{"id":"https://openalex.org/W4399423535","doi":"https://doi.org/10.1145/3652583.3658597","title":"Compact Visual Data Representation for Multimedia Search and Analytics","display_name":"Compact Visual Data Representation for Multimedia Search and Analytics","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4399423535","doi":"https://doi.org/10.1145/3652583.3658597"},"language":"en","primary_location":{"id":"doi:10.1145/3652583.3658597","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658597","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658597","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658597","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111326531","display_name":"Shiqi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-7182-394X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055937409","display_name":"Xinfeng Zhang","orcid":"https://orcid.org/0000-0002-7517-3868"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinfeng Zhang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7517-3868","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111326531"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0701416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1326","last_page":"1327"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983999729156494,"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":0.8394365906715393},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.6365585327148438},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5241755843162537},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.5036668181419373},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5009579658508301},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4527209401130676},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.45271480083465576},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4439631700515747},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4423779547214508},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3729451298713684},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.2899221181869507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28986793756484985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14429789781570435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8394365906715393},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.6365585327148438},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5241755843162537},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.5036668181419373},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5009579658508301},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4527209401130676},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.45271480083465576},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4439631700515747},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4423779547214508},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3729451298713684},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2899221181869507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28986793756484985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14429789781570435},{"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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652583.3658597","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658597","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658597","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3652583.3658597","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658597","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658597","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399423535.pdf","grobid_xml":"https://content.openalex.org/works/W4399423535.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1986121825","https://openalex.org/W2069178104","https://openalex.org/W2166783744","https://openalex.org/W2186356322","https://openalex.org/W2614042628","https://openalex.org/W2623912370","https://openalex.org/W2964191079","https://openalex.org/W2975749976","https://openalex.org/W2984006054","https://openalex.org/W3035739915","https://openalex.org/W3082548248","https://openalex.org/W3088343230","https://openalex.org/W3130131412","https://openalex.org/W3160882100","https://openalex.org/W3162893611","https://openalex.org/W3174847300","https://openalex.org/W3183629544","https://openalex.org/W3194896438","https://openalex.org/W4284691924","https://openalex.org/W4390872984","https://openalex.org/W4392809953"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W2186032312","https://openalex.org/W2094554679"],"abstract_inverted_index":{"With":[0],"the":[1,9,62,91,118,138,165],"exponential":[2],"growth":[3],"of":[4,11,43,93,167],"multimedia":[5,30,55,126,172],"in":[6,29,109,121,142,164],"various":[7,129],"forms,":[8],"volume":[10],"acquired":[12],"visual":[13,45,66,170],"data":[14,46,96],"has":[15],"dramatically":[16],"increased":[17],"while":[18],"their":[19],"value":[20],"intensity":[21],"remains":[22],"relatively":[23],"low.":[24],"This":[25,151],"presents":[26],"significant":[27],"challenges":[28],"search":[31,56],"and":[32,53,57,85,97,131,161,169],"analytics.":[33,58],"In":[34],"this":[35],"tutorial,":[36],"we":[37,115,135],"aim":[38],"to":[39,74,154],"introduce":[40,137],"recent":[41,119,139],"advances":[42,120],"compact":[44],"representation":[47,68,92],"techniques":[48],"that":[49],"enable":[50],"efficient,":[51],"flexible,":[52],"reliable":[54],"We":[59,87],"will":[60,88,116,136],"explore":[61],"shift":[63],"from":[64],"traditional":[65],"information":[67,77],"techniques,":[69],"such":[70],"as":[71,176,178],"video":[72],"coding,":[73],"biologically":[75],"inspired":[76],"processing":[78],"paradigms,":[79],"like":[80],"digital":[81],"retina":[82],"based":[83],"coding":[84,144],"representation.":[86],"also":[89],"discuss":[90,117],"point":[94],"cloud":[95],"Artificial":[98],"Intelligence":[99],"Generated":[100],"Content":[101],"(AIGC)":[102],"data,":[103],"which":[104],"are":[105],"becoming":[106],"increasingly":[107],"popular":[108],"modern":[110],"machine":[111],"vision":[112],"technologies.":[113],"Additionally,":[114],"quality":[122],"assessment":[123],"technologies":[124],"for":[125,148],"signals":[127],"under":[128],"novel":[130],"challenging":[132],"scenarios.":[133],"Finally,":[134],"standardization":[140],"activities":[141],"media":[143],"including":[145],"Video":[146],"Coding":[147],"Machine":[149],"(VCM).":[150],"tutorial":[152],"aims":[153],"stimulate":[155],"fruitful":[156],"discussions,":[157],"encourage":[158],"innovative":[159],"research,":[160],"drive":[162],"advancements":[163],"field":[166],"semantic":[168],"communication,":[171],"search,":[173],"analytics,":[174],"computing":[175],"well":[177],"generative":[179],"AI.":[180]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}