Real Adaboost for content identification

Rohit Naini, Pierre Moulin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Pages756-759
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE Statistical Signal Processing Workshop, SSP 2012 - Ann Arbor, MI, United States
Duration: Aug 5 2012Aug 8 2012

Publication series

Name2012 IEEE Statistical Signal Processing Workshop, SSP 2012

Other

Other2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Country/TerritoryUnited States
CityAnn Arbor, MI
Period8/5/128/8/12

ASJC Scopus subject areas

  • Signal Processing

Fingerprint

Dive into the research topics of 'Real Adaboost for content identification'. Together they form a unique fingerprint.

Cite this