{"id":"https://openalex.org/W3033977115","doi":"https://doi.org/10.1145/3372278.3390737","title":"Attention Mechanisms, Signal Encodings and Fusion Strategies for Improved Ad-hoc Video Search with Dual Encoding Networks","display_name":"Attention Mechanisms, Signal Encodings and Fusion Strategies for Improved Ad-hoc Video Search with Dual Encoding Networks","publication_year":2020,"publication_date":"2020-06-02","ids":{"openalex":"https://openalex.org/W3033977115","doi":"https://doi.org/10.1145/3372278.3390737","mag":"3033977115"},"language":"en","primary_location":{"id":"doi:10.1145/3372278.3390737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","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/A5066412228","display_name":"Damianos Galanopoulos","orcid":"https://orcid.org/0000-0002-1852-4545"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Damianos Galanopoulos","raw_affiliation_strings":["CERTH-ITI, Thermi-Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"CERTH-ITI, Thermi-Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059096027","display_name":"Vasileios Mezaris","orcid":"https://orcid.org/0000-0002-0121-4364"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasileios Mezaris","raw_affiliation_strings":["CERTH-ITI, Thermi-Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"CERTH-ITI, Thermi-Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066412228"],"corresponding_institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"],"apc_list":null,"apc_paid":null,"fwci":1.6609,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86282517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"336","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T11714","display_name":"Multimodal Machine Learning Applications","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/T11439","display_name":"Video Analysis and Summarization","score":0.9994000196456909,"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":0.8135091066360474},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.784958004951477},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6309483051300049},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"Video retrieval","score":0.5753226280212402},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5314575433731079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4587472081184387},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4260522127151489},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4220128059387207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8135091066360474},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.784958004951477},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6309483051300049},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.5753226280212402},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5314575433731079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4587472081184387},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4260522127151489},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4220128059387207},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372278.3390737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372278.3390737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2062903088","https://openalex.org/W2127944900","https://openalex.org/W2142540378","https://openalex.org/W2157331557","https://openalex.org/W2194775991","https://openalex.org/W2425121537","https://openalex.org/W2549139847","https://openalex.org/W2560835477","https://openalex.org/W2597655663","https://openalex.org/W2602856279","https://openalex.org/W2616994964","https://openalex.org/W2753311918","https://openalex.org/W2808399042","https://openalex.org/W2898936689","https://openalex.org/W2950577311","https://openalex.org/W2963293463","https://openalex.org/W2963341956","https://openalex.org/W2963499204","https://openalex.org/W2975813532","https://openalex.org/W2979933490","https://openalex.org/W2981716253","https://openalex.org/W2990153998","https://openalex.org/W3013133907","https://openalex.org/W3041842954","https://openalex.org/W3102887392","https://openalex.org/W6775478346"],"related_works":["https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W2374013449","https://openalex.org/W73545470","https://openalex.org/W2364381299","https://openalex.org/W2374430585","https://openalex.org/W3144423903","https://openalex.org/W2377397762","https://openalex.org/W2361654993","https://openalex.org/W2392886218"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,30,45,65,89,92],"problem":[4],"of":[5,24,29,47,64,91],"unlabeled":[6],"video":[7],"retrieval":[8],"using":[9],"textual":[10,33,68],"queries":[11],"is":[12],"addressed.":[13],"We":[14],"present":[15],"an":[16],"extended":[17],"dual":[18],"encoding":[19],"network":[20],"which":[21],"makes":[22],"use":[23],"more":[25,57],"than":[26],"one":[27],"encodings":[28,63],"visual":[31,66],"and":[32,67,83],"content,":[34],"as":[35,37],"well":[36],"two":[38],"different":[39,62],"attention":[40],"mechanisms.":[41],"The":[42,61],"latter":[43],"serve":[44],"purpose":[46],"highlighting":[48],"temporal":[49],"locations":[50],"in":[51],"every":[52],"modality":[53],"that":[54],"can":[55],"contribute":[56],"to":[58],"effective":[59],"retrieval.":[60],"inputs,":[69],"along":[70],"with":[71,85],"early/late":[72],"fusion":[73],"strategies,":[74],"are":[75],"examined":[76],"for":[77],"further":[78],"improving":[79],"performance.":[80],"Experimental":[81],"evaluations":[82],"comparisons":[84],"state-of-the-art":[86],"methods":[87],"document":[88],"merit":[90],"proposed":[93],"network.":[94]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}