{"id":"https://openalex.org/W2145176096","doi":"https://doi.org/10.1109/icassp.2002.5745555","title":"Automatic object-based video analysis and interpretation: A step toward systematic video understanding","display_name":"Automatic object-based video analysis and interpretation: A step toward systematic video understanding","publication_year":2002,"publication_date":"2002-05-01","ids":{"openalex":"https://openalex.org/W2145176096","doi":"https://doi.org/10.1109/icassp.2002.5745555","mag":"2145176096"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2002.5745555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745555","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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/A5101702810","display_name":"Jenq\u2013Neng Hwang","orcid":"https://orcid.org/0000-0002-8877-2421"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jenq-Neng Hwang","raw_affiliation_strings":["Ioformation Processing Laboratory, Department of Electrical Engineering, University of Washington, Seattle, WA, USA","Information Processing Lab., Dept. of Electrical Engineering, University of Washington, Seattle, 98195, USA"],"affiliations":[{"raw_affiliation_string":"Ioformation Processing Laboratory, Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Information Processing Lab., Dept. of Electrical Engineering, University of Washington, Seattle, 98195, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101420290","display_name":"Ying Luo","orcid":"https://orcid.org/0000-0003-2380-1567"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Luo","raw_affiliation_strings":["Ioformation Processing Laboratory, Department of Electrical Engineering, University of Washington, Seattle, WA, USA","Information Processing Lab., Dept. of Electrical Engineering, University of Washington, Seattle, 98195, USA"],"affiliations":[{"raw_affiliation_string":"Ioformation Processing Laboratory, Department of Electrical Engineering, University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Information Processing Lab., Dept. of Electrical Engineering, University of Washington, Seattle, 98195, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101702810"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":1.344,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79085366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"IV","last_page":"4084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8513575792312622},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.641083836555481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5994434356689453},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.521990180015564},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.48689737915992737},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4698081612586975},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46824967861175537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4608340859413147},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4492824375629425},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4393937885761261},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43372005224227905}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8513575792312622},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.641083836555481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5994434356689453},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.521990180015564},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.48689737915992737},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4698081612586975},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46824967861175537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4608340859413147},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4492824375629425},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4393937885761261},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43372005224227905},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.1109/icassp.2002.5745555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2002.5745555","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Acoustics Speech and Signal Processing","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":22,"referenced_works":["https://openalex.org/W175821084","https://openalex.org/W1494405498","https://openalex.org/W1523411603","https://openalex.org/W1568586930","https://openalex.org/W1575739010","https://openalex.org/W1856476074","https://openalex.org/W1977991519","https://openalex.org/W1985011312","https://openalex.org/W2082453965","https://openalex.org/W2104466503","https://openalex.org/W2125838338","https://openalex.org/W2138043589","https://openalex.org/W2158708335","https://openalex.org/W2160376883","https://openalex.org/W2166428396","https://openalex.org/W2384542382","https://openalex.org/W2979006918","https://openalex.org/W6629508205","https://openalex.org/W6632282560","https://openalex.org/W6639122261","https://openalex.org/W6646792224","https://openalex.org/W6768650569"],"related_works":["https://openalex.org/W2045155990","https://openalex.org/W4313163053","https://openalex.org/W3045811229","https://openalex.org/W4300973204","https://openalex.org/W1483408780","https://openalex.org/W4284884309","https://openalex.org/W2908749798","https://openalex.org/W2105980483","https://openalex.org/W4311555960","https://openalex.org/W4390871823"],"abstract_inverted_index":{"In":[0,27],"this":[1,28],"paper,":[2],"we":[3],"present":[4],"a":[5,39,75],"novel":[6],"scheme":[7,29,100],"for":[8,44,57],"object-based":[9],"video":[10,17,20,30,40,76,91],"analysis":[11],"and":[12,23,52],"interpretation":[13],"based":[14,102],"on":[15,103],"automatic":[16],"object":[18,21,41,111],"extraction,":[19],"abstraction,":[22],"semantic":[24,65,110,130],"event":[25],"modeling.":[26],"objects":[31,88],"(VOs)":[32],"are":[33,68,93,143],"first":[34],"automatically":[35],"extracted,":[36],"followed":[37],"by":[38,83],"abstraction":[42],"algorithm":[43],"identifying":[45],"key":[46],"frames":[47],"to":[48,123],"reduce":[49],"data":[50,56],"redundancy":[51],"provide":[53],"reliable":[54],"feature":[55,98],"next":[58],"stage":[59],"of":[60,106,128,139],"the":[61,64,72,86,90,115,125,129,136,140],"algorithm.":[62],"After":[63],"objects,":[66],"which":[67],"VOs":[69],"that":[70,134],"dominate":[71],"semantics":[73],"in":[74,89,109],"shot,":[77],"a:re":[78],"identified":[79],"(automatically":[80],"or":[81],"selected":[82],"users),":[84],"all":[85],"other":[87],"shot":[92],"considered":[94],"as":[95],"background.":[96],"Semantic":[97],"modeling":[99],"is":[101,121],"temporal":[104],"variation":[105],"low-level":[107],"features":[108],"area.":[112],"More":[113],"specifically,":[114],"general":[116],"Dynamic":[117],"Bayesian":[118],"Network":[119],"(DBN)":[120],"used":[122],"characterize":[124],"spatial-temporal":[126],"nature":[127],"objects.":[131],"Experimental":[132],"results":[133],"demonstrate":[135],"effective":[137],"performance":[138],"proposed":[141],"approach":[142],"also":[144],"presented.":[145]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}