{"id":"https://openalex.org/W2771908625","doi":"https://doi.org/10.1145/3139367.3139444","title":"Rao based watermark detector through two-level hierarchical prior in transform domain","display_name":"Rao based watermark detector through two-level hierarchical prior in transform domain","publication_year":2017,"publication_date":"2017-09-28","ids":{"openalex":"https://openalex.org/W2771908625","doi":"https://doi.org/10.1145/3139367.3139444","mag":"2771908625"},"language":"en","primary_location":{"id":"doi:10.1145/3139367.3139444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3139367.3139444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st Pan-Hellenic Conference on Informatics","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/A5063784024","display_name":"Antonis Mairgiotis","orcid":null},"institutions":[{"id":"https://openalex.org/I51955386","display_name":"Technological Educational Institute of Thessaly","ror":"https://ror.org/04056ja87","country_code":"GR","type":"education","lineage":["https://openalex.org/I51955386"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Antonis Mairgiotis","raw_affiliation_strings":["Dept. of Computer Science and Engineering, Tech. Educ. Inst. of Thessaly, Larissa, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, Tech. Educ. Inst. of Thessaly, Larissa, Greece","institution_ids":["https://openalex.org/I51955386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023396903","display_name":"Christos Koliopanos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159397","display_name":"Technological Educational Institute of Epirus","ror":"https://ror.org/04brn7x66","country_code":"GR","type":"education","lineage":["https://openalex.org/I4210159397"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Koliopanos","raw_affiliation_strings":["Technological Educational Institute of Epirus, Arta, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technological Educational Institute of Epirus, Arta, Greece","institution_ids":["https://openalex.org/I4210159397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039261315","display_name":"Lisimachos P. Kondi","orcid":"https://orcid.org/0000-0002-0678-4526"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Lisimachos P. Kondi","raw_affiliation_strings":["Dept. of Computer Science and Engineering, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5307","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and 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":"Advanced Steganography and 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/Signal Encryption","score":0.998199999332428,"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 Media Forensic Detection","score":0.9962999820709229,"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/watermark","display_name":"Watermark","score":0.8282808065414429},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.634222149848938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5877693295478821},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.5246408581733704},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4948346018791199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44054001569747925},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4140126705169678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39175015687942505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35212695598602295},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3276771306991577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.246913880109787},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14359015226364136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10547000169754028}],"concepts":[{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.8282808065414429},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.634222149848938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877693295478821},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.5246408581733704},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4948346018791199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44054001569747925},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4140126705169678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39175015687942505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35212695598602295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3276771306991577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.246913880109787},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14359015226364136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10547000169754028},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3139367.3139444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3139367.3139444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st Pan-Hellenic Conference on Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1491163994","https://openalex.org/W1524144700","https://openalex.org/W1600959336","https://openalex.org/W1965445419","https://openalex.org/W1969585116","https://openalex.org/W2092368531","https://openalex.org/W2096933452","https://openalex.org/W2098914003","https://openalex.org/W2116467012","https://openalex.org/W2120400964","https://openalex.org/W2120990108","https://openalex.org/W2121203485","https://openalex.org/W2132496448","https://openalex.org/W2133958774","https://openalex.org/W2134974095","https://openalex.org/W2170151472"],"related_works":["https://openalex.org/W2137394636","https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W2098152888","https://openalex.org/W1559740347","https://openalex.org/W2040356834","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W1514507288","https://openalex.org/W2183032046"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,29],"propose":[4],"a":[5,15,66,80],"transform":[6],"based":[7,13],"blind":[8],"zero-bit":[9],"watermark":[10,45],"detector,":[11],"designed":[12],"on":[14],"hierarchical,":[16],"two-level":[17],"image":[18],"prior.":[19],"This":[20],"model":[21],"is":[22,40],"applied":[23],"through":[24],"Rao":[25],"hypothesis":[26],"test,":[27],"where":[28],"detect":[30],"the":[31,48,52,56,76],"hidden":[32],"information":[33],"with":[34,83,96],"unknown":[35],"amplitude.":[36],"The":[37,59,71],"proposed":[38,60,77],"method":[39],"suitable":[41],"for":[42],"wavelet":[43],"domain":[44],"detection":[46],"without":[47,85],"need":[49],"to":[50],"estimate":[51],"appropriate":[53],"parameters":[54],"under":[55],"alternative":[57],"hypothesis.":[58],"system":[61],"shows":[62],"efficient":[63],"robustness":[64],"against":[65],"variety":[67],"of":[68,89],"known":[69,98],"attacks.":[70],"experimental":[72],"results":[73],"show":[74],"that":[75],"detector":[78],"has":[79],"good":[81],"performance":[82],"or":[84],"attacks":[86],"in":[87],"terms":[88],"ROC":[90],"(receiver":[91],"operating":[92],"characteristics)":[93],"curves":[94],"compared":[95],"other":[97],"state-of-the-art":[99],"statistical":[100],"detectors.":[101]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}