Media hashing is an alternative to achieve many applications previously accomplished with watermarking. The major disadvantage of the existing media hashing technologies is their ...
Ramarathnam Venkatesan, S.-M. Koon, Mariusz H. Jak...
Traditionally, the Universal Background Model (UBM) is viewed as the background model of the entire acoustic feature space. We propose a novel interpretation of the UBM model, and...
Semantic video adaptation allows to transmit video content with different viewing quality, depending on the relevance of the content from the user's viewpoint. To this end, a...
Marco Bertini, Alberto Del Bimbo, Rita Cucchiara, ...
For the tasks of classification, two types of patterns can generate problems: ambiguous patterns and outliers. Furthermore, it is possible to separate classification algorithms in...
Jonathan Milgram, Mohamed Cheriet, Robert Sabourin
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...