{"id":"https://openalex.org/W1969212131","doi":"https://doi.org/10.1109/trustcom.2013.92","title":"Feature Based Video Watermarking Resistant to Geometric Distortions","display_name":"Feature Based Video Watermarking Resistant to Geometric Distortions","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1969212131","doi":"https://doi.org/10.1109/trustcom.2013.92","mag":"1969212131"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom.2013.92","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5051381076","display_name":"Xiaochen Yuan","orcid":"https://orcid.org/0000-0002-7490-6695"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Xiao-Chen Yuan","raw_affiliation_strings":["Dept. of Computer and Information Science, University of Macau, Macao, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Science, University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005772506","display_name":"Chi\u2010Man Pun","orcid":"https://orcid.org/0000-0003-1788-3746"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Chi-Man Pun","raw_affiliation_strings":["Dept. of Computer and Information Science, University of Macau, Macao, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer and Information Science, University of Macau, Macao, China","institution_ids":["https://openalex.org/I204512498"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.98,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":8,"citation_normalized_percentile":{"value":0.65486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":84,"max":85},"biblio":{"volume":"5","issue":null,"first_page":"763","last_page":"767"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Digital Image Watermarking Techniques","score":1.0,"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/T10388","display_name":"Digital Image Watermarking Techniques","score":1.0,"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/T11017","display_name":"Chaos-based Image Encryption Techniques","score":0.9983,"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/T12357","display_name":"Digital Image Forgery Detection and Identification","score":0.9981,"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/watermarking","display_name":"Watermarking","score":0.609191},{"id":"https://openalex.org/keywords/image-forgery-detection","display_name":"Image Forgery Detection","score":0.541522},{"id":"https://openalex.org/keywords/resampling-detection","display_name":"Resampling Detection","score":0.529752},{"id":"https://openalex.org/keywords/camera-model-identification","display_name":"Camera Model Identification","score":0.509548},{"id":"https://openalex.org/keywords/image-encryption","display_name":"Image Encryption","score":0.508682},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44753835},{"id":"https://openalex.org/keywords/gamma-correction","display_name":"Gamma correction","score":0.41072053}],"concepts":[{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.9264257},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.88932234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7072246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6446047},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.63016987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5937066},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5383777},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.52656937},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44753835},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.43995342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41657946},{"id":"https://openalex.org/C17916492","wikidata":"https://www.wikidata.org/wiki/Q1144257","display_name":"Gamma correction","level":3,"score":0.41072053},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23673713},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07298204},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom.2013.92","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1884799972","https://openalex.org/W1975812834","https://openalex.org/W2081963921","https://openalex.org/W2102800793","https://openalex.org/W2106626203","https://openalex.org/W2110623466","https://openalex.org/W2111802657","https://openalex.org/W2112522889","https://openalex.org/W2169940774","https://openalex.org/W3212599909","https://openalex.org/W4229779231"],"related_works":["https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W2358993821","https://openalex.org/W2137394636","https://openalex.org/W2098152888","https://openalex.org/W2080353903","https://openalex.org/W2040356834","https://openalex.org/W1559740347","https://openalex.org/W1516446231","https://openalex.org/W1514507288"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,81],"digital":[4],"video":[5],"watermarking":[6,68,113],"scheme":[7,114],"which":[8],"is":[9,22,48,65,115],"robust":[10,116],"to":[11,103],"geometric":[12,118],"distortions,":[13],"such":[14],"as":[15],"rotation,":[16],"scaling,":[17],"and":[18,30,52,59,101,120],"cropping.":[19],"The":[20,40],"watermark":[21],"embedded":[23],"/":[24,35],"extracted":[25,75],"based":[26],"on":[27],"feature":[28,41],"extraction":[29,42],"local":[31,61,93],"Zernike":[32,62,94,99],"transform":[33,100],"in":[34],"from":[36],"each":[37,71],"selected":[38,72],"frame.":[39],"method":[43,64],"called":[44],"Adaptive":[45],"Harris":[46,56],"Detector":[47],"proposed":[49,112],"by":[50,98],"adopting":[51],"revising":[53],"the":[54,60,74,92,105,111,123,126],"traditional":[55],"Corner":[57],"Detector,":[58],"moments-based":[63],"raised":[66],"for":[67],"use.":[69],"In":[70],"frame,":[73],"circular":[76],"patches":[77,85],"are":[78,96],"decomposed":[79],"into":[80],"collection":[82],"of":[83,91,125],"binary":[84],"with":[86],"Bit-Plane":[87],"Decomposition":[88],"method.":[89],"Magnitudes":[90],"moments":[95],"calculated":[97],"modified":[102],"embed":[104],"watermarks.":[106],"Experimental":[107],"results":[108],"show":[109],"that":[110],"against":[117],"distortions":[119],"meanwhile":[121],"preserves":[122],"imperceptibility":[124],"video.":[127],"Furthermore,":[128],"it":[129],"outperforms":[130],"comparable":[131],"methods":[132],"when":[133],"tested":[134],"under":[135],"common":[136],"signal":[137],"processing":[138],"attacks.":[139]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1969212131","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2024-11-23T01:41:47.116479","created_date":"2016-06-24"}