{"id":"https://openalex.org/W2587170444","doi":"https://doi.org/10.1109/globalsip.2016.7906039","title":"Tracking hierarchical structure of web video groups based on salient keyword matching including semantic broadness estimation","display_name":"Tracking hierarchical structure of web video groups based on salient keyword matching including semantic broadness estimation","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2587170444","doi":"https://doi.org/10.1109/globalsip.2016.7906039","mag":"2587170444"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2016.7906039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7906039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5023942291","display_name":"Ryosuke Harakawa","orcid":"https://orcid.org/0000-0002-7166-4440"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryosuke Harakawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Kita-ku, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Kita-ku, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Kita-ku, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Kita-ku, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Kita-ku, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Kita-ku, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023942291"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.6932,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82451469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"abs 1312 3005","issue":null,"first_page":"1238","last_page":"1242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9966999888420105,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.8409682512283325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8326355814933777},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6369900107383728},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5535564422607422},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5366062521934509},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5245064496994019},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.42106541991233826},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41698792576789856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3587219715118408},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.23967501521110535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06937393546104431}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.8409682512283325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8326355814933777},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6369900107383728},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5535564422607422},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5366062521934509},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5245064496994019},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.42106541991233826},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41698792576789856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3587219715118408},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.23967501521110535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06937393546104431},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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":1,"locations":[{"id":"doi:10.1109/globalsip.2016.7906039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2016.7906039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1460189015","https://openalex.org/W1539309091","https://openalex.org/W1625255723","https://openalex.org/W1969247222","https://openalex.org/W1974145285","https://openalex.org/W1985070822","https://openalex.org/W1992266725","https://openalex.org/W2001816467","https://openalex.org/W2081614168","https://openalex.org/W2081980673","https://openalex.org/W2095280378","https://openalex.org/W2099914810","https://openalex.org/W2130776740","https://openalex.org/W2131681506","https://openalex.org/W2131744502","https://openalex.org/W2138035768","https://openalex.org/W2138621811","https://openalex.org/W2162381337","https://openalex.org/W2163174791","https://openalex.org/W2171121044","https://openalex.org/W2229783764","https://openalex.org/W2236905595","https://openalex.org/W2280885563","https://openalex.org/W2293965715","https://openalex.org/W2300902812","https://openalex.org/W2611669587","https://openalex.org/W2949547296","https://openalex.org/W3099768174","https://openalex.org/W4251372957","https://openalex.org/W6632248436","https://openalex.org/W6636494156","https://openalex.org/W6679775712"],"related_works":["https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W3156013036","https://openalex.org/W4388689193","https://openalex.org/W29633852","https://openalex.org/W2091015105","https://openalex.org/W2110899030","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"This":[0],"paper":[1,33],"presents":[2],"a":[3],"novel":[4],"method":[5,51],"to":[6,38,79,123],"track":[7],"the":[8,16,27,35,44,49,54,67,102,116],"hierarchical":[9,45,55,117],"structure":[10,46,56,118],"of":[11,18,29,43,57,64,69,73,101,108,115,128],"Web":[12,58,83,110,130],"video":[13,59,84,111],"groups":[14,60,85],"on":[15,66],"basis":[17,68],"salient":[19,62,91,103],"keyword":[20,92],"matching":[21,93],"including":[22],"semantic":[23,106],"broadness":[24,107],"estimation.":[25],"To":[26],"best":[28],"our":[30,74],"knowledge,":[31],"this":[32],"is":[34,94],"first":[36,52],"work":[37],"perform":[39],"extraction":[40],"and":[41,61,105],"tracking":[42,114],"simultaneously.":[47],"Specifically,":[48],"proposed":[50],"extracts":[53],"keywords":[63,104],"them":[65],"an":[70],"improved":[71],"scheme":[72],"previously":[75],"reported":[76],"method.":[77],"Moreover,":[78],"calculate":[80],"similarities":[81],"between":[82],"obtained":[86],"in":[87],"different":[88],"time":[89,120],"stamps,":[90],"newly":[95],"developed":[96],"by":[97],"considering":[98],"both":[99],"co-occurrences":[100],"each":[109],"group.":[112],"Consequently,":[113],"over":[119],"becomes":[121],"feasible":[122],"easily":[124],"understand":[125],"popularity":[126],"trends":[127],"many":[129],"videos":[131],"for":[132],"realizing":[133],"effective":[134],"retrieval.":[135]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}