{"id":"https://openalex.org/W2116994965","doi":"https://doi.org/10.1109/vast.2007.4389003","title":"Analyzing Large-Scale News Video Databases to Support Knowledge Visualization and Intuitive Retrieval","display_name":"Analyzing Large-Scale News Video Databases to Support Knowledge Visualization and Intuitive Retrieval","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2116994965","doi":"https://doi.org/10.1109/vast.2007.4389003","mag":"2116994965"},"language":"en","primary_location":{"id":"doi:10.1109/vast.2007.4389003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2007.4389003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Symposium on Visual Analytics Science and Technology","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/A5043852046","display_name":"Hangzai Luo","orcid":"https://orcid.org/0000-0003-3354-5739"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hangzai Luo","raw_affiliation_strings":["Software Engineering Institute, East China Jiao Tong University, Shanghai, China","East China Normal University (Shanghai)"],"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I4210128818"]},{"raw_affiliation_string":"East China Normal University (Shanghai)","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728564","display_name":"Jianping Fan","orcid":"https://orcid.org/0000-0002-4923-0910"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianping Fan","raw_affiliation_strings":["Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA","Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA. e-mail: [email\u00a0protected]#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA. e-mail: [email\u00a0protected]#TAB#","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032694211","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0001-9218-6954"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA","Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA. e-mail: jyang13@uncc.edu"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA. e-mail: jyang13@uncc.edu","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110208682","display_name":"William Ribarsky","orcid":null},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Ribarsky","raw_affiliation_strings":["Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA","Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA. e-mail: ribarsky@uncc.edu#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA. e-mail: ribarsky@uncc.edu#TAB#","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102743927","display_name":"Shin\u2019ichi Satoh","orcid":"https://orcid.org/0000-0001-6995-6447"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin'ichi Satoh","raw_affiliation_strings":["National Institute of Information, Tokyo, Japan","National Institute of Informatics, Tokyo, Japan. e-mail: [email\u00a0protected]#TAB#"],"affiliations":[{"raw_affiliation_string":"National Institute of Information, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan. e-mail: [email\u00a0protected]#TAB#","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043852046"],"corresponding_institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":3.8951,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93890405,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"114"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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":0.9987000226974487,"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":0.8205590844154358},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7460737824440002},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"Video retrieval","score":0.5727962851524353},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5031442046165466},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.46645087003707886},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41717779636383057},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.39852625131607056},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3767147362232208},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3688032031059265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1290452480316162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8205590844154358},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7460737824440002},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.5727962851524353},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5031442046165466},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.46645087003707886},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41717779636383057},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.39852625131607056},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3767147362232208},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3688032031059265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1290452480316162},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vast.2007.4389003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast.2007.4389003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE Symposium on Visual Analytics Science and Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1710511026","https://openalex.org/W1854214752","https://openalex.org/W1910357707","https://openalex.org/W1969159535","https://openalex.org/W2025825835","https://openalex.org/W2066610120","https://openalex.org/W2114313114","https://openalex.org/W2121640955","https://openalex.org/W2130660124","https://openalex.org/W2134685109","https://openalex.org/W2138043589","https://openalex.org/W2141018272","https://openalex.org/W2148151237","https://openalex.org/W2170480930","https://openalex.org/W3158908792","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2134063137","https://openalex.org/W655728004","https://openalex.org/W2046272293"],"abstract_inverted_index":{"In":[0,118],"this":[1],"paper,":[2],"we":[3],"have":[4,103],"developed":[5],"a":[6,37],"novel":[7,38],"framework":[8,71],"to":[9,47,50,106,129],"enable":[10,48,107],"more":[11,108],"effective":[12,109],"investigation":[13],"of":[14,29,34,54,74,113],"large-scale":[15,65,114],"news":[16,35,43,52,67,97,115,120,135],"video":[17,42,66,78,90,98,116,121,136],"database":[18],"via":[19],"knowledge":[20,33,63,101,139],"visualization.":[21],"To":[22],"relieve":[23],"users":[24,49],"from":[25],"the":[26,61,104],"burdensome":[27],"exploration":[28,112,124],"well-known":[30],"and":[31,59,80,100,111,123,138],"uninteresting":[32],"reports,":[36],"interestingness":[39],"measurement":[40],"for":[41,133],"reports":[44],"is":[45],"presented":[46],"find":[51],"stories":[53],"interest":[55],"at":[56],"first":[57],"glance":[58],"capture":[60],"relevant":[62],"in":[64],"databases":[68],"efficiently.":[69],"Our":[70,93],"takes":[72],"advantage":[73],"both":[75],"automatic":[76],"semantic":[77,89],"analysis":[79,99,137],"human":[81],"intelligence":[82],"by":[83],"integrating":[84],"with":[85],"visualization":[86,110,122],"techniques":[87,94,132],"on":[88,95],"retrieval":[91],"systems.":[92],"intelligent":[96,134],"discovery":[102],"capacity":[105],"collections.":[117],"addition,":[119],"can":[125],"provide":[126],"valuable":[127],"feedback":[128],"improve":[130],"our":[131],"discovery.":[140]},"counts_by_year":[{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}