{"id":"https://openalex.org/W2003024796","doi":"https://doi.org/10.1145/1463563.1463589","title":"Rushes summarization based on color, motion and face","display_name":"Rushes summarization based on color, motion and face","publication_year":2008,"publication_date":"2008-10-31","ids":{"openalex":"https://openalex.org/W2003024796","doi":"https://doi.org/10.1145/1463563.1463589","mag":"2003024796"},"language":"en","primary_location":{"id":"doi:10.1145/1463563.1463589","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1463563.1463589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM TRECVid Video Summarization Workshop","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/A5019886490","display_name":"Akitsugu Noguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akitsugu Noguchi","raw_affiliation_strings":["The University of Electro-Communications, Tokyo, Japan","[The University of Electro Communications,Tokyo,Japan]"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"[The University of Electro Communications,Tokyo,Japan]","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054600485","display_name":"\u202aKeiji Yanai\u202c","orcid":"https://orcid.org/0000-0002-0431-183X"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiji Yanai","raw_affiliation_strings":["The University of Electro-Communications, Tokyo, Japan","[The University of Electro Communications,Tokyo,Japan]"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"[The University of Electro Communications,Tokyo,Japan]","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5019886490"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":1.0535,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78409783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"143"},"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":0.9998000264167786,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.882377028465271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8155913352966309},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7811621427536011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7421544790267944},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.7311757206916809},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7203986048698425},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6373562216758728},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.517693042755127},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.066947340965271}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.882377028465271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8155913352966309},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7811621427536011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421544790267944},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7311757206916809},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7203986048698425},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6373562216758728},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.517693042755127},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.066947340965271},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1463563.1463589","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1463563.1463589","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM TRECVid Video Summarization Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W1974875685","https://openalex.org/W2027147254","https://openalex.org/W2028582118","https://openalex.org/W2058159686","https://openalex.org/W2118877769","https://openalex.org/W2151103935","https://openalex.org/W2164598857","https://openalex.org/W6636494156"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W4306886878","https://openalex.org/W2973759123","https://openalex.org/W2132337154"],"abstract_inverted_index":{"In":[0,20,52],"this":[1],"paper,":[2],"we":[3,56,78],"present":[4],"a":[5,76],"method":[6],"for":[7],"the":[8,21,42,53,62],"Rushes":[9],"Summarization":[10],"task":[11],"which":[12,60],"is":[13,28],"one":[14],"of":[15,17],"tasks":[16],"TRECVID":[18],"2008.":[19],"proposed":[22],"method,":[23,44],"first":[24],"an":[25],"input":[26],"video":[27],"decomposed":[29],"into":[30],"shots":[31,38],"by":[32,41],"comparing":[33],"consecutive":[34],"frames.":[35],"Then,":[36],"these":[37],"are":[39],"grouped":[40],"k-means":[43],"using":[45],"color,":[46],"motion":[47,72,82],"and":[48,68,70,73,84],"faces":[49],"as":[50],"features.":[51],"preliminary":[54],"experiments,":[55],"compared":[57],"three":[58],"systems":[59],"employed":[61],"following":[63],"feature":[64],"combinations:":[65],"\"color\",":[66],"\"color":[67],"motion\"":[69],"\"color,":[71],"faces\".":[74],"As":[75],"result,":[77],"found":[79],"out":[80],"that":[81],"features":[83,86],"face":[85],"were":[87],"effective.":[88]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}