{"id":"https://openalex.org/W2293699802","doi":"https://doi.org/10.1109/icip.2015.7351407","title":"A compact shot representation for video semantic indexing","display_name":"A compact shot representation for video semantic indexing","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2293699802","doi":"https://doi.org/10.1109/icip.2015.7351407","mag":"2293699802"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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/A5084797829","display_name":"Jinzhuo Wang","orcid":"https://orcid.org/0000-0002-9464-4426"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinzhuo Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017052768","display_name":"Wenmin Wang","orcid":"https://orcid.org/0000-0003-2664-4413"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenmin Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050071143","display_name":"Ronggang Wang","orcid":"https://orcid.org/0000-0003-0873-0465"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronggang Wang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042721210","display_name":"Wen Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Gao","raw_affiliation_strings":["National Engineering Laboratory for Video Technology, Peking University"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Video Technology, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084797829"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.1999,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61459006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"3265","last_page":"3269"},"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":0.9995999932289124,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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/pyramid","display_name":"Pyramid (geometry)","score":0.7763955593109131},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7577901482582092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7520406246185303},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6886003017425537},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6657403707504272},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6603747606277466},{"id":"https://openalex.org/keywords/key-frame","display_name":"Key frame","score":0.6588426828384399},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6400691866874695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5686134696006775},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5615670084953308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5593466758728027},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.5047229528427124},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.46591997146606445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.173458069562912},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08950746059417725}],"concepts":[{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.7763955593109131},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7577901482582092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7520406246185303},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6886003017425537},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6657403707504272},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6603747606277466},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.6588426828384399},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6400691866874695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5686134696006775},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5615670084953308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5593466758728027},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.5047229528427124},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.46591997146606445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.173458069562912},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08950746059417725},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2015.7351407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","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":29,"referenced_works":["https://openalex.org/W1597084354","https://openalex.org/W2003686830","https://openalex.org/W2024868105","https://openalex.org/W2027922120","https://openalex.org/W2031926163","https://openalex.org/W2104978738","https://openalex.org/W2105101328","https://openalex.org/W2108333036","https://openalex.org/W2115536324","https://openalex.org/W2126574503","https://openalex.org/W2136917337","https://openalex.org/W2142194269","https://openalex.org/W2153635508","https://openalex.org/W2169091514","https://openalex.org/W2172188317","https://openalex.org/W2181890448","https://openalex.org/W2187518562","https://openalex.org/W2295982193","https://openalex.org/W2405721174","https://openalex.org/W2914885528","https://openalex.org/W2918065879","https://openalex.org/W3120421331","https://openalex.org/W4252911702","https://openalex.org/W6675734358","https://openalex.org/W6685033728","https://openalex.org/W6685429886","https://openalex.org/W6686973683","https://openalex.org/W6697353735","https://openalex.org/W6713483778"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2350427440","https://openalex.org/W878158805","https://openalex.org/W2096345116"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,61,80],"compact":[4],"shot":[5],"representation":[6,14],"for":[7],"video":[8],"semantic":[9],"indexing":[10],"(SIN).":[11],"The":[12,38],"proposed":[13],"consists":[15],"of":[16,52,82],"visual":[17],"cues":[18],"from":[19,56],"only":[20],"two":[21],"frames,":[22],"i.e.,":[23],"key":[24,73],"frame":[25,29,74],"(KF)":[26],"and":[27,109],"difference":[28,69],"(DF),":[30],"which":[31,64],"are":[32],"both":[33],"constructed":[34],"with":[35,71],"spatial":[36],"pyramid.":[37],"KF":[39],"describes":[40],"static":[41],"information":[42],"while":[43,104],"the":[44,57,66,72,102],"generated":[45],"DF":[46,53,83],"captures":[47],"non-static":[48],"information.":[49],"Each":[50],"region":[51],"is":[54],"derived":[55],"same":[58],"location":[59],"in":[60,75],"selected":[62],"frame,":[63],"has":[65],"most":[67],"salient":[68],"compared":[70],"that":[76,95],"region.":[77],"We":[78],"introduce":[79],"variation":[81],"to":[84],"further":[85],"enhance":[86],"our":[87,96],"model.":[88],"Experimental":[89],"results":[90],"on":[91],"TRECVID":[92],"SIN":[93],"demonstrate":[94],"method":[97],"obtains":[98],"better":[99],"accuracy":[100],"than":[101],"state-of-the-art,":[103],"requiring":[105],"less":[106],"storage":[107],"space":[108],"consuming":[110],"time.":[111]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}