@inproceedings{e2eb2dcf8ddd4bea8aa59617e7e156cb,
title = "Regularized Adaboost for content identification",
abstract = "This paper proposes a regularized Adaboost learning algorithm to extract binary fingerprints by filtering and quantizing perceptually significant features. The proposed algorithm extends the recent symmetric pairwise boosting (SPB) algorithm by taking feature sequence correlation into account. Information and learning theoretic analysis is given. Significant performance gains over SPB are demonstrated for both audio and video fingerprinting.",
keywords = "Content identification, fingerprinting, learning theory, mutual information",
author = "Honghai Yu and Pierre Mouliny",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638224",
language = "English (US)",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "3078--3082",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 ; Conference date: 26-05-2013 Through 31-05-2013",
}