{"id":"https://openalex.org/W2808170931","doi":"https://doi.org/10.1145/3206025.3206083","title":"Temporal Aggregation of Visual Features for Large-Scale Image-to-Video Retrieval","display_name":"Temporal Aggregation of Visual Features for Large-Scale Image-to-Video Retrieval","publication_year":2018,"publication_date":"2018-06-05","ids":{"openalex":"https://openalex.org/W2808170931","doi":"https://doi.org/10.1145/3206025.3206083","mag":"2808170931"},"language":"en","primary_location":{"id":"doi:10.1145/3206025.3206083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206025.3206083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM on 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/A5028370193","display_name":"Noa Garc\u00eda","orcid":"https://orcid.org/0000-0002-9200-6359"},"institutions":[{"id":"https://openalex.org/I169199633","display_name":"Aston University","ror":"https://ror.org/05j0ve876","country_code":"GB","type":"education","lineage":["https://openalex.org/I169199633"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Noa Garcia","raw_affiliation_strings":["Aston University, Birmingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Aston University, Birmingham, United Kingdom","institution_ids":["https://openalex.org/I169199633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028370193"],"corresponding_institution_ids":["https://openalex.org/I169199633"],"apc_list":null,"apc_paid":null,"fwci":0.6267,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73654893,"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":"489","last_page":"492"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9991999864578247,"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":0.9990000128746033,"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":0.83237224817276},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.7431532144546509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6773704290390015},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6621189117431641},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5631734132766724},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5147121548652649},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4681691527366638},{"id":"https://openalex.org/keywords/video-retrieval","display_name":"Video retrieval","score":0.4475897550582886},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.43166303634643555},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42484980821609497},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3445853590965271},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2918412685394287}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83237224817276},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.7431532144546509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6773704290390015},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6621189117431641},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5631734132766724},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5147121548652649},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4681691527366638},{"id":"https://openalex.org/C2983174267","wikidata":"https://www.wikidata.org/wiki/Q3775098","display_name":"Video retrieval","level":2,"score":0.4475897550582886},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.43166303634643555},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42484980821609497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3445853590965271},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2918412685394287},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3206025.3206083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3206025.3206083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval","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/W204268067","https://openalex.org/W1491719799","https://openalex.org/W1677409904","https://openalex.org/W1686810756","https://openalex.org/W1966385142","https://openalex.org/W1968157484","https://openalex.org/W1983364832","https://openalex.org/W1983533914","https://openalex.org/W2015688490","https://openalex.org/W2035364148","https://openalex.org/W2040003688","https://openalex.org/W2064675550","https://openalex.org/W2069021608","https://openalex.org/W2128017662","https://openalex.org/W2131846894","https://openalex.org/W2151103935","https://openalex.org/W2174726731","https://openalex.org/W2175030374","https://openalex.org/W2342628616","https://openalex.org/W2499468060","https://openalex.org/W2544587078","https://openalex.org/W2556930864","https://openalex.org/W2588534625","https://openalex.org/W2963100314","https://openalex.org/W2963389687"],"related_works":["https://openalex.org/W2990667865","https://openalex.org/W2154757407","https://openalex.org/W1511650216","https://openalex.org/W2004643608","https://openalex.org/W1563547568","https://openalex.org/W2003020068","https://openalex.org/W2612705911","https://openalex.org/W3190424778","https://openalex.org/W2889366376","https://openalex.org/W2391030112"],"abstract_inverted_index":{"In":[0,82],"this":[1,83],"research":[2],"we":[3,85],"study":[4],"the":[5,66,75,108,111],"specific":[6,20],"task":[7],"of":[8,27,33,37,40,50,68],"image-to-video":[9,112],"retrieval,":[10,60],"in":[11],"which":[12],"static":[13],"pictures":[14],"are":[15],"used":[16],"to":[17,52,64,70,89],"find":[18],"a":[19,25,38],"timestamp":[21],"or":[22,44],"frame":[23],"within":[24],"collection":[26],"videos.":[28],"The":[29],"inner":[30],"temporal":[31,92],"structure":[32],"video":[34,95],"data":[35,69,96],"consists":[36],"sequence":[39],"highly":[41,79],"correlated":[42,80],"images":[43],"frames,":[45],"commonly":[46],"reproduced":[47],"at":[48],"rates":[49],"24":[51],"30":[53],"frames":[54],"per":[55],"second.":[56],"To":[57],"perform":[58],"large-scale":[59],"it":[61],"is":[62],"necessary":[63],"reduce":[65],"amount":[67],"be":[71],"processed":[72],"by":[73],"exploiting":[74],"redundancy":[76],"between":[77],"these":[78],"images.":[81],"work,":[84],"explore":[86],"several":[87],"techniques":[88],"aggregate":[90],"visual":[91],"information":[93],"from":[94],"based":[97],"on":[98,110],"both":[99],"standard":[100],"local":[101],"features":[102],"and":[103],"deep":[104],"learning":[105],"representations":[106],"with":[107],"focus":[109],"retrieval":[113],"task.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}