on":[34,55,109],"subjective":[35,59],"tests":[36],"with":[37],"naive":[38],"subjects.":[39],"presented":[41],"automatically":[42],"extractable":[43],"descriptors":[44,82,98,141],"computed":[48],"from":[49],"MPEG":[50],"block":[51],"vectors,":[53],"different":[56],"hypotheses":[57],"about":[58],"perception":[60],"activity.":[63],"tested":[65],"the":[66,71,78,81,84,97,103,118,124,128,139,147],"average":[67],"error":[68],"performance":[69,79],"descriptors.":[72,133],"this":[74],"paper":[75],"test":[77],"against":[83],"truth":[86],"using":[87],"segments.":[92],"show":[94],"that":[95,102,136],"all":[96],"perform":[99],"well":[100],"MPEG-7":[104],"descriptor,":[107],"variance":[110],"vector":[113],"magnitudes,":[114],"is":[115],"one":[116],"best":[119],"performance.":[121],"determine":[123],"common":[125],"limitations":[126],"proposed":[129,140],"lowlevel":[130],"find":[135],"some":[137],"are":[142],"significantly":[143],"less":[144],"susceptible":[145],"to":[146],"aforementioned":[148],"limitations.":[149]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
