{"id":"https://openalex.org/W2021027032","doi":"https://doi.org/10.1142/s1793351x13400035","title":"SEMANTIC MOTION CONCEPT RETRIEVAL IN NON-STATIC BACKGROUND UTILIZING SPATIAL-TEMPORAL VISUAL INFORMATION","display_name":"SEMANTIC MOTION CONCEPT RETRIEVAL IN NON-STATIC BACKGROUND UTILIZING SPATIAL-TEMPORAL VISUAL INFORMATION","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W2021027032","doi":"https://doi.org/10.1142/s1793351x13400035","mag":"2021027032"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x13400035","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x13400035","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-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/A5032027888","display_name":"Dianting Liu","orcid":"https://orcid.org/0000-0003-1939-6634"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DIANTING LIU","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036221136","display_name":"Mei\u2010Ling Shyu","orcid":"https://orcid.org/0000-0003-0902-0844"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MEI-LING SHYU","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":null,"apc_paid":null,"fwci":3.2179,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.91813129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"07","issue":"01","first_page":"43","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9972000122070312,"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":0.8022251129150391},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6881729364395142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6530216932296753},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5508546829223633},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5465635061264038},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.5195651054382324},{"id":"https://openalex.org/keywords/quarter-pixel-motion","display_name":"Quarter-pixel motion","score":0.5047770738601685},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.42607414722442627},{"id":"https://openalex.org/keywords/motion-interpolation","display_name":"Motion interpolation","score":0.4124261736869812},{"id":"https://openalex.org/keywords/block-matching-algorithm","display_name":"Block-matching algorithm","score":0.3587838411331177},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.25864148139953613},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.22706270217895508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022251129150391},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6881729364395142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6530216932296753},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5508546829223633},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5465635061264038},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.5195651054382324},{"id":"https://openalex.org/C174493125","wikidata":"https://www.wikidata.org/wiki/Q1073461","display_name":"Quarter-pixel motion","level":3,"score":0.5047770738601685},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.42607414722442627},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.4124261736869812},{"id":"https://openalex.org/C167510206","wikidata":"https://www.wikidata.org/wiki/Q2835824","display_name":"Block-matching algorithm","level":4,"score":0.3587838411331177},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.25864148139953613},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.22706270217895508}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s1793351x13400035","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x13400035","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.706.4461","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.706.4461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://rvc.eng.miami.edu/dt/papers/2013_IJSC.