{"id":"https://openalex.org/W2122906693","doi":"https://doi.org/10.1109/icip.2008.4712105","title":"Local feature extraction for video copy detection in a database","display_name":"Local feature extraction for video copy detection in a database","publication_year":2008,"publication_date":"2008-01-01","ids":{"openalex":"https://openalex.org/W2122906693","doi":"https://doi.org/10.1109/icip.2008.4712105","mag":"2122906693"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2008.4712105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Ehsan Maani","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ehsan Maani","raw_affiliation_strings":["Northwestern University",", Northwestern University, , , , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]},{"raw_affiliation_string":", Northwestern University, , , , USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054437456","display_name":"Sotirios A. Tsaftaris","orcid":"https://orcid.org/0000-0002-8795-9294"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sotirios A. Tsaftaris","raw_affiliation_strings":["Northwestern University",", Northwestern University, , , , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]},{"raw_affiliation_string":", Northwestern University, , , , USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048650003","display_name":"Aggelos K. Katsaggelos","orcid":"https://orcid.org/0000-0003-4554-0070"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aggelos K. Katsaggelos","raw_affiliation_strings":["Northwestern University",", Northwestern University, , , , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University","institution_ids":[]},{"raw_affiliation_string":", Northwestern University, , , , USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1716","last_page":"1719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","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/T11439","display_name":"Video Analysis and Summarization","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/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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9972000122070312,"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":0.7298451662063599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7083114981651306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.646306037902832},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5823437571525574},{"id":"https://openalex.org/keywords/key-frame","display_name":"Key frame","score":0.5092719793319702},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46798086166381836},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4644624590873718},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4484906792640686},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42796653509140015},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4231262803077698},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.41071590781211853},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31457364559173584},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.24169856309890747},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16050490736961365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7298451662063599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7083114981651306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.646306037902832},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5823437571525574},{"id":"https://openalex.org/C2780139006","wikidata":"https://www.wikidata.org/wiki/Q1493902","display_name":"Key frame","level":3,"score":0.5092719793319702},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46798086166381836},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4644624590873718},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4484906792640686},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42796653509140015},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4231262803077698},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.41071590781211853},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31457364559173584},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.24169856309890747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16050490736961365},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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":2,"locations":[{"id":"doi:10.1109/icip.2008.4712105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2008.4712105","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 15th IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.343.2547","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.343.2547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ivpl.ece.northwestern.edu/system/files/maani_icip08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1485471047","https://openalex.org/W2021297101","https://openalex.org/W2074231493","https://openalex.org/W2106714663","https://openalex.org/W2154781685","https://openalex.org/W2177274842"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2788095264","https://openalex.org/W2146076056","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W2136054869","https://openalex.org/W1964120219","https://openalex.org/W2000165426","https://openalex.org/W2385132419","https://openalex.org/W2772780115"],"abstract_inverted_index":{"In":[0,52],"this":[1],"paper":[2],"a":[3,18,48,54,72,83],"new":[4],"content-based":[5],"copy":[6],"identification":[7],"method":[8],"for":[9,37],"video":[10],"sequences":[11],"is":[12,15,44,58,86],"presented.":[13],"It":[14],"robust":[16,25],"to":[17,26,66,77],"number":[19],"of":[20,93],"image":[21,35],"transformations":[22],"and":[23,31,63],"particulary":[24],"compression":[27],"artifacts.":[28],"A":[29],"scale":[30],"rotation":[32],"invariant":[33],"local":[34],"descriptor":[36],"corner":[38],"points":[39],"in":[40],"detected":[41],"key":[42,68],"frames":[43,69],"proposed":[45],"based":[46],"on":[47],"generalized":[49],"Radon":[50],"transform.":[51],"addition,":[53],"distance":[55],"similarity":[56],"metric":[57],"used":[59],"that":[60],"fuses":[61],"intensity":[62],"geometry":[64],"information":[65],"compare":[67],"extracted":[70],"using":[71],"scene":[73],"detection":[74],"algorithm.":[75],"Furthermore,":[76],"achieve":[78],"low":[79],"querying":[80],"computational":[81],"complexity":[82],"DP":[84],"approach":[85],"employed.":[87],"Experimental":[88],"results":[89],"demonstrate":[90],"the":[91],"effectiveness":[92],"our":[94],"approach.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}