{"id":"https://openalex.org/W2113665822","doi":"https://doi.org/10.1109/icme.2009.5202762","title":"Video fingerprinting based on orientation of luminance centroid","display_name":"Video fingerprinting based on orientation of luminance centroid","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2113665822","doi":"https://doi.org/10.1109/icme.2009.5202762","mag":"2113665822"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2009.5202762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2009.5202762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Multimedia and Expo","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/A5083937747","display_name":"Seunjae Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Seunjae Lee","raw_affiliation_strings":["Digital Contents Research Division, ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Digital Contents Research Division, ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066812726","display_name":"Young Ho Suh","orcid":"https://orcid.org/0000-0003-3979-1615"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Ho Suh","raw_affiliation_strings":["Digital Contents Research Division, ETRI, Daejeon, Korea"],"affiliations":[{"raw_affiliation_string":"Digital Contents Research Division, ETRI, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083937747"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":1.9414,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8785198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1386","last_page":"1389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T13579","display_name":"Image and Video Stabilization","score":0.9977999925613403,"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/centroid","display_name":"Centroid","score":0.8836979866027832},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.7877222299575806},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7576438188552856},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7269525527954102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6870921850204468},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6632709503173828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6453499794006348},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.557722270488739},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4111866056919098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3696278929710388},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23885416984558105}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.8836979866027832},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.7877222299575806},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7576438188552856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7269525527954102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6870921850204468},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6632709503173828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453499794006348},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.557722270488739},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4111866056919098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3696278929710388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23885416984558105},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2009.5202762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2009.5202762","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1528479218","https://openalex.org/W1981485102","https://openalex.org/W2066799613","https://openalex.org/W2124386111","https://openalex.org/W2149866048","https://openalex.org/W2153913652","https://openalex.org/W2154189647","https://openalex.org/W2155491487","https://openalex.org/W4243869499","https://openalex.org/W4248535267"],"related_works":["https://openalex.org/W1990245967","https://openalex.org/W2054177013","https://openalex.org/W2381926679","https://openalex.org/W4383506493","https://openalex.org/W1994772959","https://openalex.org/W2427340667","https://openalex.org/W2136398500","https://openalex.org/W2600517000","https://openalex.org/W4377104339","https://openalex.org/W2376543359"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"video":[6,29,49,76],"fingerprinting":[7],"method":[8,56,71,94],"based":[9],"on":[10],"the":[11,40,54,69,73,92],"orientation":[12,41],"of":[13,42,75,86],"luminance":[14,43],"centroid.":[15],"To":[16],"attain":[17],"robustness":[18],"against":[19],"frame":[20],"rate":[21],"change,":[22],"variation":[23],"in":[24,33,84],"color":[25,37],"characteristics":[26],"and":[27,36,59,78,98],"resizing,":[28],"frames":[30],"are":[31],"normalized":[32],"time,":[34],"spatial":[35],"domain.":[38],"Thereafter,":[39],"centroid":[44],"is":[45,57,95],"calculated":[46],"as":[47,48],"fingerprint.":[50],"Under":[51],"various":[52],"distortions,":[53],"proposed":[55,70,93],"evaluated":[58],"compared":[60],"with":[61,81],"other":[62,82],"centroid-based":[63],"methods.":[64],"Experimental":[65],"results":[66],"show":[67],"that":[68,91],"satisfies":[72],"requirements":[74],"fingerprint,":[77],"performance":[79],"comparison":[80],"methods":[83],"terms":[85],"receiver":[87],"operating":[88],"characteristic":[89],"indicates":[90],"more":[96],"robust":[97],"has":[99],"better":[100],"discriminatory":[101],"property":[102],"than":[103],"others.":[104]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
