{"id":"https://openalex.org/W2777782689","doi":"https://doi.org/10.1109/dicta.2017.8227504","title":"Video Summarization via Simultaneous Block Sparse Representation","display_name":"Video Summarization via Simultaneous Block Sparse Representation","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2777782689","doi":"https://doi.org/10.1109/dicta.2017.8227504","mag":"2777782689"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2017.8227504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5046390538","display_name":"Mingyang Ma","orcid":"https://orcid.org/0000-0002-2944-628X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyang Ma","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067207818","display_name":"Shaohui Mei","orcid":"https://orcid.org/0000-0002-8018-596X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohui Mei","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055653807","display_name":"Shuai Wan","orcid":"https://orcid.org/0000-0001-8617-149X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Wan","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443935","display_name":"Zhiyong Wang","orcid":"https://orcid.org/0000-0002-8043-0312"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhiyong Wang","raw_affiliation_strings":["School of Information Technologies, The University of Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technologies, The University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dagan Feng","raw_affiliation_strings":["School of Information Technologies, The University of Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technologies, The University of Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5046390538"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.3698,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70594827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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"}},"topics":[{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11309","display_name":"Music and Audio Processing","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.926551342010498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8193392753601074},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.666195273399353},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6657450795173645},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.603140652179718},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5857441425323486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5779860019683838},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5738843679428101},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5414957404136658},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5258869528770447},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4745905101299286},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4655735194683075},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.42686885595321655},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3476703464984894},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3265842795372009},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.24631145596504211},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.235801100730896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08119556307792664}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.926551342010498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8193392753601074},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.666195273399353},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6657450795173645},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.603140652179718},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5857441425323486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5779860019683838},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5738843679428101},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5414957404136658},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5258869528770447},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4745905101299286},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4655735194683075},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.42686885595321655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3476703464984894},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3265842795372009},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.24631145596504211},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.235801100730896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08119556307792664},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dicta.2017.8227504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227504","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"},{"id":"pmh:oai:ses.library.usyd.edu.au:2123/21811","is_oa":false,"landing_page_url":"https://hdl.handle.net/2123/21811","pdf_url":null,"source":{"id":"https://openalex.org/S4306402414","display_name":"The Sydney eScholarship Repository (The University of Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129604602","host_organization_name":"The University of Sydney","host_organization_lineage":["https://openalex.org/I129604602"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Post-print"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W98220398","https://openalex.org/W203342046","https://openalex.org/W1924343884","https://openalex.org/W1964144809","https://openalex.org/W1987366351","https://openalex.org/W1989863986","https://openalex.org/W1990029042","https://openalex.org/W2002645931","https://openalex.org/W2012535394","https://openalex.org/W2028788183","https://openalex.org/W2033431158","https://openalex.org/W2072551889","https://openalex.org/W2077010306","https://openalex.org/W2078204800","https://openalex.org/W2094325573","https://openalex.org/W2094998392","https://openalex.org/W2105174364","https://openalex.org/W2111494488","https://openalex.org/W2114122776","https://openalex.org/W2114129195","https://openalex.org/W2117051369","https://openalex.org/W2118210476","https://openalex.org/W2127271355","https://openalex.org/W2128659236","https://openalex.org/W2129812935","https://openalex.org/W2134577448","https://openalex.org/W2135780853","https://openalex.org/W2143346247","https://openalex.org/W2146482778","https://openalex.org/W2147276092","https://openalex.org/W2147328102","https://openalex.org/W2151693816","https://openalex.org/W2154095534","https://openalex.org/W2236362365","https://openalex.org/W2294690908","https://openalex.org/W2308250245","https://openalex.org/W2471931546","https://openalex.org/W2498245012","https://openalex.org/W2529272619","https://openalex.org/W2532883456","https://openalex.org/W2619196356","https://openalex.org/W4233334381","https://openalex.org/W6640109428","https://openalex.org/W6679470320","https://openalex.org/W6697419950","https://openalex.org/W6698512854"],"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/W1517524280"],"abstract_inverted_index":{"With":[0],"the":[1,20,50,54,63,76,117,124,127,132],"ever":[2],"increasing":[3],"volume":[4],"of":[5,23,113,126,134],"video":[6,11,24,77],"content,":[7],"efficient":[8],"and":[9,138],"effective":[10],"summarization":[12,78],"(VS)":[13],"techniques":[14],"are":[15,99],"urgently":[16],"demanded":[17],"to":[18,62,101],"manage":[19],"large":[21],"amount":[22],"data.":[25],"Recent":[26],"developments":[27],"on":[28,106],"sparse":[29,86],"representation":[30,87],"based":[31],"approaches":[32,42],"have":[33],"demonstrated":[34],"promising":[35],"results":[36,105],"for":[37],"VS.":[38],"While":[39],"most":[40],"existing":[41],"treat":[43],"each":[44],"frame":[45,69],"independently,":[46],"in":[47,59,66],"this":[48],"paper,":[49],"block-sparsity,":[51],"which":[52],"means":[53],"keyframes":[55],"or":[56],"non-keyframes":[57],"occur":[58],"blocks":[60],"due":[61],"content":[64],"similarity":[65],"a":[67,83,107],"same":[68],"block,":[70],"is":[71,80],"taken":[72],"into":[73],"account.":[74],"Therefore,":[75],"problem":[79],"formulated":[81],"as":[82],"simultaneous":[84,92],"block":[85,93],"model.":[88],"For":[89],"model":[90],"optimization,":[91],"orthogonal":[94],"matching":[95],"pursuit":[96],"(SBOMP)":[97],"algorithms":[98,119],"designed":[100],"extract":[102],"keyframes.":[103],"Experimental":[104],"benchmark":[108],"dataset":[109],"with":[110],"various":[111],"types":[112],"videos":[114],"demonstrate":[115],"that":[116],"proposed":[118],"can":[120],"not":[121],"only":[122],"outperform":[123],"state":[125],"art,":[128],"but":[129],"also":[130],"reduce":[131],"probability":[133],"selecting":[135],"non-informative":[136],"frames":[137],"\"outlier\"frames.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-27T08:22:11.395708","created_date":"2025-10-10T00:00:00"}