{"id":"https://openalex.org/W3206609141","doi":"https://doi.org/10.1145/3474085.3475549","title":"Video Similarity and Alignment Learning on Partial Video Copy Detection","display_name":"Video Similarity and Alignment Learning on Partial Video Copy Detection","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3206609141","doi":"https://doi.org/10.1145/3474085.3475549","mag":"3206609141"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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/A5027802291","display_name":"Zhen Han","orcid":"https://orcid.org/0000-0002-1862-4781"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Han","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017511861","display_name":"Xiangteng He","orcid":"https://orcid.org/0000-0001-8502-5685"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangteng He","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034814310","display_name":"Mingqian Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqian Tang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016207654","display_name":"Yiliang Lv","orcid":"https://orcid.org/0000-0002-3101-5569"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiliang Lv","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027802291"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":2.3276,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90419007,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4165","last_page":"4173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9986000061035156,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/similarity","display_name":"Similarity (geometry)","score":0.8274662494659424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7476382851600647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6526231169700623},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5705706477165222},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5106673836708069},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5030259490013123},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.476113885641098},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.45323657989501953},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.4302380681037903},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36375945806503296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26035624742507935},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07375380396842957}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8274662494659424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476382851600647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6526231169700623},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5705706477165222},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5106673836708069},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5030259490013123},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.476113885641098},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.45323657989501953},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.4302380681037903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36375945806503296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26035624742507935},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07375380396842957},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3475549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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":25,"referenced_works":["https://openalex.org/W1584228047","https://openalex.org/W2025432722","https://openalex.org/W2059245310","https://openalex.org/W2067766814","https://openalex.org/W2096395091","https://openalex.org/W2119062120","https://openalex.org/W2124795170","https://openalex.org/W2129795158","https://openalex.org/W2162659160","https://openalex.org/W2344188636","https://openalex.org/W2550782675","https://openalex.org/W2557612671","https://openalex.org/W2563614140","https://openalex.org/W2566258058","https://openalex.org/W2610097821","https://openalex.org/W2626778328","https://openalex.org/W2769342113","https://openalex.org/W2799050036","https://openalex.org/W2879969167","https://openalex.org/W2903570154","https://openalex.org/W2949298458","https://openalex.org/W2989871649","https://openalex.org/W2990730805","https://openalex.org/W3101275901","https://openalex.org/W3119259789"],"related_works":["https://openalex.org/W2372745973","https://openalex.org/W2366015234","https://openalex.org/W2319693127","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2790658443","https://openalex.org/W1940044583","https://openalex.org/W2056226831","https://openalex.org/W2806903871","https://openalex.org/W4320802053"],"abstract_inverted_index":{"Existing":[0],"video":[1,7,26,38,192],"copy":[2,55,193],"detection":[3,194],"methods":[4,35],"generally":[5],"measure":[6],"similarity":[8,19,27,39,79,87,93,131,146,170],"based":[9],"on":[10,114,143,180],"spatial":[11,31,76,86,101,130],"similarities":[12],"between":[13],"key":[14],"frames,":[15],"neglecting":[16],"the":[17,25,52,60,65,85,91,95,107,115,123,129,133,139,144,150,153,165,169,177,209],"latent":[18],"in":[20,40,215],"temporal":[21,78,92],"dimension,":[22],"so":[23],"that":[24],"is":[28,126,221],"biased":[29],"towards":[30],"information.":[32],"There":[33],"are":[34],"modeling":[36],"unified":[37],"an":[41],"end-to-end":[42],"way,":[43],"but":[44],"losing":[45],"detailed":[46],"partial":[47,81,116,121,141,159,191],"alignment":[48,172],"information,":[49],"which":[50,73],"causes":[51],"incapability":[53],"of":[54,109,138,164,190],"segments":[56],"localization.":[57],"To":[58,83,118],"address":[59],"above":[61],"issues,":[62],"we":[63,89,185],"propose":[64],"Video":[66],"Similarity":[67],"and":[68,80,171,195],"Alignment":[69],"Learning":[70],"(VSAL)":[71],"approach,":[72],"jointly":[74],"models":[75],"similarity,":[77,102],"alignment.":[82],"mitigate":[84],"bias,":[88],"model":[90],"as":[94],"mask":[96,151],"map":[97,125],"predicted":[98],"from":[99,128,149],"frame-level":[100],"where":[103,132,205],"each":[104],"element":[105],"indicates":[106],"probability":[108],"frame":[110],"pair":[111],"lying":[112],"right":[113],"alignments.":[117],"further":[119],"localize":[120],"copies,":[122],"step":[124,166],"learned":[127],"elements":[134],"indicate":[135],"extending":[136],"directions":[137],"current":[140],"alignments":[142,161],"spatial-temporal":[145],"map.":[147,167],"Obtained":[148],"map,":[152],"start":[154],"points":[155],"extend":[156],"out":[157],"into":[158],"optimal":[160],"following":[162],"instructions":[163],"With":[168],"learning":[173],"strategy,":[174],"VSAL":[175,206],"achieves":[176,208],"state-of-the-art":[178],"F1-score":[179],"VCDB":[181],"core":[182],"dataset.":[183],"Furthermore,":[184],"construct":[186],"a":[187],"new":[188,199],"benchmark":[189],"localization":[196],"by":[197],"adding":[198],"segment-level":[200],"annotations":[201],"for":[202],"FIVR-200k":[203],"dataset,":[204],"also":[207],"best":[210],"performance,":[211],"verifying":[212],"its":[213],"effectiveness":[214],"more":[216],"challenging":[217],"situations.":[218],"Our":[219],"project":[220],"publicly":[222],"available":[223],"at":[224],"https://pvcd-vsal.github.io/vsal/.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}