{"id":"https://openalex.org/W4286233709","doi":"https://doi.org/10.1145/3503161.3547843","title":"Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention","display_name":"Show Me What I Like: Detecting User-Specific Video Highlights Using Content-Based Multi-Head Attention","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4286233709","doi":"https://doi.org/10.1145/3503161.3547843"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3547843","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547843","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.08352","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042584669","display_name":"Uttaran Bhattacharya","orcid":"https://orcid.org/0000-0003-2141-9276"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Uttaran Bhattacharya","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072969773","display_name":"Gang Wu","orcid":"https://orcid.org/0000-0002-9855-6300"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Wu","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066303231","display_name":"Stefano Petrangeli","orcid":"https://orcid.org/0000-0002-5492-7747"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stefano Petrangeli","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022934605","display_name":"Viswanathan Swaminathan","orcid":"https://orcid.org/0000-0002-1357-1502"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Viswanathan Swaminathan","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004194238","display_name":"Dinesh Manocha","orcid":"https://orcid.org/0000-0001-7047-9801"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinesh Manocha","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"591","last_page":"600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":1.0,"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":1.0,"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":0.9970999956130981,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.858677089214325},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.8002924919128418},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6114283800125122},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6007394790649414},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5965214967727661},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4940193295478821},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47524547576904297},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4401390552520752},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.42416831851005554},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4226698577404022},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41234713792800903},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3909301161766052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.858677089214325},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.8002924919128418},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6114283800125122},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6007394790649414},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5965214967727661},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4940193295478821},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47524547576904297},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4401390552520752},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.42416831851005554},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4226698577404022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41234713792800903},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3909301161766052},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3503161.3547843","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3547843","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2207.08352","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.08352","pdf_url":"https://arxiv.org/pdf/2207.08352","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.08352","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.08352","pdf_url":"https://arxiv.org/pdf/2207.08352","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5831641325","display_name":null,"funder_award_id":"W911NF1910069 and W911NF2110026","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W329267344","https://openalex.org/W1847618513","https://openalex.org/W1904325426","https://openalex.org/W1910566948","https://openalex.org/W1926243429","https://openalex.org/W1958932515","https://openalex.org/W2036593095","https://openalex.org/W2036739593","https://openalex.org/W2054141820","https://openalex.org/W2061212083","https://openalex.org/W2094998392","https://openalex.org/W2103908291","https://openalex.org/W2109152179","https://openalex.org/W2120645068","https://openalex.org/W2139009685","https://openalex.org/W2141080726","https://openalex.org/W2194345886","https://openalex.org/W2233620181","https://openalex.org/W2467794422","https://openalex.org/W2512971201","https://openalex.org/W2517959782","https://openalex.org/W2529272619","https://openalex.org/W2604792808","https://openalex.org/W2737677090","https://openalex.org/W2766630207","https://openalex.org/W2791295466","https://openalex.org/W2792140610","https://openalex.org/W2793756304","https://openalex.org/W2797074994","https://openalex.org/W2885377438","https://openalex.org/W2895758197","https://openalex.org/W2897091983","https://openalex.org/W2898447949","https://openalex.org/W2919974746","https://openalex.org/W2948303601","https://openalex.org/W2962677647","https://openalex.org/W2963445669","https://openalex.org/W2963729528","https://openalex.org/W2963919999","https://openalex.org/W2964158702","https://openalex.org/W2964167369","https://openalex.org/W2966683369","https://openalex.org/W2982672255","https://openalex.org/W3105607218","https://openalex.org/W3106645934","https://openalex.org/W3198464943","https://openalex.org/W3207805210","https://openalex.org/W4230243214","https://openalex.org/W4238358009","https://openalex.org/W4252959399","https://openalex.org/W6931202655"],"related_works":["https://openalex.org/W2417253731","https://openalex.org/W2350469024","https://openalex.org/W2491583298","https://openalex.org/W2036154621","https://openalex.org/W2327827625","https://openalex.org/W2395860100","https://openalex.org/W795077857","https://openalex.org/W2376416463","https://openalex.org/W3164304719","https://openalex.org/W2007338512"],"abstract_inverted_index":{"We":[0,52,85,113,150],"propose":[1],"a":[2,54,78,118],"method":[3,28,116,181],"to":[4,58,103,131,177],"detect":[5],"individualized":[6],"highlights":[7,126],"for":[8,45,82],"users":[9],"on":[10,15,21,65,117,156,170],"given":[11],"target":[12,40,101,111],"videos":[13,23,41,102],"based":[14,64],"their":[16,66],"preferred":[17,36,62,160],"highlight":[18,107,120,161],"clips":[19,37,63,108,162],"marked":[20],"previous":[22],"they":[24],"have":[25],"watched.":[26],"Our":[27],"explicitly":[29],"leverages":[30],"the":[31,35,39,46,49,61,94,99,105,110,124,142,147,157,171],"contents":[32],"of":[33,127,139,146,159],"both":[34,184],"and":[38,48,68,71,93,173,186],"using":[42,74],"pre-trained":[43],"features":[44,96],"objects":[47],"human":[50],"activities.":[51],"design":[53],"multi-head":[55],"attention":[56],"mechanism":[57],"adaptively":[59],"weigh":[60],"object-":[67,172],"human-activity-based":[69,174],"contents,":[70],"fuse":[72],"them":[73],"these":[75,89],"weights":[76],"into":[77],"single":[79],"feature":[80,91,175],"representation":[81],"each":[83,165],"user.":[84],"compute":[86],"similarities":[87],"between":[88],"per-user":[90],"representations":[92,176],"per-frame":[95],"computed":[97],"from":[98,109],"desired":[100],"estimate":[104],"user-specific":[106],"videos.":[112],"test":[114],"our":[115,180],"large-scale":[119],"detection":[121],"dataset":[122],"containing":[123],"annotated":[125],"individual":[128],"users.":[129],"Compared":[130],"current":[132],"baselines,":[133],"we":[134],"observe":[135],"an":[136],"absolute":[137],"improvement":[138],"2-4%":[140],"in":[141],"mean":[143],"average":[144],"precision":[145],"detected":[148],"highlights.":[149],"also":[151],"perform":[152],"extensive":[153],"ablation":[154],"experiments":[155],"number":[158],"associated":[163],"with":[164],"user":[166],"as":[167,169],"well":[168],"validate":[178],"that":[179],"is":[182],"indeed":[183],"content-based":[185],"user-specific.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
