• DocumentCode
    3541469
  • Title

    Real Adaboost for content identification

  • Author

    Naini, Rohit ; Moulin, Philippe

  • Author_Institution
    ECE Dept., Univ. of Illinois, Urbana, IL, USA
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    756
  • Lastpage
    759
  • Abstract
    This paper proposes a machine learning method based on Real Adaboost that jointly optimizes the content ID codes and the decoding metric. Significant performance gains over prior art are demonstrated for audio fingerprinting.
  • Keywords
    content-based retrieval; fingerprint identification; learning (artificial intelligence); Real Adaboost; audio fingerprinting; content ID codes; content identification; decoding metric; machine learning method; Algorithm design and analysis; Boosting; Databases; Decoding; Fingerprint recognition; Hidden Markov models; Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2012 IEEE
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-0182-4
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/SSP.2012.6319814
  • Filename
    6319814
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3541469