{"id":"https://openalex.org/W2087465185","doi":"https://doi.org/10.1109/icme.2013.6607432","title":"Human movement summarization and depiction from videos","display_name":"Human movement summarization and depiction from videos","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2087465185","doi":"https://doi.org/10.1109/icme.2013.6607432","mag":"2087465185"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2013.6607432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","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/A5059027378","display_name":"Yijuan Lu","orcid":"https://orcid.org/0000-0002-9855-8365"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]},{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yijuan Lu","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA","Texas State University-San Marcos, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Texas State University-San Marcos, TX, USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100616426","display_name":"Hao Jiang","orcid":"https://orcid.org/0000-0002-8533-1612"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]},{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Jiang","raw_affiliation_strings":["Department of Electrical Engineering, Stanford University, Stanford, CA, USA","Boston College, Boston MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]},{"raw_affiliation_string":"Boston College, Boston MA, USA","institution_ids":["https://openalex.org/I103531236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059027378"],"corresponding_institution_ids":["https://openalex.org/I13511017","https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.8293,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77687893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"104","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T12290","display_name":"Human Motion and Animation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11439","display_name":"Video Analysis and Summarization","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/automatic-summarization","display_name":"Automatic summarization","score":0.8833053112030029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7909969091415405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7469456195831299},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7230479121208191},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.7193422317504883},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.6961114406585693},{"id":"https://openalex.org/keywords/depiction","display_name":"Depiction","score":0.6783666610717773},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6659740209579468},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6609231233596802},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5135819911956787},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4941861927509308},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46019911766052246},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44754448533058167},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.42730361223220825},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.41904836893081665},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09331965446472168},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08982455730438232}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8833053112030029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909969091415405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7469456195831299},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7230479121208191},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.7193422317504883},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.6961114406585693},{"id":"https://openalex.org/C2779702343","wikidata":"https://www.wikidata.org/wiki/Q1166770","display_name":"Depiction","level":2,"score":0.6783666610717773},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6659740209579468},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6609231233596802},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5135819911956787},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4941861927509308},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46019911766052246},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44754448533058167},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.42730361223220825},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.41904836893081665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09331965446472168},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08982455730438232},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2013.6607432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2013.6607432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.364.3098","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.3098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bc.edu/~hjiang/papers/conference/icme2013.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1696716473","https://openalex.org/W1973958003","https://openalex.org/W2014341379","https://openalex.org/W2030536784","https://openalex.org/W2083975035","https://openalex.org/W2143354173","https://openalex.org/W2144139464","https://openalex.org/W2161318698","https://openalex.org/W2171184283","https://openalex.org/W4247481034","https://openalex.org/W6637538395","https://openalex.org/W6671702253","https://openalex.org/W6683919018","https://openalex.org/W6685349590"],"related_works":["https://openalex.org/W3196329781","https://openalex.org/W4207023496","https://openalex.org/W585325435","https://openalex.org/W4317826877","https://openalex.org/W2648057","https://openalex.org/W2032880931","https://openalex.org/W2740961807","https://openalex.org/W4322774593","https://openalex.org/W4394325959","https://openalex.org/W2083041801"],"abstract_inverted_index":{"Human":[0],"movement":[1],"summarization":[2,45],"and":[3,31,75,125,140,162],"depiction":[4,35],"from":[5,79],"videos":[6,81,95,149],"is":[7,60,155],"to":[8,72,105,116],"automatically":[9,73],"turn":[10],"an":[11,99],"input":[12],"video":[13],"into":[14,96],"high":[15],"level":[16],"action":[17,44],"illustrations,":[18],"in":[19,157],"which":[20,57],"the":[21,24,129,134,152],"movements":[22,40,78,161],"of":[23,148],"body":[25,122],"parts":[26],"are":[27,41],"visualized":[28],"using":[29,120],"arrows":[30,139],"motion":[32,50,84,137,141],"particles.":[33,142],"Motion":[34],"compactly":[36],"illustrates":[37],"how":[38],"specific":[39],"performed.":[42],"Previous":[43],"methods":[46],"reply":[47],"on":[48,145],"3D":[49,83],"capture":[51,85],"or":[52,86],"manually":[53,87],"labeled":[54,88],"data,":[55],"without":[56,82],"depicting":[58],"actions":[59],"a":[61,69,111,146],"challenging":[62],"task.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,109,132],"propose":[68,110],"novel":[70,112],"scheme":[71],"summarize":[74],"depict":[76,133],"human":[77,107,135,160],"2D":[80],"data.":[89],"The":[90],"proposed":[91,153],"method":[92,115,154],"first":[93],"segments":[94],"sub-actions":[97],"with":[98,138],"effective":[100,156],"streamline":[101],"matching":[102],"scheme.":[103],"Then,":[104],"estimate":[106],"movement,":[108,131],"trajectory":[113],"following":[114],"track":[117],"points":[118],"by":[119],"both":[121],"part":[123],"detection":[124],"optical":[126],"flow.":[127],"With":[128],"estimated":[130],"articulated":[136],"Our":[143],"experiments":[144],"variety":[147],"show":[150],"that":[151],"summarizing":[158],"complex":[159],"generating":[163],"compact":[164],"depictions.":[165]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
