{"id":"https://openalex.org/W2170785073","doi":"https://doi.org/10.1145/2516890","title":"Efficient Video Stream Monitoring for Near-Duplicate Detection and Localization in a Large-Scale Repository","display_name":"Efficient Video Stream Monitoring for Near-Duplicate Detection and Localization in a Large-Scale Repository","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2170785073","doi":"https://doi.org/10.1145/2516890","mag":"2170785073"},"language":"en","primary_location":{"id":"doi:10.1145/2516890","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2516890","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5004144189","display_name":"Chih\u2010Yi Chiu","orcid":"https://orcid.org/0000-0002-2859-6120"},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Yi Chiu","raw_affiliation_strings":["National Chiayi University"],"affiliations":[{"raw_affiliation_string":"National Chiayi University","institution_ids":["https://openalex.org/I183570559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062323682","display_name":"Tsung\u2010Han Tsai","orcid":"https://orcid.org/0000-0001-7524-0621"},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Han Tsai","raw_affiliation_strings":["National Chiayi University"],"affiliations":[{"raw_affiliation_string":"National Chiayi University","institution_ids":["https://openalex.org/I183570559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087562165","display_name":"Guei-Wun Han","orcid":null},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Guei-Wun Han","raw_affiliation_strings":["National Chiayi University"],"affiliations":[{"raw_affiliation_string":"National Chiayi University","institution_ids":["https://openalex.org/I183570559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020968560","display_name":"Cheng-Yu Hsieh","orcid":"https://orcid.org/0000-0002-2826-1435"},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Yu Hsieh","raw_affiliation_strings":["National Chiayi University"],"affiliations":[{"raw_affiliation_string":"National Chiayi University","institution_ids":["https://openalex.org/I183570559"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111003697","display_name":"Shengyang Li","orcid":"https://orcid.org/0000-0002-9888-9869"},"institutions":[{"id":"https://openalex.org/I183570559","display_name":"National Chiayi University","ror":"https://ror.org/04gknbs13","country_code":"TW","type":"education","lineage":["https://openalex.org/I183570559"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Yang Li","raw_affiliation_strings":["National Chiayi University"],"affiliations":[{"raw_affiliation_string":"National Chiayi University","institution_ids":["https://openalex.org/I183570559"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004144189"],"corresponding_institution_ids":["https://openalex.org/I183570559"],"apc_list":null,"apc_paid":null,"fwci":0.8165,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78214594,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"31","issue":"4","first_page":"1","last_page":"27"},"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.994700014591217,"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":0.8984156847000122},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7722887396812439},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7089994549751282},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6343176960945129},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6157333850860596},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5589051842689514},{"id":"https://openalex.org/keywords/nearest-neighbor-search","display_name":"Nearest neighbor search","score":0.5084956884384155},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47780925035476685},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.4750154912471771},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4642195701599121},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.45344194769859314},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.43916428089141846},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4310625493526459},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41592806577682495},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2836275100708008},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2790011167526245},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.27676135301589966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22791224718093872},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1737452745437622},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.17205330729484558},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16828715801239014}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8984156847000122},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7722887396812439},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7089994549751282},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6343176960945129},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6157333850860596},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5589051842689514},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.5084956884384155},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47780925035476685},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.4750154912471771},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4642195701599121},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.45344194769859314},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.43916428089141846},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4310625493526459},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41592806577682495},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2836275100708008},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2790011167526245},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.27676135301589966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22791224718093872},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1737452745437622},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.17205330729484558},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16828715801239014},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2516890","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2516890","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4330605866","display_name":null,"funder_award_id":"NSC102-2221-E-415-019","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1963812750","https://openalex.org/W1981485102","https://openalex.org/W1984614894","https://openalex.org/W1987264320","https://openalex.org/W1989409200","https://openalex.org/W2014210958","https://openalex.org/W2018369373","https://openalex.org/W2029785729","https://openalex.org/W2037650152","https://openalex.org/W2046637790","https://openalex.org/W2066157452","https://openalex.org/W2067766814","https://openalex.org/W2081429741","https://openalex.org/W2082088000","https://openalex.org/W2096395091","https://openalex.org/W2110962145","https://openalex.org/W2111633771","https://openalex.org/W2113276649","https://openalex.org/W2115520217","https://openalex.org/W2119605622","https://openalex.org/W2124509324","https://openalex.org/W2128109799","https://openalex.org/W2144354472","https://openalex.org/W2149866048","https://openalex.org/W2151103935","https://openalex.org/W2160850174","https://openalex.org/W2162659160","https://openalex.org/W2163381575","https://openalex.org/W2623012778"],"related_works":["https://openalex.org/W1949910768","https://openalex.org/W1480566255","https://openalex.org/W2886490431","https://openalex.org/W2254397067","https://openalex.org/W2013685631","https://openalex.org/W1610355325","https://openalex.org/W1882921205","https://openalex.org/W4281746777","https://openalex.org/W2523233245","https://openalex.org/W2753968464"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"study":[4],"the":[5,59,76,80,98,105,112,123,126,131,163],"efficiency":[6],"problem":[7],"of":[8,43,79,153],"video":[9,27],"stream":[10,18],"near-duplicate":[11,142],"monitoring":[12,19],"in":[13,151],"a":[14,25,31,40,48,63,88,119],"large-scale":[15],"repository.":[16],"Existing":[17],"methods":[20,148],"are":[21],"mainly":[22],"designed":[23],"for":[24,39,97,125,139,149],"short":[26],"to":[28,57,91,117,135],"scan":[29,136],"over":[30],"query":[32,128],"stream;":[33],"they":[34],"have":[35],"difficulty":[36],"being":[37],"scalable":[38],"large":[41],"number":[42],"long":[44],"videos.":[45],"We":[46,110,144],"present":[47],"simple":[49],"but":[50],"effective":[51],"algorithm":[52,113,132,165],"called":[53],"incremental":[54],"similarity":[55,64,84,100],"update":[56],"address":[58],"problem.":[60],"That":[61],"is,":[62],"upper":[65,85],"bound":[66,86],"between":[67,101],"two":[68,102],"videos":[69],"can":[70],"be":[71],"calculated":[72],"incrementally":[73],"by":[74],"leveraging":[75],"prior":[77],"knowledge":[78],"previous":[81],"calculation.":[82],"The":[83],"takes":[87],"lightweight":[89],"computation":[90,96],"filter":[92],"out":[93],"unnecessary":[94],"time-consuming":[95],"actual":[99],"videos,":[103],"making":[104],"search":[106],"process":[107],"more":[108,173],"efficient.":[109],"integrate":[111],"with":[114],"inverted":[115],"indexing":[116],"obtain":[118],"candidate":[120,138],"list":[121],"from":[122],"repository":[124],"given":[127],"stream.":[129],"Meanwhile,":[130],"is":[133],"applied":[134],"each":[137],"locating":[140],"exact":[141],"subsequences.":[143],"implement":[145],"several":[146],"state-of-the-art":[147],"comparison":[150],"terms":[152],"accuracy,":[154,168],"execution":[155,175],"time,":[156],"and":[157,172],"memory":[158,170],"consumption.":[159],"Experimental":[160],"results":[161],"demonstrate":[162],"proposed":[164],"yields":[166],"comparable":[167],"compact":[169],"size,":[171],"efficient":[174],"time.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}