{"id":"https://openalex.org/W2053527830","doi":"https://doi.org/10.1109/icip.2012.6466842","title":"Robust video fingerprinting via structural graphical models","display_name":"Robust video fingerprinting via structural graphical models","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2053527830","doi":"https://doi.org/10.1109/icip.2012.6466842","mag":"2053527830"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2012.6466842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6466842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th 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":"https://openalex.org/A5100399461","display_name":"Mu Li","orcid":"https://orcid.org/0000-0002-4433-2301"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mu Li","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","Department of Electrical Engineering, Pennsylvania State University, University Park 16802, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park 16802, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014013504","display_name":"Vishal Monga","orcid":"https://orcid.org/0000-0002-5100-2263"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishal Monga","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","Department of Electrical Engineering, Pennsylvania State University, University Park 16802, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park 16802, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"249","last_page":"252"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9948999881744385,"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/T11309","display_name":"Music and Audio Processing","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8111357688903809},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.614852786064148},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.5903115272521973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5502830743789673},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5401507616043091},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4685407876968384},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.4536345899105072},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.44576892256736755},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4178485572338104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4161877930164337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3999510407447815},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.3666486144065857},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13633036613464355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8111357688903809},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.614852786064148},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.5903115272521973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5502830743789673},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5401507616043091},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4685407876968384},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.4536345899105072},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.44576892256736755},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4178485572338104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4161877930164337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3999510407447815},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3666486144065857},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13633036613464355},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2012.6466842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2012.6466842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 19th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1528479218","https://openalex.org/W1660562555","https://openalex.org/W1963878379","https://openalex.org/W1969738559","https://openalex.org/W2011039300","https://openalex.org/W2036739593","https://openalex.org/W2048393261","https://openalex.org/W2078759983","https://openalex.org/W2095704959","https://openalex.org/W2115328784","https://openalex.org/W2121947440","https://openalex.org/W2153866672","https://openalex.org/W2155491487"],"related_works":["https://openalex.org/W1574724839","https://openalex.org/W3177669699","https://openalex.org/W2622881578","https://openalex.org/W2213155192","https://openalex.org/W1623638113","https://openalex.org/W2096476311","https://openalex.org/W2899854151","https://openalex.org/W181787362","https://openalex.org/W2406608628","https://openalex.org/W3034776505"],"abstract_inverted_index":{"Applications":[0],"of":[1,16,24,35,48,80,153],"video":[2,7,25,50,56,74,94,105,132,146,160,169,186],"fingerprinting":[3,57,170],"range":[4],"from":[5,119,163],"traditional":[6],"retrieval":[8],"and":[9,40,69],"authentication":[10],"to":[11,59,72,90,110,129,140],"the":[12,22,33,73,78,113,123,131,144,151,167],"more":[13,175],"recent":[14],"problem":[15],"anti-piracy":[17],"search":[18],"brought":[19],"about":[20],"by":[21],"emergence":[23],"websites":[26],"such":[27],"as":[28,95],"Youtube.":[29],"Video":[30],"fingerprints":[31],"offer":[32],"potential":[34],"identifying":[36,112],"in":[37,55,150,185],"a":[38,93,96,173],"robust":[39],"scalable":[41],"manner":[42],"-":[43],"illegal":[44],"or":[45],"undesirable":[46],"uploads":[47],"copyrighted":[49],"content.":[51],"The":[52],"principal":[53],"challenge":[54],"is":[58],"extract":[60],"reduced":[61],"dimensionality":[62,137],"descriptors":[63],"that":[64,107,166],"can":[65,100,171],"withstand":[66],"incidental":[67],"spatial":[68],"temporal":[70,102],"distortions":[71],"while":[75],"still":[76],"allowing":[77],"discrimination":[79],"distinct":[81],"videos.":[82],"To":[83],"address":[84],"this":[85],"fundamental":[86],"problem,":[87],"we":[88,116],"propose":[89],"first":[91],"represent":[92],"graphical":[97],"structure":[98],"which":[99],"encode":[101],"relationships":[103],"between":[104],"shots":[106],"are":[108],"crucial":[109],"uniquely":[111],"video.":[114],"Next,":[115],"leverage":[117],"ideas":[118],"graph":[120,126],"theory,":[121],"namely":[122],"normalized":[124],"cuts":[125],"partitioning":[127],"method":[128],"divide":[130],"representation":[133],"into":[134],"sub-graphs.":[135],"Robust":[136],"reduction":[138],"applied":[139],"these":[141],"sub-graphs":[142],"yields":[143],"final":[145],"hash/fingerprint.":[147],"Experimental":[148],"results":[149],"form":[152],"receiver":[154],"operating":[155],"characteristic":[156],"(ROC)":[157],"curves":[158],"on":[159],"databases":[161],"acquired":[162],"YouTube":[164],"reveal":[165],"proposed":[168],"enable":[172],"much":[174],"favorable":[176],"robustness":[177],"vs.":[178],"discriminability":[179],"trade-off":[180],"over":[181],"state-of-the":[182],"art":[183],"algorithms":[184],"hashing.":[187]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}