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":28,"referenced_works":["https://openalex.org/W1964660284","https://openalex.org/W1965301399","https://openalex.org/W1973752373","https://openalex.org/W1974306404","https://openalex.org/W1977307069","https://openalex.org/W1978824904","https://openalex.org/W1995846643","https://openalex.org/W1996326832","https://openalex.org/W2033455808","https://openalex.org/W2035485237","https://openalex.org/W2049389369","https://openalex.org/W2056521421","https://openalex.org/W2062903088","https://openalex.org/W2079511289","https://openalex.org/W2088394057","https://openalex.org/W2088930633","https://openalex.org/W2111993661","https://openalex.org/W2130293653","https://openalex.org/W2131605659","https://openalex.org/W2143373691","https://openalex.org/W2147069236","https://openalex.org/W2148661353","https://openalex.org/W2149095485","https://openalex.org/W2149250815","https://openalex.org/W2151103935","https://openalex.org/W2164598857","https://openalex.org/W2164720308","https://openalex.org/W2181984840"],"related_works":["https://openalex.org/W1541334882","https://openalex.org/W2010798765","https://openalex.org/W1967654336","https://openalex.org/W2381927031","https://openalex.org/W3181871159","https://openalex.org/W1997997397","https://openalex.org/W2019932249","https://openalex.org/W2123833862","https://openalex.org/W2130187254","https://openalex.org/W2016848112"],"abstract_inverted_index":{"Motion":[0],"concepts":[1,4,25,79],"mean":[2],"those":[3,23],"containing":[5,56,80,232],"motion":[6,71,81,110,116,136,157,188,215,225,235,241,253,261,316],"information":[7,37,131,165,221,267],"such":[8,26,103],"as":[9,27,87,173],"racing":[10],"car":[11,28],"and":[12,98,120,129,175,205,256,288,352],"dancing.":[13],"In":[14,273],"order":[15],"to":[16,39,153,218,250,299,304],"achieve":[17],"high":[18],"retrieval":[19,33,76,112,123,277,308,318,343],"accuracy":[20],"comparing":[21],"with":[22],"static":[24],"or":[29],"person":[30],"in":[31,82,94,132,159,328],"semantic":[32,78,96,271,280],"tasks,":[34],"the":[35,60,63,68,75,90,127,148,156,178,196,199,202,214,230,240,245,252,260,274,283,301,306,335,341,350],"temporal":[36,130,353],"has":[38],"be":[40,346],"considered.":[41],"Additionally,":[42],"if":[43],"a":[44,53,104,109,115,121,141,187,291],"video":[45,99,133,168],"sequence":[46],"is":[47,85,193,217,268,286,296],"captured":[48],"by":[49,334,348],"an":[50,160],"amateur":[51],"using":[52],"hand-held":[54],"camera":[55,58],"significant":[57],"motion,":[59],"complexities":[61],"of":[62,70,77,89,150,177,180,182,190,198,213,312],"uncontrolled":[64],"backgrounds":[65],"would":[66],"aggravate":[67],"difficulty":[69],"concept":[72,111,122,317,342],"retrieval.":[73,100,272],"Therefore,":[74],"non-static":[83,329],"background":[84],"regarded":[86],"one":[88],"most":[91],"challenging":[92],"tasks":[93],"multimedia":[95],"analysis":[97],"To":[101],"address":[102],"challenge,":[105],"this":[106],"paper":[107],"proposes":[108],"framework":[113,319],"including":[114],"region":[117,137,262],"detection":[118,138,263],"model":[119,124,139],"that":[125,228,340],"integrates":[126],"spatial":[128,351],"sequences.":[134],"The":[135,211,234,310],"uses":[140],"new":[142],"integral":[143,151],"density":[144],"method":[145],"(adopted":[146],"from":[147,195,201],"idea":[149],"images)":[152],"quickly":[154,255],"identify":[155],"regions":[158,231,254],"unsupervised":[161],"way.":[162],"Specially,":[163],"key":[164,220,224],"locations":[166,222,226],"on":[167,259],"frames":[169,192],"are":[170,320],"first":[171],"obtained":[172],"maxima":[174],"minima":[176],"result":[179],"Difference":[181],"Gaussian":[183],"(DoG)":[184],"function.":[185],"Then":[186],"map":[189,216,236],"adjacent":[191],"generated":[194],"diversity":[197],"outcomes":[200],"Simultaneous":[203],"Partition":[204],"Class":[206],"Parameter":[207],"Estimation":[208],"(SPCPE)":[209],"framework.":[210],"usage":[212],"filter":[219],"into":[223,290],"(KMLs)":[227],"imply":[229],"motion.":[233],"can":[237,345],"also":[238,332],"indicate":[239],"direction":[242],"which":[243,295],"guides":[244],"proposed":[246,275,314],"\"integral":[247],"density\"":[248],"approach":[249],"locate":[251],"accurately.":[257],"Based":[258],"model,":[264,278,294],"moving":[265],"object-level":[266],"extracted":[269],"for":[270],"conceptual":[276],"temporally":[279],"consistency":[281],"among":[282],"consecutive":[284],"shots":[285],"analyzed":[287],"presented":[289],"conditional":[292],"probability":[293],"then":[297],"used":[298],"re-rank":[300],"similarity":[302],"scores":[303],"improve":[305],"final":[307],"results.":[309],"results":[311,338],"our":[313],"novel":[315],"not":[321],"only":[322],"illustrated":[323],"visually":[324],"demonstrating":[325,339],"its":[326],"robustness":[327],"background,":[330],"but":[331],"verified":[333],"promising":[336],"experimental":[337],"performance":[344],"improved":[347],"integrating":[349],"visual":[354],"information.":[355]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}