Collusion-resistant audio fingerprinting system in the modulated complex lapped transform domain.
Identifieur interne : 001204 ( Main/Exploration ); précédent : 001203; suivant : 001205Collusion-resistant audio fingerprinting system in the modulated complex lapped transform domain.
Auteurs : Jose Juan Garcia-Hernandez [Mexique] ; Claudia Feregrino-Uribe ; Rene CumplidoSource :
- PloS one [ 1932-6203 ] ; 2013.
Descripteurs français
- KwdFr :
- MESH :
- législation et jurisprudence : Droit d'auteur.
- méthodes : Reconnaissance automatique des formes.
- instrumentation : Algorithmes, Analyse de Fourier, Humains, Multimédia, Traitement du signal assisté par ordinateur.
English descriptors
- KwdEn :
- MESH :
- instrumentation : Signal Processing, Computer-Assisted.
- legislation & jurisprudence : Copyright.
- methods : Pattern Recognition, Automated.
- Algorithms, Fourier Analysis, Humans, Multimedia.
Abstract
Collusion-resistant fingerprinting paradigm seems to be a practical solution to the piracy problem as it allows media owners to detect any unauthorized copy and trace it back to the dishonest users. Despite the billionaire losses in the music industry, most of the collusion-resistant fingerprinting systems are devoted to digital images and very few to audio signals. In this paper, state-of-the-art collusion-resistant fingerprinting ideas are extended to audio signals and the corresponding parameters and operation conditions are proposed. Moreover, in order to carry out fingerprint detection using just a fraction of the pirate audio clip, block-based embedding and its corresponding detector is proposed. Extensive simulations show the robustness of the proposed system against average collusion attack. Moreover, by using an efficient Fast Fourier Transform core and standard computer machines it is shown that the proposed system is suitable for real-world scenarios.
DOI: 10.1371/journal.pone.0065985
PubMed: 23762455
PubMed Central: PMC3675215
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Despite the billionaire losses in the music industry, most of the collusion-resistant fingerprinting systems are devoted to digital images and very few to audio signals. In this paper, state-of-the-art collusion-resistant fingerprinting ideas are extended to audio signals and the corresponding parameters and operation conditions are proposed. Moreover, in order to carry out fingerprint detection using just a fraction of the pirate audio clip, block-based embedding and its corresponding detector is proposed. Extensive simulations show the robustness of the proposed system against average collusion attack. Moreover, by using an efficient Fast Fourier Transform core and standard computer machines it is shown that the proposed system is suitable for real-world scenarios.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23762455</PMID><DateCompleted><Year>2014</Year><Month>01</Month><Day>14</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic-Print"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>6</Issue><PubDate><Year>2013</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Collusion-resistant audio fingerprinting system in the modulated complex lapped transform domain.</ArticleTitle><Pagination><MedlinePgn>e65985</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0065985</ELocationID><Abstract><AbstractText>Collusion-resistant fingerprinting paradigm seems to be a practical solution to the piracy problem as it allows media owners to detect any unauthorized copy and trace it back to the dishonest users. Despite the billionaire losses in the music industry, most of the collusion-resistant fingerprinting systems are devoted to digital images and very few to audio signals. In this paper, state-of-the-art collusion-resistant fingerprinting ideas are extended to audio signals and the corresponding parameters and operation conditions are proposed. Moreover, in order to carry out fingerprint detection using just a fraction of the pirate audio clip, block-based embedding and its corresponding detector is proposed. Extensive simulations show the robustness of the proposed system against average collusion attack. 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